BE E&TC Syllabus_ Wef 2015 Final

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    SOLAPUR UNIVERSITY, SOLAPUR

    FACULTY OF ENGINEERING & TECHNOLOGY

    ELECTRONICS & TELECOMMUNICATION ENGINEERING

    Syllabus for

    BE !E & TC E"#$"%%r$"# '%f A(a)%*$( Y%ar +,-./-0

    1w.e.f. academic year 2015-16

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    SOLAPUR UNIVERSITY, SOLAPURFACULTY OF ENGINEERING & TECHNOLOGY

    El%(1ro"$(s & T%l%(o**u"$(a1$o" E"#$"%%r$"#

    Pro#ra* E)u(a1$o"al Ob2%(1$3%s a") Ou1(o*%s

    Pro#ra* E)u(a1$o"al Ob2%(1$3%s !PEO4S

    1 To prepare students to give good theoretical background with sound practical knowledge, enable

    them to analyze and solve Electronics and communication Engineering problems by

    applying basic principles of mathematics, science, and engineering and using modern tools and

    techniques.

    2 To make students to test hardware components and software for offering solution to real life

    situations.

    To inculcate students to be sensitive to ethical, societal and environmental issues while pursuing

    their professional duties.

    ! To build strong fundamental knowledge amongst students to pursue higher education, and

    to enhance research and continue professional development in Electronics, communication and

    "T industries with attitude for lifelong learning.

    # To nurture students with technical and communication skills in order to be able to function on

    multidisciplinary fields and make them aware of contemporary issues at national and

    international levels.

    $ To develop students for team working and managerial skills leading to entrepreneurship and

    leadership.

    Pro#ra* Ou1(o*%s !PO4s

    1. %n ability to apply knowledge of mathematics, science, and engineering,

    2. %n ability to design and conduct e&periments, as well as to analyze and interpret data,

    . %n ability to design a system, component, or process to meet desired needs within realistic

    constraints such as economic, environmental, social, political, ethical, health and safety,

    manufacturability, and sustainability,

    !. %n ability to function on multidisciplinary teams,

    #. %n ability to identify, formulate, and solve engineering problems,

    $. %n understanding of professional and ethical responsibility,

    '. %n ability to communicate effectively,

    (. The broad education necessary to understand the impact of engineering solutions in a

    global, economic, environmental, and societal conte&t,

    ). % recognition of the need for, and an ability to engage in life*long learning,

    1+. % knowledge of contemporary issues, and

    2w.e.f. academic year 2015-16

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    11. %n ability to use the techniques, skills, and modern engineering tools necessary for

    engineering practice.

    SOLAPUR UNIVERSITY, SOLAPUR

    FACULTY OF ENGINEERING & TECHNOLOGY

    STRUCTURE OF BE !El%(1ro"$(s & T%l%(o**u"$(a1$o" E"#$"%%r$"#

    5EF +-./-0

    B E !El%(1ro"$(s & T%l%(o**u"$(a1$o" E"#$"%%r$"# S%*%s1%r/ I

    SrSub2%(1

    T%a(6$"# S(6%*% E7a*$"a1$o" S(6%*%

    No L Tu1 P To1al T6 T5 POE OE To1al

    1omputer ommunication

    ! ** 2 $ 1++ 2# #+ ** 1'#

    -etwork

    2 /0" esign ! ** 2 $ 1++ 2# #+ ** 1'#

    0atellite 1 ** ! 1++ 2# ** ** 12#ommunication

    !oding Theory

    1 ** ! 1++ 2# ** ** 12#

    # Elective " ! ** 2 $ 1++ 2# ** ** 12#

    $ 0eminar 3 4ro5ect ** ** ! ! ** 2# ** #+ '#

    ' ocational Training ** ** ** ** ** 2# ** ** 2#

    To1al -8 + - 9, .,, -:. - ., 8+.

    El%(1$3% ; I A)3a"(%) T%l%(o**u"$(a1$o" N%1'or

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    No1%8 7inimum strength of the students for Elective be 1#.

    Term work assessment shall be a continuous process based on student9s performance in

    class tests, assignments, homework, sub5ect seminars, quizzes, laboratory books and

    their interaction and attendance for theory and lab sessions as applicable.: The batch size for the practical9s;tutorials be of 1# students.

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    :

    :

    :

    :

    :

    @ Sola?ur U"$3%rs$1y, Sola?ur@ BE!El%(1ro"$(s a") T%l%(o**u"$(a1$o" E"#$"%%r$"# Par1/I

    :

    @ COMPUTER COMMUNICATION NET5OR

    :

    @ T%a(6$"# S(6%*%

    : Theory8! >rs;?eek : 4ractical 82 >r;?eek

    :

    @ E7a*$"a1$o" S(6%*%

    : Theory81++ 7arks: Term*?ork82# 7arks

    : 4ractical

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    : =raming, Error detection and error correction, =low control methods* 0top and wait

    protocol, sliding window protocol, 7% ollision oriented and collision based protocols,>/.

