The Experts below are selected from a list of 149160 Experts worldwide ranked by ideXlab platform

B Javidi - One of the best experts on this subject based on the ideXlab platform.

  • a hybrid Compression Method for integral images using discrete wavelet transform and discrete cosine transform
    IEEE\ OSA Journal of Display Technology, 2007
    Co-Authors: E Elharar, Adrian Stern, Ofer Hadar, B Javidi
    Abstract:

    Integral imaging (II) is a promising three-dimensional (3-D) imaging technique that uses an array of diffractive or refractive optical elements to record the 3-D information on a conventional digital sensor. With II, the object information is recorded in the form of an array of subimages, each representing a slightly different perspective of the object In order to obtain high-quality 3-D images, digital sensors with a large number of pixels are required. Consequently, high-quality II involves recording and processing large amounts of data. In this paper, we present a Compression Method developed for the particular characteristics of the digitally recorded integral image. The Compression algorithm is based on a hybrid technique implementing a four-dimensional transform combining the discrete wavelet transform and the discrete cosine transform. The proposed algorithm outperforms the baseline JPEG Compression scheme applied to II and a previous Compression Method developed for II based on MPEG II.

Shuichi Itoh - One of the best experts on this subject based on the ideXlab platform.

Liviu Goras - One of the best experts on this subject based on the ideXlab platform.

  • an ecg signals Compression Method and its validation using nns
    IEEE Transactions on Biomedical Engineering, 2008
    Co-Authors: C M Fira, Liviu Goras
    Abstract:

    This paper presents a new algorithm for electrocardiogram (ECG) signal Compression based on local extreme extraction, adaptive hysteretic filtering and Lempel-Ziv-Welch (LZW) coding. The algorithm has been verified using eight of the most frequent normal and pathological types of cardiac beats and an multi-layer perceptron (MLP) neural network trained with original cardiac patterns and tested with reconstructed ones. Aspects regarding the possibility of using the principal component analysis (PCA) to cardiac pattern classification have been investigated as well. A new Compression measure called ldquoquality score,rdquo which takes into account both the reconstruction errors and the Compression ratio, is proposed.

Trevor Mudge - One of the best experts on this subject based on the ideXlab platform.

  • evaluation of a high performance code Compression Method
    International Symposium on Microarchitecture, 1999
    Co-Authors: Charles R. Lefurgy, Eva Piccininni, Trevor Mudge
    Abstract:

    Compressing the instructions of an embedded program is important for cost-sensitive low-power control-oriented embedded computing. A number of Compression schemes have been proposed to reduce program size. However, the increased instruction density has an accompanying performance cost because the instructions must be decompressed before execution. In this paper, we investigate the performance penalty of a hardware-managed code Compression algorithm recently introduced in IBM's PowerPC 405. This scheme is the first to combine many previously proposed code Compression techniques, making it an ideal candidate for study. We find that code Compression with appropriate hardware optimizations does not have to incur much performance loss. Furthermore, our studies show this holds for architectures with a wide range of memory configurations and issue widths. Surprisingly, we find that a performance increase over native code is achievable in many situations.

Iano Y - One of the best experts on this subject based on the ideXlab platform.

  • An Audio Compression Method Based on Wavelets Subband Coding
    EUA, 2015
    Co-Authors: Kemper G, Iano Y
    Abstract:

    This paper presents an audio Compression Method based on wavelets sub-band quantization and coding, and proposes a coder based on that Method. The proposed coder uses the wavelets packets transform in order to obtain the critical bands of the human auditory system. Some results of the MPEG-layer 2 psychoacoustic model are used in the wavelets coefficients coding. The MPEG results are transformed to the wavelet domain in order to determinate the quantizer type and the quantization levels number for each wavelet sub-band. The transform Method of these results is also proposed. The coder uses scalar and vector quantization Methods according with the sensibility of the human auditory system for each wavelet sub-band. The entropy coding is also used in order to improve the performance of the proposed coder. The results of the subjective evaluation demonstrate that the proposed coder achieve transparent coding of the monophonic CD signals at bit rates of 80-96 Kbit/seg.9561062

  • An Audio Compression Method Based On Wavelets Subband Coding
    2015
    Co-Authors: Kemper G, Iano Y
    Abstract:

