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检索条件"主题词=Compression algorithms"

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Speed up the Search in Bitmap Based Compressed Sparse Arrays

Speed up the Search in Bitmap Based Compressed Sparse Arrays

引用

International Conference on Information Management and Engineering, ICIME

作者： Joseph Zalaket Department of computer science Université Saint-Esprit de Kaslik Jounieh Lebanon

ISBN: (纸本)9781424437740

MOLAP (multidimensional OLAP) systems are storing data as cubes in multidimensional arrays. Data cubes can be sparse, which slows down the performance of MOLAPs and requests useless additional data storage. Many compression algorithms have been introduced to deal with the sparsity of MOLAP data cubes. In this paper we present a new compression algorithm based on the bitmap compression technique. Instead of the linear structure used by the classical bitmap, we use a balanced tree structure to store the compressed data in order to reduce the search time. We demonstrate in this paper that our algorithm performs a search in the compressed structure in a logarithmic time which overcomes the linear time needed by classical bitmap compression methods. We finally show some empirical results in which our proposed algorithm has been tested over multiple datasets and compared to the classical bitmap algorithm.

关键词： Multidimensional systems compression algorithms Data warehouses Marketing and sales Testing Information management Data engineering Computer science Electronic mail Memory

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A distributed joint source-channel coding scheme for multiple correlated sources

A distributed joint source-channel coding scheme for multipl...

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International Conference on Communications and Networking in China (CHINACOM)

作者： Xuqi Zhu Lin Zhang Yu Liu School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China

Multiple nodes sensing the common target is the most popular application of the Wireless Sensor Networks (WSNs). Pure distributed compression of multiple correlated sources has been discussed much in the related literature, while taking the noisy communication channels into account is more suitable for the actual scenario. In this paper, a practical Distributed Joint Source-Channel Coding (DJSCC) scheme for multiple correlated sources is proposed. Besides considering the noisy channels and multiple sources, the processing of the noisy side information is also investigated here. By combining the Shannon theorem and the Slepian-Wolf theorem, the theoretical limits of the proposed DJSCC scheme are derived. An efficient coding strategy with a single Low-Density Parity Check (LDPC) code is designed based on the theory to cope with both source and channel coding. The simulation results demonstrate the desired efficiency of our scheme.

关键词： Channel coding Wireless sensor networks Parity check codes Source coding Decoding Communication channels Aggregates compression algorithms Turbo codes Pollution

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A reverse-encoding-based on-chip AHB bus tracer for efficient circular buffer utilization

A reverse-encoding-based on-chip AHB bus tracer for efficien...

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Asia and South Pacific Design Automation Conference

作者： Fu-Ching Yang Cheng-Lung Chiang Ing-Jer Huang Department of Computer Science and Engineering National Sun Yat-sen University Taiwan

ISBN: (纸本)9781424427482

The post-T/pre-T trace refers to the trace captured before/after a target point is reached, respectively. Real time compression of the post-T trace in a circular buffer is a challenging problem since the initial state of the trace being compressed might be corrupted when wrapping around occurs and thus, makes it difficult to reconstruct the trace from the incomplete information stored in the circular buffer. This paper proposes an efficient compression algorithm which is capable of compressing both pre-T and post-T traces. The algorithm is based on an innovative reverse encoding scheme by reversing the order of the datum being encoded and the datum being referred. This algorithm has been successfully implemented in a realtime on-chip AHB bus tracer and has been embedded in a 3D graphics SoC as an application example. The bus tracer costs only 44 K gates and runs at 500 MHz on 0.13 mum technology. Experiments have shown that this bus tracer achieves 100% circular buffer utilization and captures 1.2times and 4.86times trace depths than state-of-the-art related work and conventional industrial approaches, respectively.

关键词： Encoding compression algorithms Buffer storage System-on-a-chip Pins Hardware Computer science Wrapping Graphics Costs

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A note on the estimation of string complexity for short strings

A note on the estimation of string complexity for short stri...

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International Conference on Information, Communications and Signal Processing

作者： Ulrich Speidel Department of Computer Science University of Auckland Auckland New Zealand

ISBN: (纸本)9781424446568

While Kolmogorov's well-known results show that absolute string complexity is not computable, its estimation is nevertheless of importance in fields such as randomness testing, data compression evaluation, similarity measurement and event detection. Several complexity estimators have been developed over the years, with the Lempel-Ziv parsers being the most prominent. The estimators' asymptotic behaviour for long strings is generally compatible, but they differ considerably in the domain of short strings. Short strings are however exactly the kind of data encountered in many of the practical application areas. This paper proposes a method for evaluating the comparative performance of such estimators and presents experimental results for Lempel-Ziv parsers and a more recent estimator, the T-complexity.

关键词： Production Testing Entropy Computer science Data compression Event detection compression algorithms Vocabulary Proposals Upper bound

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Security using Shannon-Fano-Elias codes

Security using Shannon-Fano-Elias codes

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Raj S. Katti Ahana Ghosh Department of Electrical and Computer Engineering North Dakota State University Fargo ND USA

ISBN: (纸本)9781424438273

In this paper we propose using the compression method, Shannon-Fano-Elias coding, for encryption. Shannon-Fano-Elias codes lend themselves for encryption because code-words depend on the order in which the symbols that need to be coded are written and it does not matter if the probability mass function of the symbols is known to everyone. If there are n symbols then there are n! orderings, each leading to a new code. Using an ordering as a key for encryption for small n leads to a weak encryption scheme. We therefore propose a new scheme called adaptive Shannon-Fano-Elias code that makes the complexity of attacks exponential in m, where m is the length of the string being compressed. Since m is usually very large (> 2 20 ), the security of our scheme is very high. The main reason why our scheme's security depends on m is the fact that all attacks require the ciphertext to be scanned from left to right.

