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Visar resultat 1 - 5 av 31 avhandlingar som matchar ovanstående sökkriterier.
1. Towards Asymptotic Vector Quantization
Sammanfattning : We study topics in source coding, and vector quantization (VQ) in particular. We approach VQ from two directions: a theoretical starting point based on high rate quantization theory, and a practical based on a database desription of the signal source. LÄS MER
2. Towards Low-Complexity Vector Quantization
Sammanfattning : This thesis is about constructing low-complexity, yet high-performance, vector quantizers (VQs) for 'real-world' sources. Knowledge concerning the source is extracted from a finite training set. In contrast with conventional VQ design procedures, we use the training set to estimate a statistical model for the source. LÄS MER
3. Interframe quantization of spectrum parameters in speech coding
Sammanfattning : .... LÄS MER
4. Soft decoding vector quantization for noisy channels
Sammanfattning : .... LÄS MER
5. On Robust LPC-spectrum Coding and Vector Quantization
Sammanfattning : Digital speech coding is concerned with representing a discrete-time speech signal with as few bits per second as possible without introducing annoying artifacts in the coded speech. Many modern speech coders are based on Linear Predictive Coding (LPC) which employ a source-filter model for speech production. LÄS MER