    @

    @ UNIT 9 Tra"s?or1 Lay%r 8HrsD

    :

    @ T4;"4, T4 header format, A4, "4 header, "4 !, "4 addressing, 0ubneting, 7asking,T4 congestion control

    :

    @ S%(1$o" ; II@ UNIT > LAN S1a")ar)s 0

    HrsD

    :

    @ "EEE (+2.* 4erformance of "EEE (+2 /%-, 7egabit /%-, Bigabit /%-, "EEE (+2.!,

    "EEE(+2.#, >4, %@4, @%@4:@ UNIT . N%1'or< Lay%r -

    HrsD

    :

    @ @outing* 4rinciple of optimality, shortest path routing, flow based routing, distance vectorrouting, link state routing, "74

    @

    @ UNIT 0 N%1'or< =%3$(%s >

    HrsD

    :

    : 7

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    $. -etwork analyzer C4rotocol analyzerD*wire shark

    '. "nternet application protocol*=T4 and -0

    :

    T%71 Boo

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    :

    @ S%(1$o" ; I:

    @ U"$1 - CMOS =%s$#"

    :HrsD: 7/, ariables, 0ignals,onstants,

    : %rrays, >/ procedures, packages, libraries, attributes, delays, operator overloading,

    generics, generate statement, "EEE standard logic, case statement.:

    @ U"$1 9 VH=L Mo)%l for (o*b$"a1$o"al a") s%u%"1$al lo#$(:HrsD

    : !*bit binary adder, %rray multiplier, divider, multiple&er, comparator, decoder, /atches,=lip*flops, counters Csynchronous and asynchronousD,shift registers, static @%7.

    :

    ::

    :

    ::

    :

    @ S%(1$o" ; II@ U"$1 > S1a1% *a(6$"%s a") $1s a??l$(a1$o"s

    HrsD

    : 0tate machine using 7oore and 7ealy model, >/ model for Traffic light controller,

    sequence detector, coffee vending machine using state machine, multiplier using % and0>"=T method.

    :

    @ U"$1 . Ar(6$1%(1ur% of (o**%r($al )%3$(%s

    8HrsD

    : 4/ %rchitecture, ilin& )#++,%ltera 7a&'+++, =4B% organization and architecture,

    %ltera =le& 1+k,"ntroduction to 0ystem on hip architecture.

    :@ U"$1 0 T%s1$"# of Lo#$( C$r(u$1s

    :HrsD

    : Testing combinational and sequential logic, 6oundary scan, 6uilt "n 0elf test, Test bench for

    combinational design for binary adder, comparator, encoder, decoder, multiple&er and

    demultiple&er.

    :

    @ T%r* 5or

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    : Term work shall be based on minimum ten programs based on above curriculum using

    suitable E% tools. % suggestive list is as below*1. esign of half adder and full adder using >/ and schematic editor

    2. esign of ! bit adder and carry look ahead adder using structural style modeling.

    . esign of code converters and comparators!. esign of encoder and decoder

    #. esign of (81 multiple&er using >/

    $. esign of flip flops'. esign of universal shift register

    (. esign of asynchronous and synchronous counters

    ). esign of sequence detector using state machine1+. esign of Traffic light controller using state machine editor

    11. =requency multipliers and dividers

    12. esign of %/A

    1. esign of @%7 with read write control

    1!. ?riting test bench for adder , encoder:

    @ T%71 boo/, 6rown,ranesic 7cBraw*

    >illC0econd editionD.

    : 2. igital 0ystems esign using >/, harles >. @oth, /izy Furian Gohn* engage/earning,

    : 0econd Edition

    : . ircuit esign using >/, olnei %. 4edroni, 4>"

    @ R%f%r%"(% boo/ 4rimer G.6hasker 4rentice >all

    : 2. 4rinciples of 7": !. igital /ogic esign and >/* 4hadake ?iley "ndia

    : #. atasheets of 4/s and =4B%s.

    @ Sola?ur U"$3%rs$1y, Sola?ur@ BE!El%(1ro"$(s a") T%l%(o**u"$(a1$o" E"#$"%%r$"# Par1/I

    :

    @ SATELLITE COMMUNICATION

    :@ T%a(6$"# S(6%*%

    : Theory8>rs;?eek : Tutorial 81>r;?eek

    :

    @ E7a*$"a1$o" S(6%*%

    : Theory81++7arks

    : Term*?ork82# 7arks

    :

    Cours% Ob2%(1$3%s /

    1. To introduce to student principles of orbital mechanism and satellite subsystems.

    2. To make student understand the satellite link budget design.. To make student comprehend concept of Earth 0tation, B40 system.

    9w.e.f. academic year 2015-16

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    :

    Cours% Ou1(o*%s /

    : %fter completion of this course, student

    1. an e&plain basics of satellite communication

    2. "s able to state various aspects related to satellite system.. "s able to solve problems related to orbital mechanism, link budget design.:

    @ S%(1$o" ; I

    :: U"$1 - I"1ro)u(1$o" 1o sa1%ll$1% (o**u"$(a1$o", Orb$1 M%(6a"$s* a") Lau"(6%rs/

    H:6rsD

    : Introduction >istory of satellite communication, evelopment of satellite communication,frequency allocation.

