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检索条件"主题词=adaptive coding"

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AN H.264/AVC INVERSE TRANSFORM ADAPTATION METHOD FOR VIDEO STREAMING APPLICATIONS

AN H.264/AVC INVERSE TRANSFORM ADAPTATION METHOD FOR VIDEO S...

引用

European Signal Processing Conference

作者： Rafael Galvao de Oliveira Maria Trocan Beatrice Pesquet-Popescu Telecom ParisTech Institut Superieur d'Electronique de Paris

ISBN: (纸本)9781467310680

Bandwidth sharing in video streaming applications becomes problematic with the explosion of live services. In such applications, compression optimization techniques are seen as an efficient way for enforcing high quality video transmission. In this paper, we propose a low-complexity adaptive encoding framework for H.264/AVC, in which the inverse transformation matrix is optimized for each frame, as function of both content and quantization noise. As the transform optimization is done in one encoding pass, it can be successfully used in live encoding setups. The proposed synthesis filter adaptation method shows promising results compared to H.264/AVC, making it suitable for video streaming applications.

关键词： Inverse transform adaptive coding DCT Filter bank H.264/AVC quantization noise transformation matrix Videotapes Video streaming Explosions problematic adaptive coding synthesis filter

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PREDICTION OF RAIN ATTENUATION SERIES BASED ON DISCRETIZED SPECTRAL MODEL

PREDICTION OF RAIN ATTENUATION SERIES BASED ON DISCRETIZED S...

引用

IEEE International Geoscience and Remote Sensing Symposium

作者： Jie Chen Cedric Richard Paul Honeine Jean-Yves Tourneret Institut Charles Delaunay Universite de technologie de Troyes Laboratoire Fizeau Universite de Nice Sophia-Antipolis Laboratoire IRIT Universite de Toulouse

ISBN: (纸本)9781467311601

Spectral model is simple and efficient for modeling the rain attenuation which occurs in satellite communication channels. The prediction of this attenuation series is a vital step for adaptive coding or adaptive power control, which can improve the efficiency of a communication system. In simulation tasks, the discretized spectral model is usually used for generating the attenuation sequence. Due to this reason, in this paper we derive the conditional probability distribution of the predicted attenuation based on the discretized spectral model. This predictor can be used as a bound for others linear or nonlinear predictor of this model.

关键词： Spectrogram adaptive power control conditional probability distribution Attenuation Attenuation rain attenuation adaptive coding Satellite communication rain Dilution Technique COMMUNICATION SYSTEMS

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Optimized lossless compression of remote sensing image files using splay trees

Optimized lossless compression of remote sensing image files...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Radu Rădescu Andreea Honciuc Mihai Datcu Applied Electronics and Information Engineering Department Polytechnic University of Bucharest Romania

In this paper will be applied concepts like amortized complexity or self-adjustment to binary search trees. Motivation comes from the fact that the search trees have multiples drawbacks. It will be developed and analy... 详细信息

关键词： Image coding Transforms Binary search trees Compression algorithms adaptive coding Probability distribution

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Interferential Multispectral Image Compression with Classified Weighted Rate-Distortion Optimization and adaptive coding Depth Control

Interferential Multispectral Image Compression with Classifi...

引用

Congress on Image and Signal Processing, CISP

作者： Keyan Wang Yunsong Li Jie Guo Kai Liu Chengke Wu State Key Laboratory of Integrated Service Networks Xidian University Xi'an China

A compression algorithm based on partial SPIHT with classified weighted rate-distortion optimization and adaptive coding depth control is proposed. The different significance weights are initially given to every coding passes in each zero tree, according to the category of interferential regions and the significance of coding bitplanes. Then we determine the coding depth of each zero tree by significance weights and depth control factor, and code zero trees independently by Partial SPIHT, which selects adaptively one of three coding modes relying on the probability of significant coefficients in each bitplane. Finally the classified weighted rate-distortion optimization truncation is applied within the coding depth, according to the distortion contribution to constructed spectrum of zero trees in different interferential regions. The experimental results show that the proposed algorithm improves the performance in spatial and spectral domain, and efficiently reduces the computation complexity and memory.

