A framework for joint source/channel coding of speech is presented. It is based on a harmonic representation of the speech signal and facilitates efficient quantization of harmonic amplitudes and phases both in a single description and a multiple description setting. Furthermore, it combines high-quality packet loss concealment with efficient source coding and multiple description coding. Two p...

We propose a novel approach to reducing energy consumption in sensor networks using a distributed adaptive signal processing framework and efficient algorithm . While the topic of energy-aware routing to alleviate energy consumption in sensor networks has received attention recently [1,2], in this paper, we propose an orthogonal approach to complement previous methods. Specifically, we propose ...

Lossy source coding under the mean-squared error fidelity criterion is considered. The rate-distortion function can be expressed in closed form only for very special cases, including Gaussian sources. The classical upper and lower bounds look exactly alike, except that the upper bound has the source power (variance) whereas the lower bound has the source entropypower. This pleasing duality of p...

We propose a novel approach to reducing energy consumption in sensor networks using a distributed adaptive signal processing framework and efficient algorithm . While the topic of energy-aware routing to alleviate energy consumption in sensor networks has received attention recently [1,2], in this paper, we propose an orthogonal approach to previous methods. Specifically, we propose a distribut...

This paper presents a distributed coding scheme for the representation of 3D scenes captured by stereo omnidirectional cameras. We consider a scenario where images captured from two different viewpoints are encoded independently, with a balanced rate distribution among the different cameras. The distributed coding is built on multiresolution representation and partitioning of the visual informa...

As a new coding paradigm, Distributed Video Coding (DVC) deals with lossy source coding using side information to exploit the statistics at the decoder to reduce computational demands at the encoder. The performance of DVC highly depends on the quality of side information. With a better side information generation method, fewer bits will be requested from the encoder and more reliable decoded f...

We show that the problem of code construction for multiple access channel (MAC) resolvability can be reduced to simpler source resolvability. Specifically, we propose a MAC relies on combination codes, used in black-box manner, and leverages randomness recycling implemented via distributed hashing block-Markov coding. Since explicit codes are known, our results also yield first coding schemes a...