    : Orbital Mechanism-"ntroduction, basic principle, Fepler9s laws, Ear16 s1a1$o"/ 0

    6rsD

    : "ntroduction, Types of earth stations* =00, 600, 700, single frequency station, Batewaystation, earth station architecture, earth station design consideration, performance

    parameters, optimization, earth station testing, @.=. equipment for earth station.

    :

    10w.e.f. academic year 2015-16

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    : U"$1 . Lo' Ear16 Orb$1 a") No"/G%os1a1$o"ary Sa1%ll$1% sys1%*s/ .

    6rsD

    : "ntroduction, orbit considerations, coverage and frequency consideration, delay and

    throughput consideration, operational -B0< constellation design*"rridium, Teledesic

    :: U"$1/0 Sa1%ll$1% Na3$#a1$o" a") Global Pos$1$o"$"# sys1%* !GPS* :

    6rsD

    : "ntroduction, radio and satellite navigation, B40 position location principles, B40 receiversand codes, satellite signal acquisition, 0%T.

    : >ome satellite T, igital 60 T, satellite radio broadcasting.

    :

    @ T%r* 5or

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    @ T%a(6$"# S(6%*%: Theory8>rs;?eek

    : Tutorial81>r;?eek

    :

    @ E7a*$"a1$o" S(6%*%: Theory81++

    7arks

    : Term*?ork82# 7arks

    : Cours% Ob2%(1$3%s

    1. To reinforce student9s concepts of probability and random signal theory

    2. To introduce to student concepts of coding techniques of linear block code, cyclic codes,

    Turbo codes and onvolution codes. To make student able to design and implement coding techniques of linear block code,

    cyclic codes, Turbo codes, onvolution codes.

    :

    Cours% Ou1(o*%s

    : %fter completion of this course, student will be able to

    1. 0olve problems in coding techniques

    2. %nalyze and design coder and decoder for linear block code, cyclic codes.:

    @ S%(1$o" ; I:

    @ U"$1 - Probab$l$1y a") Ra")o* Var$abl%s/

    6rsD

    : 4robability8 "ntroduction to probability, set theory, a&iomatic approach to theory ofprobability, conditional probability and 6ayes theorem. @andom ariables8 oncepts of

    random variables, cumulative distribution function, probability distribution function, Goint

    cumulative distribution and 5oint density function of two random variables.:

    @ U"$1 + L$"%ar Blo(< Co)%s/ 0

    6rsD

    : "ntroduction to linear block code, linear block code e&amples, generator matri&, systematic

    linear block codes, 4arity*check matri&, 0yndrome testing, Error correction, ecoder

    implementation

    :

    @ U"$1 9 Cy(l$( Co)%s / :

    6rsD

    : %lgebraic structure of cyclic codes, 6inary cyclic code properties, Encoding systematicform, circuit for dividing polynomials, 0ystematic encoding with an Cn*kD stage shift

    @egister, Error detection with an Cn*kD stage shift register

    ::

    :

    :

    :

    :

    12w.e.f. academic year 2015-16

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    @ S%(1$o" ; II

    :@ U"$1 > Co"3olu1$o" E"(o)$"# / 8

    6rsD

    : onvolution Encoding, onvolution encoder representation8 onnection @epresentation,0tate representation and the state diagram, tree diagram, Trellis diagram, istance

    4roperties of convolution odes, 0ystemic and -onsystematic onvolution odes,

    atastrophic Error propagation in onvolution odes:

    @ U"$1 . Co"3olu1$o" =%(o)$"# / 8

    6rsD

    : =ormulation of the onvolution decoding problem 8 7a&imum likelihood decoding,

    hannel models >ard versus 0oft decisions, The iterbi onvolution decoding, %n

    e&ample of iterbi onvolution decoding, ecoder "mplementation, 4ath memory andsynchronization.

    :@ U"$1 0 Turbo Co)%s 0

    6rsD

    : Turbo code concepts, /og*/ikelihood algebra, 4roduct code e&ample, The 7%4 decoding

    algorithm, 7%4 decoding e&ample.

    :

    @ T%r* 5or

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    :

    :

    :

    :

    @ Sola?ur U"$3%rs$1y, Sola?ur@ BE!El%(1ro"$(s a") T%l%(o**u"$(a1$o" E"#$"%%r$"# Par1/I

    @ El%(1$3%/I

    @ A=VANCE= TELECOMMUNICATION NET5OR

    :

    @ T%a(6$"# S(6%*%: Theory8! >rs;?eek

    : 4ractical 82 >r;?eek

    :

    @ E7a*$"a1$o" S(6%*%: Theory81++ 7arks

    : Term*?ork82# 7arks

    :

    : Cours% Ob2%(1$3%s

    :1. To acquire knowledge of the Telecommunication network, its architecture and operation

    2. To describe different standards of wireless -etwork Technology.

    . To make students familiar with different %dvanced Telecommunication -etworks.!. To learn about applications related to different networks.