关键词： Multispectral imaging Image coding Rate-distortion adaptive coding Spectroscopy Spectral analysis Optical imaging Signal processing algorithms Remote sensing Earth

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Robust adaptive coding schemes for multipath fading channels

Robust adaptive coding schemes for multipath fading channels

引用

International Symposium on Information Theory and Its Applications, ISITA

作者： Abd Rahim Mat Side Ahmad Zuri Sha'ameri Universiti Teknologi Malaysia Skudai Johor MY Digital Signal Processing Laboratory Universiti Teknologi Malaysia

ISBN: (纸本)9781424420681

This paper explains a robust adaptive coding scheme (CS) based on hybrid error control which is a combination of forward error control (FEC) and automatic repeat query (ARQ) to maximize the throughput and ensure error free data transmission. The system characteristics are suited for wireless application within VHF and HF spectrum. The system design utilizes block code FEC instead of convolution code since it can perform link quality analysis (LQA) without overhead data. The analysis of system performance is made in the presence of combine additive white Gaussian noise (AWGN) and flat fading conditions. Criteria performances are bit-error rate (BER), packet-error rate (PER) and the throughput with a given signal-to-noise ratio (SNR). In addition, a performance comparison with nonadaptive hybrid error control is made.

关键词： Robustness adaptive coding Fading Error correction Forward error correction Throughput Performance analysis AWGN Bit error rate Signal to noise ratio

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Rate Adaptation with CDM versus adaptive coding for Next Generation OFDM Systems

Rate Adaptation with CDM versus Adaptive Coding for Next Gen...

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IEEE Conference on Vehicular Technology (VTC)

作者： Stefan Kaiser DoCoMo Conimunications Laboratories Europe GmbH Munich Germany

This paper proposes data rate adaptation based on code division multiplexing (CDM). Under investigation are OFDM systems with cyclic delay diversity (CDD) and with spatial phase coding (SPC). These schemes are promising candidates for future broadband wireless systems. As lower bound, maximum ratio transmission (MRT) is chosen as reference. Imperfections due to channel estimation are taken into account in the investigations. The comparison of adaptive CDM versus adaptive coding shows that adaptive CDM outperforms adaptive coding, especially when spatial transmit diversity schemes are applied. This result is of interest for the design of future broadband adaptive transmission systems like IMT-Advanced.

关键词： adaptive coding OFDM Code division multiplexing Channel estimation Transmitting antennas Channel coding Frequency division multiplexing Transmitters Feedback Modulation coding

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Weather Radar Data Compression with Parallel adaptive coding Algorithm

Weather Radar Data Compression with Parallel Adaptive Coding...

引用

Congress on Image and Signal Processing, CISP

作者： Wei-hua Ai Chao-ling Shen Yun-Xian Huang Institute of Meteorology People''s Liberation Army University of Science and Technology Nanjing China

A method for achieving weather radar data compression with parallel adaptive coding is presented. Considering the specialty of it, some efficient pre-processing algorithms for the data such as coordinate transformation algorithm, scalar filter algorithm and vector field holding algorithm are given first. Then the parallel adaptive coding algorithm is used to compress the pre-processed data. Experimental results show that for the weather radar data, the proposed parallel adaptive algorithm achieves good Power Signal to Noise Ratio (PSNR) even in low bit rate and the parallel coding reduced the compression time.

关键词： Meteorological radar Data compression adaptive coding Image coding Signal processing algorithms Radar antennas Azimuth Radar scattering Weather forecasting Filters

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REGION-adaptive PROBABILITY MODEL SELECTION FOR THE ARITHMETIC coding OF VIDEO TEXTURE

REGION-ADAPTIVE PROBABILITY MODEL SELECTION FOR THE ARITHMET...

