A semi-soft decision decoding algorithm based on the correspondence between error patterns and the relative test patterns for binary linear block codes over A WGN channel is presented. The proposed algorithm improves ...
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Distributed video coding is a new video coding mode, and it can shift the computational complexity from encoder to decoder. That makes it very suitable for wireless video terminals with limited computing capabilities,...
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ISBN:
(纸本)9781509050369;9781509050352
Distributed video coding is a new video coding mode, and it can shift the computational complexity from encoder to decoder. That makes it very suitable for wireless video terminals with limited computing capabilities, memory and power. This technology is rapidly developing with emerging video applications such as wireless video surveillance, wireless digital camera and mobile video telephony. This paper summarizes the distributed video codingtechnology from the theory to the application from the perspective of basic principle, coding framework, key technology and development trend. On the basis of these, this paper proposes several aspects of distributed video coding that is worthy of further study.
information is represented and processed in neural systems in various ways. The rate coding, population coding, and temporal coding are typical examples of representation. It is a hot issue in neuroscience what kinds ...
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information is represented and processed in neural systems in various ways. The rate coding, population coding, and temporal coding are typical examples of representation. It is a hot issue in neuroscience what kinds of coding is used in real neural systems. Different regions of the brain may resort to different coding strategies. Moreover, recent studies suggest the possibility of dual or multiple codes, in which different modes of information are embedded in one neural system. The present paper reviews various possibilities of neural codes focusing on dual codes. (c) 2006 Elsevier Inc. All rights reserved.
Peer to Peer information Exchange (PIE) is a technique to improve the data availability using data present within the peers in the network. Network coding (NC) which gives a set of combined data dissemination procedur...
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ISBN:
(纸本)9783642315510
Peer to Peer information Exchange (PIE) is a technique to improve the data availability using data present within the peers in the network. Network coding (NC) which gives a set of combined data dissemination procedure to improves the transmission efficiency of the network. These two techniques are merged in such a way that the PIE can be performed in much improved way. But immense problem concerned with the technique is that the performance degrades gradually with increase in the number of peers in the network. Clustering approach is proved to be more efficient for solving the scalability issues in large networks. Thus in this paper, we have presented a detailed study on the techniques like PIE, NC and clustering from the view of their requirement, merits and demerits and performance improvement on their combine usage. In this paper, we have also provided a distant view of Cooperative P2P information Exchange (cPIE) which incorporates clustering technique in the existing PIE with NC technique to eradicate its scalability and performance bottleneck issues.
The purpose of cutting-edge records compression and source coding is to shop garage space and reduce network bandwidth while transmitting statistics among clients and servers. One way to obtain that is to use compacto...
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ISBN:
(纸本)9798350383348
The purpose of cutting-edge records compression and source coding is to shop garage space and reduce network bandwidth while transmitting statistics among clients and servers. One way to obtain that is to use compactors, which can be algorithms used to reduce the scale of cutting-edge statistics by removing redundant or unrelated statistics. Numerous compacting techniques exist, making it difficult to decide which is best. In this summary, we discuss the performance effects of different compactor strategies from various studies, illustrating which compactor technique is maximum high-quality. We study the findings of modern-day textual research, function-rich surveys, and studies that examine various compactor techniques to gain knowledge latest which compactor strategies provide satisfactory performance. The effects suggest that lossless compression algorithms, which include Huffman coding and arithmetic coding, are dependable for compressing small to medium-sized facts units. Lossy algorithms, which include JPEG and MPEG, offer the best performance, however, with a better inaccuracy ratio. Furthermore, hybrid algorithms such as JPEG-LS are gaining extra interest for their ability to mix lossless and lossy strategies. Overall, each compactor method has its own blessings and downsides, and the brand-new records set and favored accuracy must be considered when deciding on a compactor method. The performance of different compactor techniques in information compression and source coding is one of the most crucial aspects of cutting-edge present-day computing. Facts compression and supply coding algorithms usually employ various compressors such as arithmetic coding, Huffman coding, LZW algorithms, dictionary-based algorithms, and more. Each compressor gives compression ratio, coding performance, and different attributes. As the quantity of state-of-the-art compressed information continues to develop, the significance of ultra-modern studying compactor performance in phr
In this paper we examine the performance of two types of Overlay networks i.e. Peer-to-Peer (P2P) & Content Delivery Network (CDN) media streaming using Multiple Description coding (MDC). In both the approaches ma...
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ISBN:
(纸本)9788132212980;9788132212997
In this paper we examine the performance of two types of Overlay networks i.e. Peer-to-Peer (P2P) & Content Delivery Network (CDN) media streaming using Multiple Description coding (MDC). In both the approaches many servers simultaneously serve one requesting client with complementary descriptions. This approach improves reliability and decreases the data rate a server has to provide. We have implemented both approaches in the ns-2 network simulator. The experimental results indicate that the performance of Multiple Description coding-based media streaming in case of P2P network is better than CDN.
As data volume keeps increasing at a rapid rate, there is an urgent need for large, reliable, and cost-effective storage systems. Erasure coding has drawn increasing attention because of its ability to ensure data rel...
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ISBN:
(纸本)9781728166773
As data volume keeps increasing at a rapid rate, there is an urgent need for large, reliable, and cost-effective storage systems. Erasure coding has drawn increasing attention because of its ability to ensure data reliability with higher storage efficiency, and it has been widely adopted in many distributed and large-scale storage systems, such as Azure cloud storage and HDFS. However, the storage efficiency of erasure code comes at the price of higher computing complexity. While many studies have shown the coding computations can be significantly accelerated using GPU, the overhead of data transfer between storage devices and GPUs become a new performance bottleneck. In this work, we designed and implemented, ECS2, a fast erasure coding library on GPU-accelerated storage to let users enhance their data protection with transparent IO performance and file system like programming interface. By taking advantage of the latest GPUDirect technology supported on Nvidia GPU, our library is able to bypass CPU and host memory copy from the IO path, so that both the computing and IO overhead from coding can be minimized. Using synthetic IO workload based on real storage system trace, we show that the IO latency can be reduced by 10% similar to 20% with GPUDirect technology, and the overall IO throughput of a storage system can be improved up to 70%.
The performance benefit of network coding in multihop wireless networks highly depends on network topology. Often, most studies on performance benefit of network coding focus on a generic grid topology, one of the mos...
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LoRaWAN is a promising IoT access technology that is growing in popularity. This study addresses the issue of duplicate packets forwarding by LoRaWAN gateways and proposes a novel forwarding scheme to eliminate forwar...
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ISBN:
(纸本)9781665467490
LoRaWAN is a promising IoT access technology that is growing in popularity. This study addresses the issue of duplicate packets forwarding by LoRaWAN gateways and proposes a novel forwarding scheme to eliminate forwarding duplicate packets by utilizing inter-flow network coding. The proposed scheme is distributed and requires no coordination between gateways. The proposed scheme is evaluated under different network and traffic conditions. The results show that substantial savings can be achieved in bandwidth leading to enhanced scalability of the network without increasing outgoing traffic.
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