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检索条件"主题词=Compression algorithms"

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On board strip-based wavelet image coding for future space remote sensing missions

On board strip-based wavelet image coding for future space r...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： C. Parisot M. Antonini M. Barlaud C. Lambert-Nebout C. Latry G. Moury I3s laboratory Biot France CNES-Bpi 1421 Centre National d'Etudes Spatiales Toulouse France

Spacecraft sensor obtained data has to be stored on-board until an opportunity arises for it to be transmitted to the ground. compression algorithms used in space were based first on DPCM and then on DCT. Image quality evaluation determined however that for applications using the adaptive DCT, such as for SPOT 5, the maximum acceptable compression ratio was about 3 for high resolution observation and about 15 for scientific missions. Beyond that compression ratio, the occurrence of block effects in uniform areas and the loss of detail related to compression noise is no more acceptable for scientific use. To overcome these limits and to prepare future generations of Earth observation satellites and scientific missions, the authors propose a novel and efficient strip-based satellite image coder adapted for on board processing. The performances of their method are better than JPEG 2000 with a complexity lower than 60 operations per pixel. Furthermore, their method can be implemented for different image samplings. The authors quickly explain the general compression scheme used and the solution for on the fly DWT computation. They present the dynamic bit allocation and the regulation process chosen for rate control. Then, they evaluate the complexity and performances of their method comparatively to JPEG 2000.

关键词： Image coding Discrete cosine transforms Transform coding Space vehicles compression algorithms Image quality Image resolution Signal to noise ratio Artificial satellites Image sampling

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MPEG-2 as a transmission system for Internet traffic

MPEG-2 as a transmission system for Internet traffic

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IEEE International Conference on Performance, Computing and Communications (IPCCC)

作者： H.D. Clausen B. Necker T. Eder H. Linder Institute for Computing Sciences and Systems Analysis University of Salzburg Austria

MPEG-2 is an international standard defining compression algorithms for video and audio. Additionally, the standard defines a packet and cell oriented transmission system for the resulting digital streams. This system has been used as a local network to carry Internet traffic over a direct broadcast satellite. Applications have been developed for either unicast or multicast services from a base station server to a group of receiving clients. Inexpensive integrated receiver/decoder cards are used which contain a complete RF receiver, demodulator and decoder and interface directly to the PC bus. The paper describes the encapsulation and the implementation of a prototype system based on the European DVB standards which has been operational since early 1997. It then discusses some of the design decisions and suggests a generic encapsulation mechanism for future data and multimedia applications using MPEG-2 as a transport system.

关键词： Internet Transform coding Telecommunication traffic Decoding Encapsulation compression algorithms Video compression Streaming media IP networks Satellite broadcasting

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Video coding using 3 dimensional DCT and dynamic code selection

Video coding using 3 dimensional DCT and dynamic code select...

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Data compression Conference (DCC)

作者： M. Bauer K. Sayood Department of Electrical Engineering University of Nebraska Omaha Lincolnshire NE USA

Summary only given. We address the quality issue, and present a method for improved coding of the 3D DCT coefficients. Performance gain is achieved through the use of dynamically selected multiple coding algorithms. The resulting performance is excellent giving a compression ratio of greater than to 100:1 for image reproduction. The process consists of stacking 8 frames and breaking the data into 8/spl times/8/spl times/8 pixel cubes. The three dimensional DCT is applied to each cube. Each cube is then scanned in each dimension to determine if significant energy exists beyond the first two coefficients. Significance is determined with separate thresholds for each dimension. A single bit of side information is transmitted for each dimension of each cube to indicate whether more than two coefficients will be transmitted. The remaining coefficients of all cubes are reordered into a linear array such that the elements with the highest expected energies appear first and lower expected energies appear last. This tends to group coefficients with similar statistical properties for the most efficient coding. Eight different encoding methods are used to convert the coefficients into bits for transmission. The Viterbi algorithm is used to select the best coding method. The cost function is the number of bits that need to be sent. Each of the eight coding methods is optimized for a different range of values.

关键词： Video coding Discrete cosine transforms Video compression Biomedical imaging HDTV compression algorithms Image coding Back Bit rate Performance gain

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Stack-run adaptive wavelet image coding

Stack-run adaptive wavelet image coding

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Data compression Conference (DCC)

作者： A.M. Awan N.M. Rajpoot S.A. Husain GIK Inst. of Engg. Pakistan Department of Computer Science University of Warwick UK

Summary form only given. An adaptive wavelet transform based on an image coder that employs a stack-run representation for quantized transform coefficients and benefits from the intra-subband redundancies is presented. The compression algorithm can be divided into four parts. First, an adaptive wavelet packet basis is selected for representing the given image using certain entropy-based cost functions. Second, the wavelet packet coefficients are quantized using an optimal scalar quantizer for Laplacian distribution. Third, the quantized coefficient is represented with stack-run coding generating a redundant symbol stream. Finally, this symbol stream is entropy coded using a higher order arithmetic coder.

关键词： Image coding Wavelet packets Filters Wavelet transforms Cost function Streaming media Entropy Computer science compression algorithms Laplace equations

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Robust Speech Coding for the Preservation of Speaker Identity

Robust Speech Coding for the Preservation of Speaker Identit...

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International Symposium on Signal Processing and Its Applications (ISSPA)

作者： M. Phythian J. Leis S. Sridharan Faculty of Engineering University of Southern Queensland Toowoomba Australia Signal Processing Research Centre Queensland University of Technology Brisbane Australia

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Efficient Compressive Sensing on the Shimmer Platform for Fall Detection

Efficient Compressive Sensing on the Shimmer Platform for Fa...

