Fourier Representation of Signal 
Fourier Representation of Signal
by UNSW / E. Ambikairajah
Video Lecture 4 of 12
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Views: 2,011
Date Added: July 30, 2011

Lecture Description

This video lecture, part of the series Digital Signal Processing by Prof. E. Ambikairajah, does not currently have a detailed description and video lecture title. If you have watched this lecture and know what it is about, particularly what Electrical Engineering topics are discussed, please help us by commenting on this video with your suggested description and title. Many thanks from,

- The CosmoLearning Team

Course Index

Course Description

In this course, Prof. E. Ambikairajah gives 12 video lectures on Digital Signal Processing. 

Topics that are discussed in this course are: 
- Processing and analysis of continuous (analogue) and discrete-time (digital) signals
- Sampling continuous signals: the sampling theorem, reconstruction, aliasing and the z-transform
- Analogue filters: Butterworth, Chebyshev, elliptic and Bessel filters
- Filter impulse and frequency responses, stability and digital oscillators
- The discrete Fourier transform (DFT) and the fast Fourier transform (FFT)
- Fundamentals of the design and realisation of finite impulse response (FIR) and infinite impulse response (IIR) digital filters
- Linear and non-linear phase
- Multirate processing

Original Course Name: ELEC3104 Digital Signal Processing.

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