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Searching for authors named "Michelle Effros" – sorted by Relevance.

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  • Practical Multi-Resolution Source Coding: TSVQ Revisited  
  • by Michelle Effros — 1998 — In Proceedings of the Data Compression Conference, pages 53--62, Snowbird, UT
  • …Consider a multi-resolution source code for describing a stationary source at L resolutions. The description at the first resolution is given at rate R 1 and achieves an expected distortion no greater than D 1 . The description at the second resolution includes both the first description and a refin…
  • Cited by 4 (1 self)Add To MetaCart
  • Capacity definitions of general channels with receiver side information  
  • by Michelle Effros — 2007 — in Proceedings of International Symposium on Information Theory
  • …Abstract — We consider three capacity definitions for general channels with channel side information at the receiver, where the channel is modeled as a sequence of finite dimensional conditional distributions not necessarily stationary, ergodic, or information stable. The Shannon capacity is the hig…
  • Cited by 3 (2 self)Add To MetaCart
  • Zerotree Design for Image Compression: Toward Weighted Universal Zerotree Coding  
  • by Michelle Effros — 1997 — IEEE Intl. Conf. on Image Processing
  • …We consider the problem of optimal, datadependent zerotree design for use in weighted universal zerotree codes for image compression. A weighted universal zerotree code (WUZC) is a data compression system that replaces the single, data-independent zerotree of Said and Pearlman with an optimal collec…
  • Cited by 5 (0 self)Add To MetaCart
  • The Capacity Region of Gaussian Broadcast Channels with Intersymbol Interference  
  • by Andrea Goldsmith, Michelle Effros — 2001 — IEEE Trans. Inf. Th
  • …We derive the two-user capacity region with and without common information for a Gaussian broadcast channel with intersymbol interference, assuming colored Gaussian noise and an input power constraint. The proof is achieved by first defining a similar channel model, the circular broadcast channel, w…
  • Cited by 1 (1 self)Add To MetaCart
  • Iterative Joint Design of Source Codes and Multiresolution Channel Codes  
  • by Andrea Goldsmith, Michelle Effros — 1998 — IEEE Trans. Commun
  • …We propose an iterative design algorithm for jointly optimizing source and channel codes. The joint design combines channel-optimized vector quantization (COVQ) for the source code with rate-compatible punctured convolutional (RCPC) coding for the channel code. Our objective is to minimize the avera…
  • Cited by 1 (0 self)Add To MetaCart
  • Network Source Coding  
  • by Michael Fleming, Qian Zhao, Michelle Effros — 2004 — IEEE Trans. Inform. Theory
  • … We present an algorithm for designing locally optimal vector quantizers for general networks. We discuss the algorithm’s implementation and compare the performance of the resulting “network vector quantizers” to traditional vector quantizers (VQs) and to rate-distortion (R-D) bounds where available…
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  • Joint Design of Fixed-Rate Source Codes and UEP Channel Codes for Fading Channels  
  • by Hai-Xin Tie, Andrea Goldsmith, Michelle Effros
  • …We study an iterative design algorithm that jointly optimizes source and channel codes for image transmission over Rayleigh fading channels. The joint design combines channel-optimized vector quantization (COVQ) for the source code with a family of rate-compatible punctured convolutional (RCPC) code…
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