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IEEE International Symposium on Circuits and Systems

作者： Mehdi Neggazi Latifa Hamami Abbes Amira Signal and Communications Laboratory Ecole Nationale Polytechniques BP 182 Elharrach 16200 Algiers Algeria School of Computing University of the West of Scotland United Kingdom

ISBN: (纸本)9781479934331

Long-time cycle wireless monitoring of patients with health concerns is highly required. The quality of care, ability of fall detection and prevention is tremendously increased through enabling continous remote human movement monitoring. The aim of this paper is twofold. Firstly, to propose a real-time energy-aware wireless fall detection system based on emerging compresive sensing (CS). Secondly, to define the best way for an efficient deployment of CS-based approach on limited hardware resources sensing platforms. In addition a compression algorithm for high accuracy fall recognition is presented. The CS-based approach is carried out on the low power Shimmer sensing platform, and is aimed to reduce the 3D acceleration data for energy efficiency improvement of the energy-hungry wireless links. The sparsity degree for an efficient representation of 3D acceleration signal and high fall detection accuracy rate is also studied. Interestingly, our results show an average power consumption of less than 38% on the Shimmer Bluetooth link, and the average 3D acceleration data compression rate is about 56%. In addition, an error between the original and reconstruted 3D acceleration signal of 7% after applying CS would yield a space savings of 56% and fall detection accuracy of 96%, for a sparsity S=77 and signal length N=512. Moreover, the proposed energy-aware fall detection system has been proven to distinguish among falls and activities of daily living, and the accuracy has been evaluated in terms of specificity and sensitivity and has shown excellent results.

关键词： Detection systems hardware resource Platform Autumn compression algorithms acceleration Human locomotion Compressed sensing Power consumption

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Interference detection using time-frequency binary hypothesis testing

Interference detection using time-frequency binary hypothesi...

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MILCOM, Military Communications Conference

作者： Andrew C. Marcum Joon Young Kim David J. Love James V. Krogmeier Raytheon Company Space and Airborne Systems Fort Wayne IN School of Electrical and Computer Engineering Purdue University West Lafayette IN

ISBN: (纸本)9781509000746

The growth in demand for wireless broadband is increasing the instrumental value of characterizing interference in spectral bands of interest. In particular, detection and classification of interference is an important function for mobile ad hoc network (MANET) nodes to optimize performance. In this paper, we propose interference detection and classification techniques for a network that consists of N distributed nodes and a classification center connected to each node by a robust link. Due to the limited capacity of the network connecting these nodes, each node compresses the observed signal into a binary vector that spans time and frequency and provides the bits to a classification center. In turn, the classification center stitches the compressed signals from all nodes into a single structure with characteristics that are exploited to detect and classify. The Kolmorgorov-Smirnov test is proposed for node compression. Furthermore, bounds on theoretical classification performance from finite blocklength coding theory are defined. Finally, we propose a minimum distance method to perform classification.

关键词： Interference Time-frequency analysis Mobile ad hoc networks Signal processing Detectors compression algorithms

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Scalable image embeddings from arbitrary wavelet-based perceptual models

Scalable image embeddings from arbitrary wavelet-based perce...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： M. Gaubatz S.S. Hemami School of Electrical and Computer Engineering Cornell University Ithaca New York USA

Embedded image coding is a compression technique that yields bit streams robust to truncation. The first embedded wavelet-based compression algorithms were designed to optimize for mean-squared-error (MSE). More recent algorithms incorporate a variety of perceptually-based optimization criteria, which are implemented by selecting subband quantization step-sizes based on a target quality (and therefore rate). Since these step-sizes vary with rate, a bit stream optimized for a specific rate, if truncated, does not necessarily reflect the perceptual quality achievable at this lower rate. Constraints are given under which a wavelet-based perceptual model can generate an embedded image representation yielding perceptually derived results over a range of rates. This kind of embedding is implemented by strategically selecting the order in which subband bit planes are coded. When truncated, the resulting embedded streams provide perceptually tuned images.

关键词： Streaming media Quantization Image coding Robustness Image representation Embedded computing compression algorithms Algorithm design and analysis Design optimization Image generation

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Enhancing vocoder performance for music signals

Enhancing vocoder performance for music signals

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： V. Berisha A. Spanias Department of Electrical Engineering Arizona State University Tempe AZ USA

Low bit rate standards involving the code excited linear predictive coder (CELP) are typically optimized for telephone speech. The performance of CELP with non-speech signals, and particularly with music, degrades considerably. It is of interest these days to improve the robustness of these coders by adding pre- and post-processing stages to the core compression algorithm. In this paper, we propose a frequency-domain technique involving time-varying filters to enhance the audio quality with a small number of overhead information bits. Preliminary results have shown both qualitative and quantitative improvements in the sound quality.

关键词： Vocoders Multiple signal classification Bit rate Code standards Telephony Speech coding Degradation Robustness compression algorithms Information filtering

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Data compressor decompressor IC

Data compressor decompressor IC

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： I.A. Shah B.C. Johnson Philips Laboratories North American Philips Corporation Briarcliff Manor NY USA

The data compressor decompressor (DCD) IC, a VLSI implementation of a version of the Lempel-Ziv (L-Z) compression algorithm, is discussed. The IC is suitable for high-speed, lossless compression of digital data such as text and images. The single-pass lossless compression scheme adapts to the statistics of the data being processed. The authors outline the L-Z compression method, illustrate a solution to its search requirement, and discuss the chip architecture and features.< >

关键词： Image coding Very large scale integration Encoding compression algorithms Statistics Memory Decoding Laboratories High speed integrated circuits Digital integrated circuits

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