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About Digital Signal Processing Lecture Notes - 22nov2010 - v4
The document summarizes key topics in digital signal processing including the discrete cosine transform, fast Fourier transform, and linear and circular convolution. 1) The discrete cosine transform is widely used for audio and image compression. It is based on the discrete Fourier transform but is real-valued due to imposed even symmetry. Its basis functions model differences between the beginning and end of a finite sequence better than the discrete Fourier transform. 2) The fast Fourier transform efficiently computes the discrete Fourier transform when N is a power of 2 by factorizing it into stages involving smaller transforms, reducing operations from N^2 to NlogN. 3) Linear convolution in time domain corresponds to multiplication in frequency domain. The discrete Fourier transform computes
Detailed Information
| Author: | ['Thiagu Rajiv'] |
|---|---|
| Publication Year: | 2014 |
| Pages: | 11 |
| Language: | English |
| Format: | |
| Price: | FREE |
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