    :

    Cours% Ou1(o*%s

    : %fter completion of this course, student will be able to1. "dentify and describe different standards of wireless -etwork Technology.

    2. ifferentiate the various network %rchitecture.. E&plain applications of Telecommunication -etwork.

    !. Anderstand different implementation scenarios and issues.:

    @ S%(1$o" ; I

    :@ UNIT - E*%r#$"# '$r%l%ss N%1'or< T%(6"olo#y 8 HrsD

    :

    : "EEE (+2.11 ?/%-, ET0" >"4E@ /%- Technology, "EEE(+2.1# ?4%- Technology,

    "EEE (+2.1$ ?7%- Technology, ?ireless sensor network, @=" Technology

    @ UNIT +N%71 G%"%ra1$o" Mob$l% N%1'or

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    @ UNIT 9 A)3a"(%) O?1$(al N%1'or< 8

    HrsD

    :

    : 0, Types of optical network topologies, metro optical networking,

    Beneralized 74/0 use in optical network, %rchitecture of "4 and 74/0 based opticalTransport network

    :

    :

    @ S%(1$o"/II

    @ UNIT > 8 Co#"$1$3% Ra)$o N%1'or< -

    HrsD

    :

    : 7aking radio self aware, the cognitive cycle, organization of cognitive task, structuring

    knowledge for cognitive task, Enabling location and environment awareness in cognitive

    radios* concepts, architecture, esign consideration

    @ UNIT . Coo?%ra1$3% Co**u"$(a1$o"s a") N%1'or

    HrsD

    :

    : The special requirements of Tele*healthcare, ognitive @adio and fle&ible spectrum usage

    for Tele*healthcare, ooperative ommunications for Tele*healthcare

    :

    @ T%r* 'or

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    - -e&t Beneration ?ireless 0ystem and -etworks * >siao*>wa hen, 7ohsen Buizani * ?iley

    publication

    + ognitive @adio -etwork *Fwang*heng hen and @am5ee 4rasad * Gohn ?iley and sons

    /td

    9 ognitive @adio ommunications and -etworks * 0 %le&ander 7. ?yglinski 7azier-ekovee, Thomas >ou * 4rinciples and 4racticeJ.

    > ooperative ommunication and -etworking * F G @ayliu, % F 0adek,?eifeng 0u and

    %ndres Fwasinski* ambridge Aniversity 4ress, 2++)

    :

    :

    @ Sola?ur U"$3%rs$1y, Sola?ur@ BE!El%(1ro"$(s a") T%l%(o**u"$(a1$o" E"#$"%%r$"# Par1/I

    @ El%(1$3%/I

    @ IMAGE PROCESSING:

    @ T%a(6$"# S(6%*%: Theory8! >rs;?eek

    : 4ractical 82 >r;?eek

    :

    @ E7a*$"a1$o" S(6%*%: Theory81++ 7arks

    : Term?ork82# 7arks

    :

    Cours% Ob2%(1$3%s

    1. To introduce to student concept of image 3 color fundamental concept.

    2. To introduce to student fundamentals of igital "mage 4rocessing in spatial and transform

    domain.

    . To introduce to student time and frequency domain techniques for image enhancement.!. To make student realize need of image transformation 3 image compression techniques.

    #. To make student understand different basic image analysis techniques 3 application areas ofigital "mage 4rocessing.

    :

    Cours% Ou1(o*%s

    : %fter studying this course student will be able to1. escribe applications of digital image processing.

    2. %pply mathematical tools for processing images.

    . Enhance images using time and frequency domain enhancement techniques

    !. %nalyze the images

    #. escribe various image compression techniques:

    @ S%(1$o" ; I

    :@ U"$1 - =$#$1al I*a#% Fu")a*%"1als

    6rsD

    :

    16w.e.f. academic year 2015-16

  • 7/25/2019 BE E&TC Syllabus_ Wef 2015 Final

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    : Elements of visual perception, "mage acquisition and sensing, "mage sampling 3

    Kuantization, 0ome basic relationships between pi&els, -eighborhood concepts, ad5acencyand distance measures, color fundamentals, color models, pseudo color image processing.

    :

    @ U"$1 + I*a#% E"6a"(%*%"1 A") R%s1ora1$o" -6rsD

    :

    : 6asic grey level transformations, histogram processing, enhancement using arithmetic andlogic operations, spatial filtering smoothing and sharpening filters. 0moothing and

    sharpening in frequency domain, 7odel of "mage degradation ; restoration process, -oise

    models, @estoration in the presence of -oise spatial filtering.:

    :

    @ U"$1 9 Mor?6olo#$(al I*a#% Pro(%ss$"# .