    This paper presents an audio Compression Method based on wavelet sub-band quantization and coding, and proposes a coder based on that Method. The proposed coder uses the wavelet packet transform in order to obtain the critical bands of the human auditory system. Some results of the MPEG psychoacoustic model 2 are used in the coding of wavelet coefficients. The MPEG results are transformed to the wavelet domain in order to determinate the quantizer type and the number of quantization levels for each wavelet subband. The transform Method is also proposed. The coder uses scalar and vector quantization Methods according with the sensibility of the human auditory system for each wavelet subband. The entropy coding is also used in order to improve the performance of the proposed coder. The results of the subjective evaluation demonstrate that the proposed coder achieves transparent coding of the monophonic CD signals at bit rates of 80-96 Kbit/s. © 2005 IEEE.95610621Minjie, X., Chu, P., Taleb, A., Briand, M., ITU-T G.719: A new low-complexity full-band (20 khz) audio coding standard for high-quality conversational applications 2009 (2009) IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, , October 18-21 New Paltz, NY(1993), ISO/IEC 11172-3: Coding of Moving Pictures and Associated Audio for Digital Storage Media at up to About 1,5 Mbit/s-Part 3: Audio 1993(1998), ISO/IEC 13818-3: Information Technology-Generic Coding of Moving Pictures and Associated Audio Information -Part 3: Audio 1998(2004), ISO/IEC 13818-7: Information Technology-Generic Coding of Moving Pictures and Associated Audio Information -Part 7: Advanced Audio Coding (AAC) 2004United States Advanced Television Systems Committee Digital Audio Compression (AC-3) Standard Doc A/52, 10 Nov 94-12 Apr 95Jayant, N.S., Noll, P., (1984) Digital Coding of Waveforms, Principles and Applications to Speech and Video, , Prentice-HallNaveen, D., Jhansi, A., Implementation of psychoacoustic model in audio Compression using munich and gammachirp wavelets (2010) International Journal of Engineering Science and Technology, 2 (5), pp. 1066-1072Abid, K., Ouni, K., An improved psycho-acoustic model for mpeg-1 using a morlet cambridge wavelet (2009) IEEE International Conference on Signals, Circuits and SystemsSinha, D., Tewfik, A.H., Low bit rate transparent audio Compression using adapted wavelets (1993) IEEE Trans. Signal Processing, 41 (12)Rao, R.M., Ajit, S., (1998) Bopardikar , Wavelet Transform : Introduction to Theory and Applications, , Addison Wesley Longman, IncDaubechies, I., (1992) Ten Lectures on Wavelets, , Philadelphia, PA: Springer-VerlagVaidyanathan, P.P., Quadrature mirror filter banks, m-band extensions and perfect-reconstruction techniques (1987) IEEE ASSP Magazine, , JulyVetterli, M., Herley, C., Wavelets and filter banks : Theory and design (1992) IEEE Trans. Signal Processing, 40 (9)Kemper, G., Um método de compressão de áudio baseado na codificação de subbandas wavelets (2001) Tese de Doutorado, Faculdade de Engenharia Elétrica e de Computação (FEEC, , Universidade Estadual de Campinas (UNICAMP), SP, BrasilOppenheim, A.V., (1987) Applications of Digital Signal Processing, , Prentice HallShlien, S., Guide to mpeg-1 audio standard (1998) IEEE Trans. Broadcasting, 40 (4)Peebles Jr., P.Z., (1993) Probability Random Variables, and Random Signal Principles, , McGraw-HillGersho, A., Gray, R.M., (1992) Vector Quantization and Signal Compression, , Kluwer Academic PublishersGersho, A., On the structure of vector quantizers (1982) IEEE Trans. on Information Theory, IT-28 (2). , MarchLinde, Y., Buzo, A., Gray, R.M., An algorithm for vector quantizer design (1980) IEEE Trans. on Communications, COM-28 (1). , JanuaryBuzo, A., Gray Jr., A.H., Gray, R.M., Markel, J., Speech coding based upon vector quantization (1980) IEEE Trans. on Acoustic and Signal Processing, ASSP-28 (5). , OctoberMethod for objective measurements of perceived audio quality (1998) ITU-R Recommendation BS.1116, , U-R Task Gropup 10/4, Preliminary Draft Recomendation Doc. 10-4/19-E 19 March(1998), Method for Objective Measurements of Perceived Audio Quality ITU-R, Recommendation BS.1387-1Lopes, A., Barbedo, J.G.A., A new strategy for objective estimation of the quality of audio signals (2004) IEEE LATIN AMERICA TRANSACTIONS, 2 (3), pp. 162-167. , Sep