Results 31 to 40 of about 183 (148)
Distributed Source Coding and Its Applications in Relaying-Based Transmission
Distributed source coding (DSC) schemes rely on separate encoding but joint decoding of statistically dependent sources, which exhibit correlation. DSC has numerous promising applications ranging from reduced-complexity handheld video communications to ...
Abdulah Jeza Aljohani +2 more
doaj +1 more source
We provide a novel achievability proof of the Slepian-Wolf theorem for i.i.d. sources over finite alphabets. We demonstrate that random codes that are linear over the real field achieve the classical Slepian-Wolf rate-region. For finite alphabets we show that typicality decoding is equivalent to solving an integer program.
Bikash Kumar Dey +2 more
openaire +2 more sources
Maximizing the lifetime of clusters with Slepian-Wolf coding [PDF]
In this paper, we propose an iteration-free algorithm to find the optimal configuration, including transmit power and source coding rates, to maximize the lifetime of a cluster utilizing Slepian-Wolf source coding of data sent to a fusion center. Exact closed form solutions are derived when the fusion center is not energy constrained.
Tianqi Wang +3 more
openaire +1 more source
Code Design for the Noisy Slepian-Wolf Problem [PDF]
We consider a noisy Slepian-Wolf problem where two correlated sources are separately encoded (using codes of fixed rate) and transmitted over two independent binary memoryless symmetric channels. The capacity of each channel is characterized by a single parameter which is not known at the transmitter.
Arvind Yedla +2 more
openaire +2 more sources
Minimum Cost Data Aggregation for Wireless Sensor Networks Computing Functions of Sensed Data
We consider a problem of minimum cost (energy) data aggregation in wireless sensor networks computing certain functions of sensed data. We use in‐network aggregation such that data can be combined at the intermediate nodes en route to the sink. We consider two types of functions: firstly the summation‐type which includes sum, mean, and weighted sum ...
Chao Chen +4 more
wiley +1 more source
Neural Rate-Adaptive LDPC Decoding for the Slepian-Wolf Problem
Distributed source coding (DSC) enables efficient compression of correlated sources by performing independent encoding and joint decoding. Slepian-Wolf coding plays a central role in DSC, as it allows near-lossless compression of correlated data at rates
Brent De Weerdt, Nikos Deligiannis
doaj +1 more source
BEST FIT MODELS TEST FOR THE VIRTUAL CHANNEL IN DISTRIBUTED VIDEO CODING [PDF]
Wyner-Ziv (WZ) video coding – a particular case of distributed video coding (DVC) – is a new video coding paradigm based on two major Information Theory results: the Slepian-Wolf and Wyner-Ziv theorems.
A. ELAMIN, VARUN JEOTI, SAMIR BELHOUARI
doaj
Energy efficiency in wireless sensor network (WSN) is one of the primary performance parameters. For improving the energy efficiency of WSN, we introduce distributed source coding (DSC) and virtual multiple‐input multiple‐output (MIMO) into wireless sensor network and then propose a new data transmission scheme called DSC‐MIMO.
Na Li +3 more
wiley +1 more source
TRANSFORM DOMAIN SLICE BASED DISTRIBUTED VIDEO CODING [PDF]
Distributed video coding depends heavily on the virtual channel model. Due to the limitations of the side information estimation one stationary model does not properly describe the virtual channel. In this work the correlation noise is modelled per slice
SAMIR BELHOUARI, VARUN JEOTI, A. ELAMIN
doaj
Multiband CCD Image Compression for Space Camera with Large Field of View
Space multiband CCD camera compression encoder requires low‐complexity, high‐robustness, and high‐performance because of its captured images information being very precious and also because it is usually working on the satellite where the resources, such as power, memory, and processing capacity, are limited.
Jin Li +4 more
wiley +1 more source

