1. DIGITAL SIGNAL PROCESSING
Introduction

2. Course information MATERIAL RESOURCES
INSTRUCTOR
Khalida Noori
CONSULTATION HOURS
Wednesday 11:00-01:00 hrs
BOOKS
Discrete Time Signal Processing byAlan V. Oppenheim, Ronald W. Schafer with John R. Buck, 2nd Edition, Prentice Hall
Digital Sinal Processing-A computer based approach by S.K. Mitra, Mc Graw-Hill, 1998
Digital Signal Processing – Principles, Algorithms and Applications – Third Edition by John G.Proakis and Dimitris G.Manolakis
MATERIAL RESOURCES
PRE_REQUISITS
Basic concepts in signals & systems
Frequency response of linear systems
Laplace, Z and Fourier Transforms

3. Course information(C0ntd..)
GRADING POLICES
One hour test %
Final %
Quizzes %
Assignments and Lab work %
Semester Project %

4. Discrete Time signal
Sequence x[n] as opposed to continuous time signals x(t)

5. Discrete in Nature
Population statistics
Stock market indices

6. Sampled continuos time (analog) signals
Example
Speech

7. Communication and Multimedia
Applications
Speech
Recognition, synthesis(e.g Automatic speakers)
Music
Recording, playback, mixing, storage (e.g CD player)
Image Processing
2-D filtering, enhancement, compression, pattern recognition (e.g satellite images)
Bio Medicine
Dagnosis, patient monitoring (e.g ECG analysis, X-Ray storage/enhancement)
Communication and Multimedia
filtering, detection, feature extraction, localization, tracking, identification (e.g air traffic control, military)
Radar
signal generation, transmission, modulation and compression, echo cancellation, data protection via error correcting signal coding (e.g digital modems, digital TV, mobile phones, video conferencing & internet, digital cameras)

8. Speech Processing Original speech High pass Down sample Up sample
Low pass

9. Image Processing

10. Video Processing General Concept: Object 1 Motion Analysis Object 2
Synthesis
Applications
Analysis

11. Discrete-Time System
x (n) T
y(n)
y(n)=T{x(n)}

12. Why DTSP? Discrete Time Signal Processing of Continuous Signals x (n)
C/D
DTSP
D/C
x (n)
y (n)
y(t)
x (t)

13. Digital Signal Processing (DSP) is derived from DTSP
Why DTSP?
A/D
DSP
D/A
Digital Signal Processing (DSP) is derived from DTSP
y(n)
y(n)
x(t)
x(n)

15. Discrete Time Signal

16. Where Not?

17. DSP COMPONENTS Converting analog signal into digital sequence.
Performing all signal processing operations in digital in digital form.
If necessary converting the digital information back to analog signal.
A TYPICAL DSP SCHEME
Analog Filter
ADC
DSP Processor
DAC
Analog Filter

18. WHY DSP?
Flexibility
Reproducibility
Reliability
Complexity

19. Frequency Selective Filtering

20. Echo Cancellation

21. DSP SOLUTION TO EC

22. Equalization

23. Speech Transmission

24. Image Processing

25. Image Processing

26. DSP in real time embedded systems

27. Comparison of Chips
ASIC
FPGA
DSP µP
POWE R
CONSUMP T I ON
FLEXIBILITY

28. Comparison of Chips ASIC FPGA µP/µC DSP Processor Flexibility None
Limited
High
Design Time
Long
Medium
Short
Power Consumption
Low
Low- Medium
Medium- High
Performance
Low Medium
Medium-High
Development Cost
Production Cost
Low-Medium

29. Course Outline 1
Review of discrete time signal and system; Discrete Time Fourier Transform (DTFT);z-Transform; sampling of continuous time signals 2
More about sampling: DT/digital processing of analog signal; multirate DTSP 3
Frequency domain analysis of LTI system 4
Structure for DT system: signal flow graphs, implementation and noise issues 5
Design of DT filters 6
Practical computation of DTFT: the discrete Fourier transform(DFT), computation of the DFT (FFT)

30. Course Outline

31. Course Outline DSP: A/D,D/A System Design and Implementation
Practical computation of F