UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN
Department of Electrical and Computer Engineering

ECE410: Digital Signal Processing

Spring 2010

Instructors:

Prof. Narendra Ahuja

Prof. Andrew Singer

Email: n-ahuja at Illinois.edu

Email: acsinger at Illinois.edu

Office: 2041 Beckman Institute

Office: 110 CSL

Instructor Office hours: by appointment

Lectures:

Lecture

D

2:00 PM - 3:50 PM

Tuesday / Thursday

119 Materials Science and Eng Bldg

Lecture

G

9:30 AM - 11:20 AM

Tuesday / Thursday

119 Materials Science and Eng Bldg

* Professors Ahuja and Singer will alternate teaching both sections throughout the semester

Teaching Assistants:
The Teaching Assistants for the course are Austin Kim, Fan Lam, and Darren Pocci. The TAs will hold recitations, in which they will solve problems on the board and/or review course material, as well as office hours, during which they will answer specific questions from students. The schedule for recitations and office hours will be given out soon.

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Recitation

Office Hours

Location

TA Name

M 4:30-5:30 PM

M 5:30-6:30 PM

330M Everitt Lab

Fan Lam

W 9:00-10:00 AM

W 8:00-9:00 AM

330M Everitt Lab

Austin Kim

Tu 1:00-2:00 PM

Tu 4:00-5:00 PM

330M Everitt Lab

Darren Pocci

The TA email addresses are: ajkim5@illinois.edu, fanlam1@illinois.edu, and dpocci2@illinois.edu.

Course Information: Course Handout
Prerequisites: ECE 210 or consent of instructor
Credit: 4 hours

Integrity and honor code:

This course will operate under the following honor code:?All students are expected to do their own work and turn in their own work for credit.?Students may collaborate on homework assignments, but each student must turn in his or her own work that has been worked out independently of any other student. Looking for solutions from prior year handouts or copying of other student's work is considered cheating and will not be permitted.?By enrolling in this course and submitting homework or exams for grading, each student implicitly accepts this honor code. Each student will accurately and honestly assign grades to their own self-graded problems on their homework.

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Week

Reading

Topics

Quiz

HW Due

1

1/19,1/21

Ch 1

DSP overview; Continuous-time (CT) and discrete-time (DT) signals; Complex numbers

2

1/26,1/28

Ch 2

Fourier transform (FT); Discrete-time Fourier transform (DTFT); Discrete Fourier transform (DFT)

1

3

2/2,2/4

Ch 3

DFT spectral analysis; Applications of DT signal analysis

Q1 2/3

2

4

2/9,2/11

Ch 4

Sampling; Ideal A/D (analog-to-digital) converter

3

5

2/16,2/18

Ch 5

Linear and shift invariant systems; Convolution; Impulse response

Q2 2/17

4

6

2/23,2/25

Ch 6

z-transform; Poles and zeros; Inverse z-transform

5

7

3/2,3/4

Ch 7

Convolution via z-transform; Difference equations; System analysis; BIBO stability

Q3 3/3

6

8

3/9,3/11

Ch 8

Frequency response; DT processing of CT signals; A/D and D/A converters

7

9

3/16,3/18

Ch 9

Analog frequency response of a digital processor; Applications of DSP systems

Q4 3/17

8

10

3/23,3/25

War and Peace

Spring Break

11

3/30,4/1

Ch 10

Digital filter structures; FIR and IIR filters; Generalized linear phase

9

12

4/6,4/8

Ch 11

FIR filter design: truncation, windows, min-max, and frequency sampling

Q5 4/5

10

13

4/13,4/15

Ch 12

IIR filter design; IIR design via bilinear transformation; Applications of digital filtering

11

14

4/20,4/22

Ch 13

Downsampling and upsampling; Oversampling A/D and D/A; Digital interpolation

12

15

4/27,4/29

Ch 14

Fast Fourier transform (FFT); Fast convolution

Q6 4/26

13

16

5/4

Ch 15

Review; Applications

FINAL

EXAM