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检索条件"主题词=Compression algorithms"

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Stream-oriented Lossless Packet compression in Wireless Sensor Networks

Stream-oriented Lossless Packet Compression in Wireless Sens...

引用

IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks (SECON)

作者： Andreas Reinhardt Matthias Hollick Ralf Steinmetz Multimedia Communications Laboratory Technische Universität Darmstadt Darmstadt Germany

In wireless sensor networks, the energy consumption of participating nodes has crucial impact on the resulting network lifetime. Data compression is a viable approach towards preserving energy by reducing packet sizes and thus minimizing the activity periods of the radio transceiver. In this paper, we propose a compression framework utilizing a stream-oriented compression scheme for sensor networks. It is specifically tailored to the capabilities of employed nodes and network traffic characteristics, which we determine in a characterization of WSN traffic patterns. To mitigate the inapplicability of traditional compression approaches, we present the squeeze KOM compression layer. By shifting data compression into a dedicated layer, only minor modifications to applications are required, while efficient data transfer between nodes is provided. As a proof-of-concept, we implement a stream-based compression algorithm on sensor nodes and perform an experimental analysis to determine the potential gains under realistic traffic conditions. Results indicate that our presented lossless stream-oriented payload compression leads to considerable savings.

关键词： Wireless sensor networks Data compression Telecommunication traffic Energy consumption Radio transceivers Sensor phenomena and characterization compression algorithms Performance analysis Algorithm design and analysis Performance gain

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A rate-controllable near-lossless data compression IP for HDTV decoder LSI in 65nm CMOS

A rate-controllable near-lossless data compression IP for HD...

引用

IEEE Asian Conference on Solid-State Circuits (ASSCC)

作者： Masato Uchiyama Kohei Oikawa Naoto Date Shinichiro Koto Center for Semiconductor Research & Development Toshiba Semiconductor Company Limited Kawasaki Japan Corporate Research & Development Center Toshiba Corporation Kawasaki Japan

We propose a rate-controllable near-lossless embedded compression algorithm "TLS-1". The algorithm guarantees a selected compression ratio with the smart combination of variable length coding and fixed length coding. It achieves near-lossless image quality under CR = 2. We apply the algorithm to an IP in an HDTV decoder LSI in order to reduce the required external memory capacity and its bandwidth. The LSI is fabricated in a 65 nm CMOS technology.

关键词： Data compression HDTV Decoding Large scale integration CMOS technology compression algorithms Image coding Image quality Chromium Bandwidth

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Dynamic Dictionary Design for SIP Signaling compression

Dynamic Dictionary Design for SIP Signaling Compression

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Computer Science and Information Engineering, CSIE, WRI World Congress on FLAGGED

作者： Weihai Li Yan Ma Qing Ma Xiaohong Huang Beijing University of Posts and Telecommunications Beijing Beijing CN School of Electronic Engineering Beijing University of Posts and Telecommunications Beijing China Beijing University of Posts and Telecommunications Beijing China

A new SIP signaling compression solution based on structured dynamic dictionary is proposed in this paper. A SIP compression mechanism based on dynamic-dictionary is designed for improving SIP signaling compression combined with LZSS algorithm. The new mechanism reduces the time complexity of compression algorithm and makes the use of memory more effective.

关键词： Dictionaries Signal design Protocols compression algorithms Design engineering Laboratories Algorithm design and analysis Computer science Telecommunication switching Intelligent networks

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Passive event-based extrapolation for lossy haptic data compression in bilateral presence systems

Passive event-based extrapolation for lossy haptic data comp...

引用

IEEE International Conference on Robotics and Automation (ICRA)

作者： Philipp Kremer Martin Kuschel Carsten Preusche Martin Buss Gerd Hirzinger Institute of Robotics and Mechatronics German Aerospace Center Wessling Germany Institute of Automatic Control Engineering Technische Universität München Germany

A new lossy compression method is proposed for haptic (force, velocity) data as exchanged in bilateral telepresence systems. The method is based on the passive extrapolative compression strategy proposed in the work of Kuschel et al. (2006). The innovation is that the extrapolations do not have a stiff horizon, but are triggered by considerable changes (events) in the target environment. This enables longer average extrapolation horizons and thus, higher compression. Experiments are conducted using two DLR light weight robots. The results indicate that the method outperforms older implementations.

关键词： Extrapolation Haptic interfaces Data compression Humans Communication system control Control systems Robotics and automation compression algorithms Virtual reality Avatars

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compression of neural signals using discriminative coding for wireless applications

Compression of neural signals using discriminative coding fo...

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International IEEE/EMBS Conference on Neural Engineering, CNE

作者： Stefan Craciun David Cheney Karl Gugel Justin C. Sanchez Jose C. Principe Department of Electrical and Computer Engineering University of Florida Gainesville FL USA Department of Pediatrics Division of Neurology University of Florida Gainesville FL USA

One of the most critical tasks when designing a portable wireless neural recording system is to limit power consumption. This paper proposes a new compression technique applied to neuronal recordings in real-time. The signal is compressed before transmission using a discriminative vector quantization algorithm and then it is reconstructed on the receiver side. Results show that power consumption is decreased while more efficiently using the limited bandwidth. A discriminative Linde-Buzo-Gray algorithm (DLBG) preserves action potential regions of the neuronal signal where information is contained while efficiently filtering background activity. The compression algorithm has been tested in real time on a hardware platform (PICO DSP [3]) that has a Digital Signal Processor (DSP) which performs the algorithm before sending the compressed data to a wireless transmitter. The compression ratios obtained range between 20:1 and 70:1 depending on the embedding size of the signal and the number of code-vectors used.

