Quantized Frame Expansions as Source-Channel Codes for Erasure Channels

نویسندگان

  • Vivek K. Goyal
  • Jelena Kovacevic
  • Martin Vetterli
چکیده

Quantized frame expansions are proposed as a method for generalized multiple description coding where each quantized coe cient is a description Whereas previous investigations have revealed the robustness of frame expansions to additive noise and quantization this represents a new application of frame expansions The performance of a system based on quantized frame expansions is compared to that of a system with a conventional block channel code The new system performs well when the number of lost descriptions erasures on an erasure channel is hard to predict

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Characterization of a Class of Error Correcting Frames for Robust Signal Transmission over Wireless Communication Channels

Joint source-channel coding has been introduced recently as an element of QoS support for IP-based wired and wireless multimedia. Indeed, QoS provisioning in a global mobility context with highly varying channel characteristics is all the most challenging and requires a loosening of the layer and source-channel separation principle. Overcomplete frame expansions have been introduced as joint so...

متن کامل

Turbo Decoding of Multiple Descriptions with Quantized Frame Expansions

We address the joint use of a heterogeneous source of redundancy in a coding chain: multiple description coding and channel coding where the redundancy on the source symbols and on the transmitted bits are generated by quantized frame expansions and convolutional coding, respectively. The received signal is viewed as the noisy output of a serial concatenated coding system, and a turbo-type deco...

متن کامل

Frame Expansions Quantized with Permutation Codes

Quantized frame expansions are overcomplete representations of signals approximated by some quantizer. This scheme proved to be a very useful tool to combat quantization noise and erasures. Normally, a scalar quantizer is used in the quantization phase. In this paper we investigate the use of permutation codes, a beautiful source coding technique, as a quantizer. We explore consistent reconstru...

متن کامل

Joint Source-Channel Coding by Means of an Oversampled Filter Bank Code

Quantized frame expansions based on block transforms and oversampled filter banks (OFBs) have been considered recently as joint source-channel codes (JSCCs) for erasure and error-resilient signal transmission over noisy channels. In this paper, we consider a coding chain involving an OFB-based signal decomposition followed by scalar quantization and a variable-length code (VLC) or a fixed-lengt...

متن کامل

Joint Source and Channel Coding for Image Transmission Over LossyPacket

We describe a joint source/channel allocation scheme for transmitting images lossily over block erasure channels such as the Internet. The goal is to reduce image transmission latency. Our subband-level and bitplane-level optimization procedures give rise to an embedded channel coding strategy. Source and channel coding bits are allocated in order to minimize an expected distortion measure. Mor...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1999