引用

IEEE International Conference on Acoustics, Speech and Signal Processing

作者： K. Vermeirsch J. Barbarien P. Lambert R. Van de Walle Department ofElectronics and Information Systems Faculty of Engineering Ghent University Belgium Department ofElectronics and Informatics (ETRO) Vrije Universiteit Brussel Belgium

ISBN: (纸本)9781457705380

In video coding systems using adaptive arithmetic coding to compress texture information, the employed symbol probability models need to be retrained every time the coding process moves into an area with different texture. To avoid this inefficiency, we propose to replace the probability models used in the original coder with multiple switchable sets of probability models. We determine the model set to use in each spatial region in an optimal manner, taking into account the additional signaling overhead. Experimental results show that this approach, when applied to H.264/AVC's context-based adaptive binary arithmetic coder (CABAC), yields significant bit-rate savings, which are comparable to or higher than those obtained using alternative improvements to CABAC previously proposed in the literature.

关键词： Video coding CABAC arithmetic cod-ing adaptivity context modeling adaptive coding CABAC Videotapes textures ENCODER Probability

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DVB-S2 adaptive coding and Modulation for HAP Communication System

DVB-S2 Adaptive Coding and Modulation for HAP Communication ...

引用

IEEE Conference on Vehicular Technology (VTC)

作者： Miha Smolnikar Tomaz Javornik Mihael Mohorcic Matteo Berioli Department of Communication Systems Jozef Stefan Institute Ljubljana Slovenia Institute of Communications and Navigation German Aerospace Center Oberpfaffenhofen Germany

Combining some of the best terrestrial and satellite systems' characteristics, high altitude platforms (HAPs) have recently emerged as an alternative solution for the provision of broadband services. Characterised by challenging propagation conditions in the allocated frequency bands, they require efficient utilisation of radio interface in order to make best use of the available spectrum. This paper analyses possible utilisation of DVB-S2 standard on HAPs, focusing on the performance of its adaptive coding and modulation (ACM) procedures as a mean of maximizing the link reliability and throughput. Two distinct operating scenarios are addressed, one assuming static channel conditions with the applied rain fading and the other representing mobile channel conditions along a representative railway track We show that by considering only a subset of transmission modes (MODCODs) defined by the DVB-S2 standard, the system could be optimized in terms of achievable spectral efficiency as well as in terms of implementation complexity. A procedure for optimal MODCOD subset selection is proposed, taking into account the predefined switching thresholds and round-trip time delay.

关键词： Digital video broadcasting adaptive coding Modulation coding Satellite broadcasting Radio spectrum management Performance analysis Throughput Rain fading Rail transportation Delay effects

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Novel Variable-Rate Convolutional coding Scheme for Flat Fading Channels

Novel Variable-Rate Convolutional Coding Scheme for Flat Fad...

引用

54th Annual IEEE Global Telecommunications Conference (GLOBECOM)

作者： Debessu, Yonas G. Wu, Hsiao-Chun Chang, Shih Yu Louisiana State Univ Dept Elect & Comp Engn Baton Rouge LA 70803 USA Natl Tsing Hua Univ Dept Comp Sci Hsinchu 30013 Taiwan

ISBN: (纸本)9781424492688

In wireless communications, the channel gain usually varies according to the Rayleigh distribution. Since the channel condition is time-varying, the fixed-rate convolutional encoder cannot facilitate the best error protection that can be achieved in practice. To mitigate this drawback, we propose a new variable-rate convolutional encoder which can adapt to the dynamical channel conditions subject to the channel state information (CSI) available at the transmitter. Appropriate coding rates are selected based on the instantaneous channel state information and thus robust error protection can be undertaken. Through numerous Monte Carlo simulations, we compare the performances in terms of the average error rate between the conventional fixed-rate convolutional encoder and the variable-rate convolutional encoder for different channels. At the same average transmission rate, our proposed new method outperforms the conventional fixed-rate convolutional encoder by a margin of 3-dB signal-to-noise ratio.

关键词： Convolutional codes variable-rate encoder adaptive coding fading error probability

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