Sökning: "channel quantization design"
Visar resultat 1 - 5 av 17 avhandlingar innehållade orden channel quantization design.
1. Source and Channel Coding for Audiovisual Communication Systems
Sammanfattning : Topics in source and channel coding for audiovisual communication systems are studied. The goal of source coding is to represent a source with the lowest possible rate to achieve a particular distortion, or with the lowest possible distortion at a given rate. Channel coding adds redundancy to quantized source information to recover channel errors. LÄS MER
2. Source and Channel Coding for Compressed Sensing and Control
Sammanfattning : Rapid advances in sensor technologies have fueled massive torrents of data streaming across networks. Such large volume of information, indeed, restricts the operational performance of data processing, causing inefficiency in sensing, computation, communication and control. LÄS MER
3. On Soft Decoding and Robust Vector Quantization
Sammanfattning : This thesis considers vector quantization for noisy channels. Vector quantization (VQ) is an important technique for block-based source coding, with applications in, e.g., speech and image coding. LÄS MER
4. Voronoi-Based Coding
Sammanfattning : The performance of a digital communication system can generally be improved by increasing the number of variables being jointly coded. In this sense, it is desirable to have, e.g., higher-dimensional quantizers, longer channel codes, and more users in a multiple-access system. 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