EE 67003: Advanced Digital Signal Processing

Date	Major topic	Keywords	Section textbook	Homework/Projects/ Handouts
Aug. 28 (T)	1. Introduction	History, analog vs. digital Digital signal processors Prerequisites: discrete time signals and systems, DFT, z-transform, frequency analysis of signals and systems	1-5
Aug. 30 (R)	2. Sampling and reconstruction of signals	Ideal (periodic) sampling, frequency domain representation of sampling, nonideal sampling, aliasing Nyquist (sampling) theorem Sampling of bandpass signals Reconstruction, sinc-interpolation Discrete-time processing of continuous-time signals Antialiasing filtering, A/D conversion, sample&hold Quantization, quantization errors D/A conversion, sample&hold A/D and D/A converter realizations	6.1-6.5
Sep. 04 (T)				Homework 1, Solution 1
Sept. 04 (R)
Sep. 6 (T)	3. Implementation of discrete-time systems	Structures for FIR systems (direct-form, cascade-form, lattice structures) Structures for IIR systems (direct-form, cascade-form, parallel-form) Coefficient quantization and round-off effects (fixed-point number representations, round-off noise, limit cycles)	9.1-9.6
Sep. 11 (R)				Homework 2
Sep. 13 (T)
Sep. 18 (R)
Sep. 20 (T)	4. Design of digital filters	Linear-phase filters FIR design: window-based design, frequency-sampling design, Chebyshev aproximation IIR design via bilinear and impulse-invariant transform	10.1-10.3	Project 1 usound110.m usound441.m projIA.mat projIB.mat
Sep. 25 (R)				equalizer.m
Sep. 27 (T)				Homework 3
Oct. 2 (R)	5. Multirate digital signal processing	Downsampling and upsampling Polyphase decomposition Nyquist-filters Sampling-rate conversion Efficient multirate filtering	11.1-11.12
Oct. 4 (T)				Homework 4
Oct. 9 (R)
Oct. 11 (T)				Homework 5
Oct. 16 (R)	midterm exam
Oct. 18 (T)	5. Multirate digital signal processing	Oversampled A/D and D/A conversion Two-channel QMF and perfect reconstruction filter banks Modulated filter banks	11.1-11.12
Nov. 6 (R)				Homework 6
Nov. 8 (Mo)				Project2 (Literature)
Nov. 13 (R)	6. Power spectrum estimation	Nonparametric (classical) methods: periodogram, Bartlett method, Welch method, Blackman-Tukey method Parametric methods: Yule-Walker method AR, MA, ARMA processes	14.1-14.3
Nov. 15 (Fr)
Nov. 20 (T)				Homework 7
Nov. 22 (R)
Nov. 27 (T)				Homework 8
Nov. 29 (T)	Project presentation seminar: Wavelet transform and applications	Group 1: Wavelets and Signal Analysis Group 2: Wavelets and Filter Banks I Group 3: Multiresolution Analysis Group 4: Wavelets and Filter Banks II Group 5: Wavelets and Image Compression
Dec. 4 (R)
Dec. 4 (Fr)
Dec. 6 (T)	6. Power spectrum estimation	MA estimation, Durbin's method	14.1-14.3
Dec. 11 (R)	Final exam