Searching for authors named "Michelle Effros" – sorted by Relevance.
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Fast Weighted Universal Transform Coding: Toward Optimal, Low Complexity Bases for Image Compression
- In [1], Effros and Chou introduce a two-stage universal transform code called the weighted universal transform code (WUTC). By replacing JPEG's single, non-optimal transform code with a collection of optimal transform codes, the WUTC achieves significant performance gains over JPEG. The computationa
- Cited by 3 (1 self) – Add To MetaCart
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Practical Multi-Resolution Source Coding: TSVQ Revisited
- 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
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Rate-Distortion Bounds for Fixed- and Variable-Rate Multi-Resolution Source Codes
- The source coding theorem for stationary sources describes the optimal performance theoretically achievable by fixed- and variable-rate block quantizers. We here generalize the source coding theorem by considering the problem of multi-resolution or successive refinement source coding. In particular,
- Cited by 1 (1 self) – Add To MetaCart
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Capacity definitions of general channels with receiver side information
- 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
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Zerotree Design for Image Compression: Toward Weighted Universal Zerotree Coding
- 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
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The Capacity Region of Gaussian Broadcast Channels with Intersymbol Interference
- 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
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Iterative Joint Design of Source Codes and Multiresolution Channel Codes
- 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
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Network Source Coding
- 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
- 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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Weighted Universal Transform Coding: Universal Image Compression With The Karhunen-Loève Transform
- We introduce a two-stage universal transform code for image compression. The code combines KarhunenLo `eve transform coding with weighted universal bit allocation (WUBA) [1] in a two-stage algorithm analogous to the algorithm for weighted universal vector quantization (WUVQ) [2, 3]. The encoder uses
- Cited by 15 (3 self) – Add To MetaCart