    6rsD

    :: ilation 3 erosion, opening 3 closing operations, basic morphological operations such as

    region filling, thinning, thickening, skeletons, pruning for binary and gray scale images.

    : S%(1$o" ; II@ U"$1 > I*a#% S%#*%"1a1$o" 8

    6rsD

    : etection of discontinuities, edge linking and boundary detection, thresholding, region

    based segmentation, use of watershed algorithm, image representation* chain codes,

    boundary descriptors 3 regional descriptors:

    @ U"$1 . I*a#% Tra"sfor*s & Co*?r%ss$o" - 6rsD

    : oding, interpi&el and psychovisual image redundancy, fidelity criteria, Error freecompression 2* iscrete =ourier Transform, iscrete osine Transform its application in6aseline G4EB, sub band coding, >aar Transform it9s application as a ?avelet, multi

    resolution e&pansions, 1* ?avelet Transform, =ast ?avelet TransformL

    :

    @ U"$1 0 I*a#% Pro(%ss$"# A??l$(a1$o"s 0

    6rsD

    : %pplications in fingerprinting, =ace detection, 7edical applications such as tumor detection,@emote sensing.

    :

    @ T%r* 5or

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    '. %pplying Bray level transformations to the image.

    (. =inding >istogram of the image and enhancing the image using >istogram Equalization.). 0moothing and 0harpening of the image using 0patial domain filtering.

    1+. 0moothing and 0harpening of the image using frequency domain filtering.

    11. %ddition of the noise to the image and removal of noise using different filters.12. ilation and erosion of the image.

    1. "mage compression using any one technique.

    1!. Edge detection using any one operator.1#. 6oundary e&traction.

    1$. "mplementation of 0egmentation.

    :

    @ TET BOOS

    : 1. Bonzalez, ?oods, Migital "mage 4rocessing9 4>" , 2nd edition

    : 2. 7ilan 0onka M"mage 4rocessing, %nalysis 3 7achine ision9 Thomson 4ublication.

    :

    @ REFERENCE BOOS/: 1..igital "mage 4rocessing* 4ratt ?.F *Gohn ?iley, 2++1

    : 2. =undamentals of igital "mage 4rocessing* Gain %.F.*4>", 1))': . igital "mage 4rocessing and %nalysis* 6. handra 3 .. 7a5umdar* 4>" pub., =irst

    Edition

    :

    :

    @ Sola?ur U"$3%rs$1y, Sola?ur@ BE!El%(1ro"$(s a") T%l%(o**u"$(a1$o" E"#$"%%r$"# Par1/I

    @ El%(1$3% /I

    @ A=VANCE =SP:

    @ T%a(6$"# S(6%*%: Theory8 !>rs;?eek

    : 4ractical 82 >r;?eek :

    @ E7a*$"a1$o" S(6%*%: Theory81++ 7arks

    : Term*?ork82# 7arks:

    Cours% Ob2%(1$3%s

    1. To make student realize need of advanced techniques in 04

    2. To introduce to student wavelet transform

    . To make student understand multi*rate digital signal processing fundamentals

    !. To make student able to design adaptive filters#. To make student understand different methods for spectrum estimation

    $. To introduce to student architecture of 04 processors

    :

    Cours% Ou1(o*%s

    : 0tudents will be able to

    1. %pply basics of 04 and wavelet transform

    18w.e.f. academic year 2015-16

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    2. esign and implementation of practical sampling convertors

    . %nalyze adaptive filters!. Ase types of spectrum estimation

    @ S%(1$o" ; I

    :@ U"$1 - A" o3%r3$%' of =SP > 6rsD

    :

    : @eview of 04 systems, =T, ==T and igital =ilters, ecimation and "nterpolation.- Numerical $roblems based on this unit are not e%&ected

    :

    @ U"$1 + 5a3%l%1 Tra"sfor* - 6rsD

    :

    : A)a?1$3% =$#$1al f$l1%rs - 6rsD:

    : oncepts of adaptive filtering, 6asic ?iener filter theory, the basic /70 adaptive algorithm,

    @ecursive least squares algorithm, %pplications:

    @ U"$1 . S?%(1ru* %s1$*a1$o" a") a"alys$s - 6rsD

    :: "ntroduction, principles of spectrum estimation, traditional methods, autoregressive

    spectrum estimation, comparison of estimation methods, application and e&amples

    :

    @ U"$1 0 G%"%ral a") S?%($al Pur?os% )$#$1al s$#"al ?ro(%ssors > 6rsD

    :

    : "ntroduction, omputer architecture for signal processing, general purpose digital signal

    processors:

    @ T%r* 5or

  • 7/25/2019 BE E&TC Syllabus_ Wef 2015 Final

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    : No1% 8 "t is highly desirable to include minimum two e&periments on digital signal

    processors.

