Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/39093
Title: Warped discrete fourier transform and it's application on image compression
Authors: Hosahalli Siddaiah Manjunath.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems
Issue Date: 2006
Abstract: Digital Transforms in Digital Signal Processing play an important role in analysis and design of discrete-time signals and systems. The popular transforms in today's use are Discrete Fourier Transform (DFT), Discrete Cosine Transform (DCT), and Karhunen Loeve Transform (KLT). We extended the DFT concept to Warped DFT (WDFT), which is nothing but the non-uniform sampling of z-transform on the unit circle. In this thesis we discussed forward WDFT, inverse WDFT and its computing methods for less reconstruction error, and developed a lossy image compression algorithm using adaptive WDFT transforms.
Description: 52 p.
URI: http://hdl.handle.net/10356/39093
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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