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Design Of Channel Optimized Vector Quantizers In The Presence Of Channel Mismatch (2000)
| Content Provider | CiteSeerX |
|---|---|
| Author | Jafarkhani, Hamid Farvardin, Nariman |
| Abstract | We propose algorithms to design channel-optimized vector quantizers in the presence of channel mismatch. We consider two cases: (i) no information about the statistics of the channel bit error rate is available and (ii) the probability density function of the channel bit error rate is known. We also consider the use of an estimate of the channel signalto -noise ratio to improve performance. Simulation results demonstrate the advantages of new design algorithms. 1. INTRODUCTION Source coding applications which involve transmission over noisy channels have been the main motivation for studying the sensitivity of a vector quantizer (VQ) to channel noise. These studies have led to the development of techniques for making a VQ robust with respect to channel noise, either by an appropriate binary codeword assignment [1, 2] or by a complete redesign of the VQ partition and codebook, resulting in the so-called channel-optimized vector quantizer (COVQ) [3, 4]. Previous studies on the subject h... |
| File Format | |
| Volume Number | 48 |
| Journal | IEEE Trans. Commun |
| Language | English |
| Publisher Date | 2000-01-01 |
| Access Restriction | Open |
| Subject Keyword | Channel Mismatch Channel Optimized Vector Quantizers Channel Bit Error Rate Main Motivation Introduction Source Coding Application Vector Quantizer Simulation Result Previous Study Channel Signalto Noise Ratio Vq Partition Appropriate Binary Codeword Assignment Probability Density Function So-called Channel-optimized Vector Quantizer Channel-optimized Vector Quantizers Noisy Channel Complete Redesign Vq Robust New Design Algorithm |
| Content Type | Text |
| Resource Type | Article |