  • 7/25/2019 BE E&TC Syllabus_ Wef 2015 Final

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    1. E&plain the concept of "0- ,6"0- and %T7

    2. istinguish between pros and cons of "0- and 6"0- services.:

    @ S%(1$o" ; I

    :@ U"$1/- +. a") Fra*% r%lay 0

    6rsD

    : : 0witching techniques,.2#, =rame relay, .2# v;s =rame relaying, =rame mode protocol

    architecture, =rame relay and =rame switching, =rame mode call control, all control

    protocol, /", 6earer capability, /ink layer core parameters, /%4=.:

    @ U"$1/+ IS=N o3%r3$%' 0

    6rs D

    :

    : "0- "ntegration of Transmission and 0witching, %nalog and igital switching,4rinciples of "0-, Aser interface, %rchitecture, "0- standards, "*series

    recommendations. "0- services.:

    @ U"$1/9 IS=N I"1%rfa(% a") Fu"(1$o"s 8

    6rs D

    :

    @ Transmission structure, Aser network interface configurations, "0- protocol architecture,"0- connections, %ddressing, "nterworking,

    :

    :

    :

    :

    :

    :

    :

    :

    @ S%(1$o" ; II

    :@ U"$1/> B/IS=N Ar(6$1%(1ur% a") S%r3$(%s 8

    6rsD:

    @ onversational, 7essaging, @etrieval, istribution, 6usiness and @esidential requirements.

    6*"0- functional architecture, user network interface, transmission structure%T7protocol architecture, 4hysical layer, %T7 layer, %T7adaptation layer, 0

    :

    :

    21w.e.f. academic year 2015-16

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    @ U"$1/ . ATM ; O3%r3$%' 0

    6rs D

    :

    : irtual channels, irtual paths, 4 and switching, %T7 cells, >eader format, Beneric

    flow control, >eader error control, Transmission of %T7 cells, %daptation layer, %%/services and protocols, %T7 service categories, %T7 Traffic related %ttributes K

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    :

    @ T%a(6$"# S(6%*%: Theory8! >rs;?eek

    : 4ractical 82 >r;?eek

    :

    :

    @ E7a*$"a1$o" S(6%*%: Theory81++

    7arks

    : Term*?ork82#7arks

    : 0tudent will gain the ability to apply engineering tools necessary for engineeringpractice.

    :

    @ S%(1$o"/ I@ U"$1 - O3%r3$%' of R%(or)$"# .

    HrsD

    : 4rinciple of disc recording and reproduction, magnetic recording and reproduction, Typesof optical recording, HrsD

    @ "ntroduction to video systems, scanning , ideo signal, video bandwidth, omposite video

    signal for monochrome T, 06 transmission and reception C"@*6 standardsD, composite

    colour signals, T transmitter block diagrams:

    @ U"$1 9 Co*?os$1% Colour S$#"al H.HrsD

    : olour spectrum, compatibility, bandwidth, colour T signals, luminance signal,chrominance signal, recombination to natural colour voltages, interleaving process, colour

    subcarrier frequency, introduction to -T0,0E%7 and 4%/ colour T systems

    :

    @ U"$1 > Colour TV r%(%$3%rs H0 HrsD: %ntenna, @= tuner, %=T, ideo "= amplifier, video detector ,sound section, colour burst

    circuit, %B amplifier, vertical deflection system, horizontal deflection system, E>T:

    23w.e.f. academic year 2015-16

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    24/35

    :

    :

    @ U"$1 . T%l%3$s$o" Ty?%s H> HrsD:

    : "ntroduction to digital television, /, /E, >igh definition T, satellite T, cable T,@emote control, , T>

    :

    @ S%(1$o" II

    :@ U"$1 0 Fu")a*%"1als of Mul1$*%)$a Co**u"$(a1$o" 8 HrsD

    :: "ntroduction, Elements of multimedia system, -eed of multimedia, multimedia information

    representation, multimedia application8 %udio applications, ideo applications,

    interpersonal communications, interactive applications over internet, entertainmentapplications.

    :@ U"$1 : Mul1$*%)$a I"for*a1$o" R%?r%s%"1a1$o" : HrsD

    :: 7edia types, communication modes, multipoint conferencing8 centralized, decentralized and

    hybrid modes, network Ko0, basic digital principles for multimedia, -etwork types,

    multimedia networks8 telephone networks, data networks, broadband multiservice networks,:

    @ U"$1 8 Au)$o & V$)%o Co*?r%ss$o" HrsD

    :: "ntroduction to audio compression, 47 0peech, quality audio, synthesized audio,

    7"", "ntroduction to ideo compression8 6roadcast T, digital video8 !8282 format, !828+

    format, >T format, ideo compression techniques8 "ntroduction to 74EB and 6riefoverview of 74EB standards*74EB*1, 74EB*2, and 74EB*!.

    : T%r* 5or

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    ).

