EE123: Digital Signal Processing (Spring 2015, UC Berkeley): Lecture 10

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.

Lecture 10 - Time-Dependent Fourier Transform

Go to the Course Home or watch other lectures:

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