关键词： Cryptography Data security Multimedia systems Huffman coding Computer security Data compression compression algorithms Multimedia communication Encoding Distribution functions

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Forward adaptive KLT coding

Forward adaptive KLT coding

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

作者： Carlos E. Davila Electrical Engineering Department Southern Methodist University Dallas TX USA

A framework for implementing the forward adaptive Karhunen-Loeve Transform (FAKLT) is described. Unlike backward adaptive methods, FAKLT computes transform coefficients using basis vectors derived from the most recent signal frame. As a result, it exhibits improved energy compaction compared to the backward adaptive KLT. The method encodes only the KLT coefficients and a small amount of side information, the KLT basis vectors (eigenvectors) are not encoded.

关键词： Karhunen-Loeve transforms Decoding Autocorrelation Eigenvalues and eigenfunctions Transform coding GSM Compaction Data compression Adaptive systems compression algorithms

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Gamut fitting for image composition applications

Gamut fitting for image composition applications

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IEEE International Conference on Image Processing

作者： Wenxian Yang Jianmin Zheng Jianfei Cai School of Computer Engineering Nanyang Technological University Singapore

Existing digital image composition algorithms neglect the out-of-gamut problem, i.e. some pixel values in a composited image exceed the displayable or printable range. In this paper, we show that the commonly used solution, i.e. hard clipping or linear scaling, results in either detail loss or global contrast reduction. Directly applying the existing high dynamic range (HDR) compression algorithms cannot achieve pleasant visual quality either. Thus, we propose a gamut fitting method to solve this out-of-gamut problem in image composition. In particular, we formulate gamut fitting as a multi-criteria optimization problem. Polynomials in the Bernstein-Be¿zier form are used to compute the optimal gamut mapping curve. The proposed approach can be regarded as a post-processing procedure to enhance the visual quality of the resulting images from image composition applications.

关键词： Dynamic range Image coding Pixel Digital images compression algorithms Image generation Application software Computer displays Fitting Polynomials

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A time-domain multi-resolution electrocardiogram transmission schema for telemedicine

A time-domain multi-resolution electrocardiogram transmissio...

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IEEE International Symposium on Information (IT) in Medicine and Education, ITME

作者： Qunyi Zhou School of Information and Electronic Engineering Zhejiang University of Science and Technology Hangzhou China

Electrocardiogram (ECG) telemedicine is effective way to obtain better clinical service timely. Limited by network and clinical experience, a progressive ECG transmission schema is required. In this paper, a time-domain multi-resolution ECG transmission schema is proposed. This schema supports multi-segment, multi-sample, multi-lead and any ECG compression algorithm. It has proved that the schema has high scalability and practical for ECG telemedicine.

关键词： Time domain analysis Telemedicine Electrocardiography Low pass filters Sampling methods compression algorithms Frequency Internet Scalability Appraisal

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A new approach to compress RFID data for the construction of the RFID data warehouse

A new approach to compress RFID data for the construction of...

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Proceeding of International Conference on Methods and Models in Computer Science (ICM2CS)

作者： K Srinivas Rao K R Chandran Department of Computer Science Hyderabad Institute of Technology and Management Hyderabad Andhra Pradesh India Department of Information Technology PSG College of Technology Coimbatore Tamil Nadu India

Radio frequency identification (RFID) applications set to play an essential role in object tracking and supply chain management systems. In future RFID technologies are expected that every major retailer will use RFID systems to track the movement of products from suppliers to warehouses, transportation and distribution. The volume of information generated by such systems is enormous. Despite all these, RFID technology presents numerous challenges, including incomplete data, lack of location and containment information and very high volumes. In this paper we propose a novel data interpretation and compression substrate over RFID streams to address these challenges in enterprise supply chain environments. Our results demonstrate that our inference techniques provide good accuracy while retaining efficiency, and our compression algorithm yields significant reduction in data volume.

关键词： Radiofrequency identification Data warehouses Supply chains compression algorithms Computer science Educational institutions Supply chain management Tracking Transportation Signal processing

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A Novel MDC Framework Based on Orientation SFQ Algorithm

A Novel MDC Framework Based on Orientation SFQ Algorithm

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International Conference on Innovative Computing, Information and Control (ICICIC)

作者： Lin-Lin Tang Zhe-ming Lu Department of Electronic and Information Engineering Shenzhen Graduate School Harbin Institute of Technology Shenzhen China School of Aeronautics and Aeronautics University of Zhejiang Hangzhou China

ISBN: (纸本)9781424455430

A novel MDC framework based on the spatial frequency quantization (SFQ) is proposed in this article. Different from other algorithms, this new three channel framework formed by using the orientation information optimization method based on the SFQ algorithm. According to the three different orientations, i.e., vertical, horizontal and diagonal directions, we use the gross and fine optimization method to introduce the redundancy into the different channels. Good performance in experiment shows the efficiency of this new algorithm.

关键词： Quantization compression algorithms Image coding Optimization methods Robustness Image reconstruction PSNR Transform coding Video compression Wireless communication

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