关键词： Signal processing algorithms Energy consumption Digital signal processing Vector quantization Bandwidth Filtering algorithms Information filtering Information filters compression algorithms Testing

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Optimal Transform of Multichannel Evoked Neural Signals Using a Video compression Algorithm

Optimal Transform of Multichannel Evoked Neural Signals Usin...

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International Conference on Bioinformatics and Biomedical Engineering (ICBBE)

作者： Chen Han Chung Liang-Gee Chen Yu-Chieh Kao Fu-Shan Jaw DSP/IC Design Laboratory Graduate Institute of Electronics engineering National Taiwan University Taipei Taiwan Laboratory of Electrophysiology Institute of Biomedical Engineering National Taiwan University Taipei Taiwan

One of the most important problems in the field of biomedical engineering is how to record a multichannel neural signal. This problem arises because recording produces a large amount of data that must be reduced to transfer it through wireless transmission, and data reduction must be made without compromising data quality. Video compression technology is very important in the field of signal processing, and there are many similarities between multichannel neural signals and video signals. Therefore, we use motion vectors (MVs) to reduce the redundancy between successive video frames and successive channels. We also test what transform for neural signal compression is best. Our novel signal compression method gives a signal-to-noise ratio (SNR) of 25 db and compresses data to 5% of the original signal.

关键词： Video compression Signal processing algorithms Signal processing Biomedical signal processing Video recording Biomedical engineering Video signal processing Neurons Algorithm design and analysis compression algorithms

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Method for Fast compression of Program Codes for OTA Updation in Consumer Devices

Method for Fast Compression of Program Codes for OTA Updatio...

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IEEE International Conference on Consumer Electronics (ICCE)

作者： Ryozo Kiyohara Satoshi Mii Mitsuhiro Matsumoto Masayuki Numao Satoshi Kurihara The Information technology R & D Center Mitsubishi Electric Corporation Limited Japan Graduate School of Information Science and Technology Osaka University Japan Institute of Scientific and Industrial Research Osaka University Japan

This paper presents an over-the-air method for updating the software of consumer devices such as mobile phones and car navigation systems. Software update is carried out using binary difference technology, software construction technology, and fast compression technology. In this paper, we focus on a fast BPE (byte pair encoding) method of program codes on devices and obtain good results using it.

关键词： Encoding Mobile handsets Flash memory compression algorithms Decoding Navigation Random access memory Operating systems Costs Dictionaries

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Quality- and energy-aware data compression by aggregation in WSN data streams

Quality- and energy-aware data compression by aggregation in...

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IEEE International Conference on Pervasive Computing and Communications (PerCom)

作者： Cinzia Cappiello Fabio A. Schreiber Dipartimento di Elettronica e Informazione Politecnico di Milano Milan Italy

Sensor networks consist of autonomous devices that cooperatively monitor an environment. Sensors are equipped with capabilities to store information in memory, process information and communicate with neighbors and with a base station . However, due to the sensors' size, their associated resources are limited. In such a context, the main cause of energy dissipation is the use of the wireless link. Solutions that minimize communication are needed. In this paper a framework to manage efficiently data streams is presented. The proposed approach aims at saving energy by capturing signals and compress them instead of sending them in raw form. The algorithm also guarantees that the compressed representation satisfies quality requirements specified in terms of accuracy, precision, and timeliness.

关键词： Data compression Wireless sensor networks Sensor phenomena and characterization Base stations Energy storage Algorithm design and analysis compression algorithms Aggregates Monitoring Context

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An iterative scheme for near optimal and universal lossy compression

An iterative scheme for near optimal and universal lossy com...

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IEEE (first ITW conference of the year) Information Theory Workshop (ITW)

作者： Shirin Jalali Andrea Montanari Tsachy Weissman Department of Electrical Engineering University of Stanford USA Department of Electrical Engineering Technion-Israel Institute of Technology Israel

We present a new lossy compression algorithm for discrete sources. The encoder assigns a certain cost to each reconstruction sequence, finds the sequence that minimizes the cost, and describes it losslessly to the decoder via a universal lossless compressor. The cost of a sequence is defined as a linear combination of its empirical probabilities of some order k + 1 and its distortion relative to the source sequence. The linear structure of the cost in the empirical count matrix allows the encoder to employ a Viterbi-like algorithm for obtaining the minimizing reconstruction sequence simply. We identify a choice of coefficients for the linear combination in the cost function which ensures that the algorithm universally achieves the optimum rate-distortion performance of any Markov source in the limit of large n, provided k is increased as o(log n). Finding the optimal coefficients is complex and requires solving a non-convex optimization problem. As a detour, we propose a simple heuristic iterative procedure, and demonstrate its efficiency through our experimental results.

关键词： Rate-distortion Distortion measurement Performance loss Rate distortion theory Simulated annealing Viterbi algorithm compression algorithms Decoding Cost function Iterative algorithms

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Experimental Study on Lossless compression of Biometric Sample Data

Experimental Study on Lossless Compression of Biometric Samp...

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International Symposium on Image and Signal Processing and Analysis

作者： Georg Weinhandel Herbert Stiogner Andreas Uhl School of Communication Engineering for IT Carinthia Tech Institute Department of Computer Sciences University of Salzburg

ISBN: (纸本)9781424456499

The impact of using different lossless compression algorithms on the compression ratios and timings when processing various biometric sample data is investigated. In particular, we relate the application of lossless JPEG, JPEG-LS, lossless JPEG2000 and SPIHT, PNG, GIF, and a few general purpose compression schemes to imagery of the following biometric modalities: fingerprint, iris, retina, face, and hand. Results differing from behaviour found with common or textured imagery are specifically discussed.

关键词： Biometrics Image coding Transform coding Fingerprint recognition Face recognition ISO standards IEC standards compression algorithms Timing Feature extraction

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