Now showing items 1-5 of 5
Detection of Binary Sources Over Discrete Channels with Additive Markov Noise
We consider the problem of directly transmitting a binary source with an inherent redundancy over a binary channel with additive stationary ergodic Markov noise. Out objective is to design an optimum receiver which fully ...
Optimal Detection of Discrete Markov Sources Over Discrete Memoryless Channels - Applications to Combined Sources-Channel Coding
We consider the problem of detecting a discrete Markov source which is transmitted across a discrete memoryless channel. The detection is based upon the maximum a posteriori (MAP) criterion which yields the minimum probability ...
Quantization Over Discrete Noisy Channels Using Rate-One Convolutional Codes
We consider high-rate scalar quantization of a memoryless source for transmission over a binary symmetric channel. It is assumed that, due to its suboptimality, the quantizer's output is redundant. Our aim is to make use ...
Quantization Over Discrete Noisy Channels Under Complexity Constraints
A fundamental problem in communication is the transmission of an information source across a communication channel. According to Shannon's separation principle, this problem can be separated (without loss of optimality) ...
A United Approach to Tree-Structured and Multi-Stage Vector Quantization for Noisy Channels
Vector quantization (VQ) is a powerful and effective scheme which is widely used in speech and image coding applications. Two basic problems can be associated with VQ: (i) its large encoding complexity, and (ii) its ...