LecNote1

Embed Size (px)

Citation preview

  • 7/31/2019 LecNote1

    1/3

    EEE 226: Signals and Systems

    Lecture Notes # 1

    Dr. Aykut Hocann

    Department of Electrical and Electronics Engineering

    Eastern Mediterranean University

    March 11, 2002

    Chapter 1 of the textbook.

    1 Continuous and Discrete-Time Signals

    Signals are represented mathematically as functions of one or more inde-pendent variables. In this course, we will consider signals of one indepen-dent variable.

    Continuous-Time (CT) signals are defined for a continuous independentvariable. Discrete-Time (DT) signals are defined at discrete times.

    Examples of CT: speech signal, atmospheric pressure. Examples of DT:weekly stock market index, number of goals scored in one season.

    2 Signal Energy and Power

    The instantaneous power for given instantaneous voltage v(t) and current i(t)across a resistor R is given by

    p(t) = v(t)i(t) =1

    Rv2(t). (1)

    The total energy expended over the time interval t1 t t2 is

    t2

    t1

    p(t)dt =

    t2

    t1

    1R

    v2(t)dt. (2)

    The average power over the time interval is

    1

    t2 t1

    t2

    t1

    p(t)dt =1

    t2 t1

    t2

    t1

    1

    Rv2(t)dt. (3)

    For complex CT signals which are also defined over t1 t t2 is

    t2

    t1

    |x(t)|2dt (4)

    1

  • 7/31/2019 LecNote1

    2/3

    EEE 226 Signals and Systems Dr. Aykut Hocann 2

    and similarly for DT signals defined over n1 n n2

    n=n2

    n=n1 |x[n]|

    2

    (5)

    When we consider average energy over the infinite time interval, i.e., for t + and n + the E is given by for CT:

    E = limT

    T

    T

    |x(t)|2dt (6)

    and for DT:

    E = limN

    NN

    |x[n]]|2 (7)

    The average Power over infinite time P are as follows:

    P = limT

    1

    2T

    T

    T

    |x(t)|2dt (8)

    and for DT:

    E = limN

    1

    2N + 1

    NN

    |x[n]]|2 (9)

    It is important to note that finite total energy signals E < must have zeroaverage power P = 0 since

    P = limT

    E

    2T = 0. (10)

    Similarly, if a signal has a nonzero finite average power P then the signal musthave infinite total energy E = .

    3 Transformations of the Independent Variable

    Given x(t + ), depending on the values of and we have

    time shift

    time reversal

    time scaling

    We will investigate x(t + ) given x(t) for different values of and .

    if || < 1, then linearly stretched signal

    if || > 1, then linearly compressed signal

    if < 0, then reversed in time

    if > 0, then time advance (the signal shifts left)

  • 7/31/2019 LecNote1

    3/3

    EEE 226 Signals and Systems Dr. Aykut Hocann 3

    if < 0, then time delay (the signal shifts right)

    An easy way to find the signal as a result of the transformation of the indepen-

    dent variable, is to transform each point of the original signal:

    t + = t =

    (11)

    As it can be seen from the previous equation, it is important to shift first andthen compress/stretch.