This paper presents an approach to vector quantization of sources exhibiting intervector dependency. We present the optimal decoder based on a collection of received indices. We also present the optimal encoder for such decoding. The optimal decoder can be implemented as a table look-up decoder, however the size of the decoder codebook grows very fast with the size of the collection of utilized...

Low Density Parity Check (LDPC) codes have become very popular now-a-days because of their shannon limit approaching error correcting capability and hence have been used in many applications. This paper demonstrates a flexible Low Density Parity Check (LDPC) decoder which is an improve ment over other existing work on a general LDPC decoder. In this paper we have presented a fully flexible LDPC...

A major hurdle to clinical translation of brain–machine interfaces (BMIs) is that current decoders, which are trained from a small quantity of recent data, become ineffective when neural recording conditions subsequently change. We tested whether a decoder could be made more robust to future neural variability by training it to handle a variety of recording conditions sampled from months of pre...

In the wireless data communication the signals present in the transmission environment interfere with the communicating signals causing an undesired signal reception. This may further cause processing of wrong data. So the transmission error sensitive communication systems are always in need of an efficient encoder and decoder hardware interface that are capable of error detection and correctio...

In recent years, LDPC codes are gaining a lot of attention among researchers. Its near-Shannon performance combined with its highly parallel architecture and lesser complexitycompared to Turbo-codes has made LDPC codes one of the most popular forward errorcorrection (FEC) codes in most of the recently ratified wireless communication standards.This thesis focuses on one of these ...

The performance of brain-machine interfaces (BMIs) that continuously control upper limb neuroprostheses may benefit from distinguishing periods of posture and movement so as to prevent inappropriate movement of the prosthesis. Few studies, however, have investigated how decoding behavioral states and detecting the transitions between posture and movement could be used autonomously to trigger a ...