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Binary hybrid GA-PSO based algorithm for compression of hyperspectral data
, Article 5th International Conference on Signal Processing and Telecommunication Systems, ICSPCS'2011, Honolulu, HI, 12 December 2011 through 14 December 2011 ; 2011 ; 9781457711800 (ISBN) ; Sepehrband, F ; Choupan, J ; Mortazavi, M ; Sharif University of Technology
Abstract
This paper introduces two new compression methods. One of these methods is adaptive and powerful for the compression of hyperspectral data, which is based on separating the bands with different specifications by the histogram analyzes and new version of Binary Hybrid GA-PSO (BHGAPSO) and compressing each one with a different manner. The new proposed methods improve the compression ratio of the JPEG standards and save storage space the transmission system. The proposed methods are applied on different test cases, and the results are evaluated and compared with some other compression methods, such as lossless JPEG and JPEG2000
Comparison study between dyadic wavelet transform and modified higher order moment
, Article Proceedings of SPIE - The International Society for Optical Engineering ; Volume 8285 , 2011 ; 0277786X (ISSN) ; 9780819489326 (ISBN) ; Ghorshi, S ; Mortazavi, M ; Sepehrband, F ; Sharif University of Technology
2011
Abstract
Pitch detection is the process of determining the period of the vocal cords closure or in another word the time duration of one glottal closed, open and returning phase. Dyadic wavelets transform (DyWT) and modified higher order moment, are two pitch detection methods. DyWT is an accurate pitch detection method, however it has less accuracy compared to modified higher order moment. On the other hand modified higher order moment has high computational complexity and is time consuming. The DyWT pitch period detection is based on a two pass dyadic wavelet transform over a signal. Modified higher order moment is based on autocorrelation function (ACF) and in this method the speech signal has...
Pitch extraction using dyadic wavelet transform and modified higher order moment
, Article International Conference on Communication Technology Proceedings, ICCT, 11 November 2010 through 14 November 2010, Nanjing ; 2010 , Pages 833-836 ; 9781424468690 (ISBN) ; Ghorshi, S ; Mortazavi, M ; Sepehrband, F ; Sharif University of Technology
2010
Abstract
Pitch detection is the process of determining the period of the vocal cords closure or in another word the time duration of one glottal closed, open and returning phase. Dyadic wavelets transform (DyWT) and modified higher order moment, which is based on the autocorrelation function, are two pitch detection methods. DyWT is an accurate pitch detection method, however it has less accuracy compared to modified higher order moment. On the other hand modified higher order moment has high computational complexity and is time consuming. In this paper, we propose a pitch detection method based on DyWT which has use modified higher order moment. Modified higher order moment is applied only in some...