Quantization for Noisy Channels Using Structured Codes by Andr as M Ehes

@inproceedings{Zeger1993QuantizationFN,
  title={Quantization for Noisy Channels Using Structured Codes by Andr as M Ehes},
  author={Kenneth Zeger and Ken Zeger and Thomas S. Huang and P. Ranjeet Kumar and Sean Meyn and Dilip V. Sarwate and Alexander Vardy},
  year={1993}
}
Lossy source coding, or quantization, is a data compression technique used in many practical voice and image coding systems. The increasing demand to transmit large amounts of data with very small delay over bandwidth-limited communication channels calls for eecient and error-resilient solutions for source and channel coding. In this dis-sertation, structured codes are studied with the aim of reducing complexity but retaining performance. In particular, structured classes of source codes… CONTINUE READING