EE123: Digital Signal Processing (Spring 2015, UC Berkeley) | Electronics and Electrical Engineering

EE123 - Digital Signal Processing

EE123: Digital Signal Processing (Spring 2015, UC Berkeley). Instructor: Professor Shimon Michael Lustig. Digital Signal Processing - Discrete time signals and systems: Fourier and Z transforms, DFT, 2-dimensional versions. Digital signal processing topics: flow graphs, realizations, FFT, chirp-Z algorithms, Hilbert transform relations, quantization effects, linear prediction. Digital filter design methods: windowing, frequency sampling, S-to-Z methods, frequency-transformation methods, optimization methods, 2-dimensional filter design.

Introduction

Lecture 01 - Introduction

Lecture 02 - Discrete Time Systems

Lecture 03 - Discrete-time Fourier Transform

Lecture 04 - Discrete-time Fourier Transform (cont.), z-Transform

Lecture 05 - Discrete Fourier Transform

Lecture 06 - Properties of Discrete Fourier Transform

Lecture 07 - Block Convolution, Overlap and Add, Fast Fourier Transform

Lecture 08 - Spectral Analysis

Lecture 09 - Spectral Analysis using DFT

Lecture 10 - Time-Dependent Fourier Transform

Lecture 11 - Time-Frequency, Lab I & II

Lecture 12 - Introduction to Wavelets

Lecture 13 - Discrete-Time Wavelets

Lecture 14 - Sampling

Lecture 15 - Sampling (cont.)

Lecture 16 - Resampling

Lecture 17 - Lab III and Polyphase Filters

Lecture 18 - Filter Banks

Lecture 19 - Practical DAC/ADC

Lecture 20 - 2D Signals and 2D Fourier Transform

Lecture 21 - Tomography

Lecture 22 - Lab 4: Frequency Calibration using GSM Compressed Sensing

Lecture 23 - Compressed Sensing

Lecture 24 - Compressed Sensing (cont.)

Lecture 25 - Filter Design: FIR Filter Design

Lecture 26 - Optimal Filter Design (No Audio for first 18 minutes)

Lecture 27 - Transform Analysis of LTI Systems

Lecture 28 - Phase Response of LTI systems

Lecture 29 - Phase Response: All-Pass and Minimum Phase

Lecture 30 - Lab 6 and Generalized Linear Phase

Lecture 31 - Generalized Linear Phase Systems

Lecture 32 - Lab 6B

Lecture 33 - Node-Pore Sensing

Lecture 34 - How Signal Processing Changes Optical Imaging

Lecture 35 - Review

Lecture 36 - Hacking the Wireless World with Software Defined Radioes

References

EE123: Digital Signal Processing, Spring 2015
Instructor: Professor Michael Lustig. Lecture Notes. Resources. Homework. Labs. Text: Discrete Time Signal Processing, by A.V. Oppenheim and R.W. Schafer, Prentice Hall, Third Edition.