  • 7/25/2019 BE E&TC Syllabus_ Wef 2015 Final

    26/35

    :

    :

    :

    :

    :

    @ Sola?ur U"$3%rs$1y, Sola?ur@ BE ! El%(1ro"$(s & T%l%(o**u"$(a1$o" E"#$"%%r$"# Par1/II

    :

    @ EMBE==E= SYSTEMS:

    @ T%a(6$"# S(6%*% E7a*$"a1$o" S(6%*%

    : Theory8 +! hrs;week Theory8 1++ marks

    : 4ractical8 +2 hrs;week Term ?ork8 2# marks: istory, esign challenges, optimizing design metrics,time to market, applications of embedded systems and recent trends in embedded systems,

    embedded design concepts and definitions, memory management, hardware and software

    design and testing.:

    @ U"$1 + Sys1%* Ar(6$1%(1ur% -

    6rsD:

    : "ntroduction to %@7 core architecture, /4 21!(,%@7 e&tension family, instruction set,

    thumb instruction set, 4ipeline, memory management, 6us architecture, study of on*chipperipherals like ";< ports, timers, counters, interrupts, on*chip %, %, @T modules,

    ?T, 4//, 4?7, A06 etc.

    @

    26w.e.f. academic year 2015-16

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    27/35

    @ U"$1 9 Co**u"$(a1$o" ?ro1o(ols 0

    6rsD

    :

    @ 6rief overview of 04", 0", 004, "2, %-, A06 etc

    ::

    :

    ::

    :

    @ S%(1$o" / II

    :

    @ U"$1 > I"1%rfa($"# a") Pro#ra**$"# -

    6rsD

    :

    : 6asic embedded programs for on*chip peripherals studied in system architecture. -eed ofinterfacing, interfacing techniques, interfacing of different displays and ";< devices.

    @

    @ U"$1 . R%al T$*% O?%ra1$"# Sys1%* Co"(%?1 -

    6rsD

    :

    @ %rchitecture of kernel, task scheduler, "0@, 0emaphores, mailbo&, message queues, pipes,

    events, timers, memory management, @T

    6rsD:: ase study of embedded system like digital camera, 7obile phones, 7obile "nternet evice

    C7TD

    :

    @ T%r* 5or

    . 0teve >eath * Embedded 0ystem esign* -euwans!. =rank ahid * Embedded 0ystems * ?iley "ndia

    #. Embedded 0ystems, @a5kamal *T7>.

    $. %@7 0ystem eveloper9s Buide, esigning and

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    30/35

    @ U"$1 + Ar(6$1%(1ur%s of 5SN

    6rsD

    :

    @ 0ingle*-ode %rchitecture * >ardware omponents, Energy onsumption of 0ensor -odes ,

    Pro1o(ols a") S1a")ar)s . 6rsD

    :: 7% protocol* /ow duty cycle and wake up concepts, onnection based protocols,

    : 0chedule based protocols and The "EEE (+2.1#.! 7% protocol.

    :

    @ UNIT . A??l$(a1$o"s of RFI= $" 5SN - 6rsD

    :

    : 4hysics and Beometry of @=", 6ackscatter ommunication, %ntenna irectivity and Bain,

    esign %utomation for @=" Tags and 0ystems, @=" 4hysical /ayer esign %utomation,

    @=" ontroller esign %utomation, %pplications of @="8 "dentification and data capture,>ealth care and 7assive incidents.

    :@ UNIT 0 El%(1ro*a#"%1$( Co*?a1$b$l$1y . 6rsD

    :: %spects of E7, Electrical imensions, Anits, E7 @equirements for Electronic 0ystems,

    Bovernmental @equirements.

    @ L$s1 of E7?%r$*%"1s

    - "ntroduce students to network simulation through the -et0im simulation package.

    + 0imulate a three nodes point*to*point network with duple& links between them. 0et the queue

    size and vary the bandwidth and find the number of packets dropped.

    9 0imulate a four node point*to*point network with the links connected as follows8 n+ n2, n1 n2 and n2 n. %pply T4 agent between n+*n and A4 between n1*n. %pply relevant

    applications over T4 and A4 agents changing the parameter and determine the number of

    packets sent by T4 ; A4.

    30w.e.f. academic year 2015-16

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    > 0imulate the different types of "nternet traffic such as =T4 and TE/-ET over a network and

    analyze the throughput.

    . 0imulate the transmission of ping messages over a network topology consisting of $ nodes and

    find the number of packets dropped due to congestion.

    $. 4ractical based on @=" application.:

    @ T%71 Booolger Farl 3 %ndreas ?illig *Gohn ?iley, 2++#.

    2. "ntroduction to Electromagnetic ompatibility * layton @. 4aul, Gohn ?iley,1)(2,2nd Ed.

    . @=" >andbook8 %pplication, technology, security and privacy *0ayed %hson, 7ohhamad"lyas* @ 4ress.

    @ R%f%r%"(%s

    1. ?ireless 0ensor -etworks* Technology, 4rotocols, and %pplications * Fazem 0ohraby, aniel7inoli, 3 Taieb Nnati * Gohn ?iley, 2++'.

    2. ?ireless 0ensor -etwork esigns * %nna >ac * Gohn ?iley, 2++.

