Approximating the Gaussian Multiple Description Rate Region Under Symmetric Distortion Constraints
نویسندگان
چکیده
منابع مشابه
Achieving the Multiple Description Rate-Distortion Region with Lattice Quantization
We propose a multiple description coding scheme based on the quantization splitting method. This scheme is able to achieve the whole EGC region. For the Gaussian source, we show that any rate pair on the dominant face of the EGC region is achievable with three or fewer lattice quantizers.
متن کاملThe Rate { Distortion Region for Multiple
During recent years there has been strong interest in a certain source coding problem, which some authors call the \problem of multiple descriptions". Old and new wringing techniques enable us to establish a single{letter characterization of the rate{distrotion region in the case of no excess rate for the joint description. 1 The Result Since the origin of the problem of multiple descriptiona a...
متن کاملUnbalanced Multiple-Description Video Coding with Rate-Distortion Optimization
We propose to use multiple-description coding (MDC) to protect video information against packet losses and delay, while also ensuring that it can be decoded using a standard decoder. Video data are encoded into a high-resolution stream using a standard compliant encoder. In addition, a low-resolution stream is generated by duplicating the relevant information (motion vectors, headers and some o...
متن کاملOnion Peeling for CDMA- Symmetric Rate Under RMS-Bandwidth Constraints
Multiuser coding is a relatively new eld of research, whereas single-user coding is well established. For this reason there has been an interest in methods which allow the users to choose single-user codes independently of each other. This paper considers the synchronous, code-division multiple-access (CDMA) channel, where the users are root-mean-square (RMS) bandlimited. If the signature wavef...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Information Theory
سال: 2009
ISSN: 0018-9448
DOI: 10.1109/tit.2009.2023704