COSC4452.3 Digital Signal Processing: Theory and Applications

(Winter 2009)

Instructor:   Prof. Hui Jiang

Time:           MW13:00-14:30

Place: SC218

Announcements: (refresh your browser)

• May 6: Project 2 is posted here, the due date is June 1^st by emails. All files you need for project2: speech1.wav, speech2.wav, speech3.wav.
• May 4: FFT C program is posted here. Lecture notes for week nine also posted here.
• Apr 29: Lecture notes for week eight posted, check here. One make-up class has been scheduled on May 8^th (Friday) from 12:30-14:30 at CSEB2002.
• Apr 27: Lecture notes for week seven posted, check here.
• Apr 16: Classes on April 20 and 22 are cancelled since the instructor is away for a conference. Make-up classes will be scheduled. Our next class is on April 27^th. The class evaluation for this course has been scheduled on May 6^th (Wednesday), 2009.
• Apr 15: Lecture notes for week six posted, check here
• Apr 6: Lecture notes for week five posted, check here.
• Mar 30: Lecture notes for week four posted, check here.
• Mar 30: Project 1 is posted here, the due date is April 27^th. All files you need for project1: music1.wav, music2.wav, raw2wav (raw2wav.c).
• Mar 30: Midterm exam is scheduled in class on Apr. 13^th. Our first lab is scheduled from 1:00-2:30pm on Apr 9^th, location is in the ISMP lab (CSB3057).
• Mar 23: Assignment has been posted, check here, which is due on April 6^th.
• Mar 18: Lecture notes for week three posted, check here.
• Mar 9: Lecture notes for week two posted, check here.
• Mar 3: Lecture notes for week one posted, check here.
• Mar 2: class starts from Mar 4^th! See you all then.

Course Summary:

This course introduces the basic theory about digital signal processing (DSP), including digital signals and systems, the framework to process signals digitally, digital filter design, DFT/FFT, signal processing with DFT/FFT and etc. The course also introduces some selected application topics about DSP, which may cover speech and audio processing, image and video processing, programming for embedded DSP systems, and so on.  The prerequisite is CSE3451 (Signals and Systems).

The required textbook:

[1]  A. V. Oppenheim, R. W. Schafer and J. R. Buck, Discrete-time Signal Processing, Prentice Hall, ISBN 0-13-754920-2

Other reference materials:

Evaluation:    

   (1) ( 5%) One assignment

(2) (30%) Projects (two and 15% each): algorithms and applications

   (3) (30%) Midterm (30%)

(4) (35%) Final (40%)

Course Outline (subject to change)

	Content	Lecture Notes
Week 1	Reviews of Signals and Systems: Signals; Systems; Convolution; Fourier Transform; z-Transform	check here
Week 2	Analysis of LTI systems: Filtering; linear difference equation; Frequency response of LTI systems; system functions of LTI system Basic structure of digital systems: IIR and FIR	Check here
Week 3	Digital Processing of signals: sampling; quantization; process signals digitally; down-sampling and up-sampling	Check here
Week 4	FIR Filter Design: Windowing; FIR design by windowing	Check here
Week 5	IIR Filter Design: continuous-time (CT) filters; IIR design from CT filters Filter design with Matlab	Check here
Week 6	Application I : Anti-aliasing filter design for downsampling of music signals from 44.1K to 8K DSP processors and programming: Embedded DSP applications; TI DSP chip series; floating-point vs. fixed-point code Filter Bank: polyphase quadrature filter bank (optional)	Check here
	Midterm
Week 7	Discrete Fourier Transform (DFT): discrete Fourier series; sampling Fourier transform;  DFT; circular convolution	Check here
Week 8	Fast Fourier Transform (FFT): radix-2 decimation-in-time FFT algorithm; fast convolution using FFT	Check here
Week 9	Fourier Analysis of Signals based on DFT: time-dependent DFT; block convolution; overlap-adding; speech processing Application II: Speech Enhancement or 3-D Spatial Audio	Check here
Week 10 (optional)	Other Discrete Transforms:  DCT and modified DCT Application III: Digital Audio Coding perceptual audio coding; MPEG audio coding standard; MP3 in depth
Week 11	Reviews for the final