    :

    @ Sola?ur U"$3%rs$1y, Sola?ur@ BE!El%(1ro"$(s a") T%l%(o**u"$(a1$o" E"#$"%%r$"# Par1/II

    @ El%(1$3%/II

    @ PATTERN RECOGNITION

    @ Teaching Scheme:: %e&tures:4 Hrs/Week: 'ra&ti&al :2 Hr/Week

    @ Examination Scheme:: Theory:100

    Marks: Ter Work: 25 Marks

    @ Cours% Ob2%(1$3%s

    1. To give knowledge about the fundamentals of 4attern @ecognition.

    2. To brush up knowledge of 4robability 3 different parameters.

    . To introduce mathematical tools needed for 4attern @ecognition!. To introduce parametric and non*parametric techniques, unsupervised learning and

    clustering concepts of pattern recognition

    @ Cours% Ou1(o*%s:

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    32/35

    @ U"$1 - I"1ro)u(1$o"

    96rsD

    :

    : 7achine perception, 4attern @ecognition systems, esign cycle, /earning and %daptation,

    %pplications of 4attern @ecognition.:

    @ U"$1 + Probab$l$1y :

    6rsD

    :

    : 4robability of Events, @andom variables, Goint distributions and ensities, 7oments of

    @andom ariables, Estimation of parameters from samples, 7inimum @isk Estimators.:

    @ U"$1 9 S1a1$s1$(al =%($s$o" T%(6"$u%s 0

    6rsD

    :

    : 6ayesian ecision Theory ontinuous features, 7inimum Error @ate lassification,lassifiers, iscriminant =unctions and ecision 0urfaces, -ormal density, iscriminant

    =unctions for the -ormal ensity, 6ays ecision Theory iscrete =eatures.:

    @ U"$1 > Ma7$*u*/ L$

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    33/35

    : idden 7arkov 7odels for classifying sequences of four visible states.1+. Benerate points according to a Aniform distribution in a unit cube and to

    11. Benerate points from a spherical Baussian density centered on the origin.12. lassify an arbitrary test point based on the 4arzen ?indow estimates.

    1. =orm a F*nearest neighbor classifier for the * data.

    1!. "mplement Bradient escent %lgorithm.1#. omputing ma&imum likelihood values of the parameters.

    1$. "mplement k*means clustering.

    1'. "mplement the basic hierarchical %gglomerative lustering algorithm.

    :

    @ T%71 Boo<

    : O4attern lassificationJ, @.art, .B. 0tork, ?iley "ndia, 0econd Edition.@ R%f%r%"(% Boo

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    @ S1u)%"1s '$ll b% abl% 1o

    1. Anderstand mathematical aspects of 042. Fnow fundamentals of 04 4rocessor

    . evelop application programs in #!

    !. 0tudy the architecture and programming of T702+#, T702+: 4rocessors for real time applications.:

    @ Ou1(o*%s

    : %fter completion of this course, student will be able to

    1. %pply mathematical fundamentals to 04 4rocessors

    2. Ase fundamentals of 4rogrammable 04 4rocessors for different applications. ?rite %ssembly language programs for 04 4rocessors

    !. Fnowledgeable in the architecture and programming of T702+#, T702+

    4rocessors for real time applications.

    :@ SECTION I

    :@ U"$1 - Nu*%r$( Pr%s%"1a1$o" a") ar$16*%1$( >

    6rsD

    :

    : -umber formats for signals and coefficients in 04 systems, ynamic @ange and precision,0ources of Error in 04 implementations, %; conversion errors, 04 computational

    errors, ;% conversion errors.

    :@ U"$1 + Fu")a*%"1als of ?ro#ra**abl% =SPs -

    6rsD:: 7ultiplier and multiplier accumulator, modified bus structure and memory access in 4*

    04s, multiply access memory, multi*ported memory, /"? architecture, pipelining,

    special addressing modes in 4*04s, on*chip peripherals, computational accuracy in 04

    processors

    ::

    ::

    :

    :@ U"$1 9 TMS9+C. Pro(%ssors -

    6rsD

    :: %rchitecture, %ssembly /anguage 0ynta&, %ddressing 7odes %ssembly /anguage

    "nstructions* 4ipeline 0tructure,

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    :@ U"$1 > Pro#ra**abl% =$#$1al S$#"al Pro(%ssors -+

    6rsD

    :

    : ata %ddressing 7odes of T702+#! 04s, ata %ddressing 7odes ofT702+#! 4rocessors, 7emory 0pace of T702+#! 4rocessors, 4rogram

    ontrol, 0

    6rsD

    :

    @ 4ipeline operation, ode composer studio, overview of the M#!+2*6ased 0F9,"ntroduction to #! %ssembly language programming, and %pplications programs in#!.

    :@ U"$1 0 A)3a"(%) Pro(%ssors 0

    6rsD

    :

    : ode composer studio* %rchitecture of T702+$, %rchitecture of 7otorola 04#$,

    omparison of the features of 04 family processors.:

    @ T%r* 5or