13
EEL 3135 EEL 3135 (Section 1471X) (Section 1471X) Discrete Discrete - - Time Signals and Systems Time Signals and Systems Lecture 9 Lecture 9 Prof. Jian Li Dept. of Electrical and Computer Engineering University of Florida, Gainesville, FL 32611 Office: 437 EB Phone: 352-392-2642 Email: [email protected]

(Section 1471X) Discrete Time Signals and Systems · EEL 3135 (Section 1471X) Discrete-Time Signals and Systems. Lecture 9. Prof. Jian Li. Dept. of Electrical and Computer Engineering

  • Upload
    others

  • View
    46

  • Download
    0

Embed Size (px)

Citation preview

EEL 3135EEL 3135(Section 1471X)(Section 1471X)

DiscreteDiscrete--Time Signals and SystemsTime Signals and Systems

Lecture 9Lecture 9

Prof. Jian Li

Dept. of Electrical and Computer EngineeringUniversity of Florida,Gainesville, FL 32611

Office: 437 EBPhone: 352-392-2642 Email: [email protected]

Dept. of ECE 2

Topics

DFT

FFT

Spectrogram

Dept. of ECE 3

DTFT ReviewDTFT Review

Fourier Synthesis (Inverse Fourier Transform)

Fourier Analysis (Fourier Transform)

Periodicity

Discrete Signal Periodic Spectra

Dept. of ECE 4

Discrete Fourier Transform (DFT)Discrete Fourier Transform (DFT)

Periodic Discrete Signal Discrete Periodic Spectra

Sampling will make x[n] periodic!

N-Point DFT Pair

Synthesis

Analysis

Dept. of ECE 5

DFT ExampleDFT Example

DTFT

8-point DFT

16-point DFT

32-point DFT

Dept. of ECE 6

MATLAB for DFTMATLAB for DFT

Number of frequency samples

XX = XX = fftfft((xxxx, N);, N);

Input sequence of length L < N

---- xx xx first zerofirst zero--padded to length Npadded to length N---- NN--pointpoint DFT is next computedDFT is next computed---- FFT is a fast way of computing DFTFFT is a fast way of computing DFT

Dept. of ECE 7

FFTFFT

Computations ofComputations ofDFT ( )DFT ( )vs. FFTvs. FFT( ( ))

N = # of PointsN = # of PointsN = Power of 2N = Power of 2

Dept. of ECE 8

Spectrum AnalysisSpectrum Analysis

Frequency content Frequency content of a signal is often a of a signal is often a function of timefunction of time

Not very informative

Dept. of ECE 9

SpectrogramSpectrogram

--ShortShort--time time (windowed)(windowed)Fourier Fourier transformtransform

Dept. of ECE 10

Spectrogram ExampleSpectrogram Example

--Frequency vs. time Frequency vs. time --GrayGray--level for level for intensityintensity

Dept. of ECE 11

Resolution in SpectrogramResolution in Spectrogram

OriginalResolution in time Resolution in time and frequency and frequency always in conflictalways in conflict

Good freq resolution

Good time resolution

Dept. of ECE 12

AssignmentsAssignments

Finish Lectures 1 – 8 Assignments

Read Chapter 9 as much as possible

Play with demos etc. on your CD

Enjoy your new knowledge on signals and systems

Apply your new knowledge

Update me with your achievements in life!

Dept. of ECE 13

THANK YOU

And

Happy Learning!!