Signal compression using discrete fractional Fourier transform and set partitioning in hierarchical tree

被引：21
|
作者：
Vijaya, C.
Bhat, J. S. [1 ]
机构：
[1] Karnatak Univ, Dept Phys, Dharwad 580003, Karnataka, India
[2] SDM Coll Engn & Technol, Dharwad 580002, Karnataka, India
来源：
SIGNAL PROCESSING | 2006年 / 86卷 / 08期
关键词：
signal compression; FRFT; nonstationary signal; TFR; DFRFT; SPIHT;
D O I：
10.1016/j.sigpro.2005.09.025
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Signal compression has been characterized as the removal of redundancy and irrelevancy. Fractional Fourier Transform (FRFT), an orthogonal, linear transform, is known to decompose the signal in terms of chirps. In this paper we propose a scheme for signal compression based on the combination of discrete FRFT (DFRFT) and set partitioning in hierarchical tree (SPIHT). The application of the scheme to different types of signals demonstrates significant reduction in bits leading to high Signal compression ratio. The results are compared with those obtained with discrete cosine transform (DCT). (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码：1976 / 1983
页数：8
相关论文
共 49 条
  • [1] A quality-on-demand electrocardiogram signal compression using modified set partitioning in hierarchical tree
    Supriya Rajankar
    Sanjay Talbar
    Signal, Image and Video Processing, 2016, 10 : 1559 - 1566
  • [2] A quality-on-demand electrocardiogram signal compression using modified set partitioning in hierarchical tree
    Rajankar, Supriya
    Talbar, Sanjay
    SIGNAL IMAGE AND VIDEO PROCESSING, 2016, 10 (08) : 1559 - 1566
  • [3] Signal Compression Using the Discrete Wavelet Transform and the Discrete Cosine Transform
    Barsanti, Robert J.
    Athanason, Athanasios
    2013 PROCEEDINGS OF IEEE SOUTHEASTCON, 2013,
  • [4] 2D Set Partitioning In Hierarchical Tree (SPIHT) On Embedded Devices For Multilead ECG Signal Compression
    Jati, Grafika
    Ma'sum, M. Anwar
    Jatmiko, Wisnu
    PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE ON PHYSICS AND ITS APPLICATIONS, 2015, : 182 - 187
  • [5] Memory Efficient Set Partitioning in Hierarchical Tree (MESH) for Wavelet Image Compression
    Ghani, Farid
    Kader, Abdul
    Khan, Ekram
    Ahmad, Badlishah
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2012, E95B (09) : 2906 - 2913
  • [6] ECG Signal Compression by Predictive Coding and Set Partitioning in Hierarchical Trees (SPIHT)
    Jati, Grafika
    Aprinaldi
    Isa, Sani M.
    Jatmiko, Wisnu
    2015 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER SCIENCE AND INFORMATION SYSTEMS (ICACSIS), 2015, : 257 - 262
  • [7] Noise Removal in Speech signal using Fractional Fourier Transform
    Kumar, Prafulla
    Kansal, Sarita
    2017 IEEE INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATION, INSTRUMENTATION AND CONTROL (ICICIC), 2017,
  • [8] IMAGE EMBEDDED ENCONDING USING SET PARTITIONING IN HIERARCHICAL TREE - SPIHT
    Gerlein, Eduardo A.
    Beltran, Paula A.
    Cabrera, Nestor R.
    Romero, Juan D.
    2018 29TH IRISH SIGNALS AND SYSTEMS CONFERENCE (ISSC), 2018,
  • [9] Algebraic representation for fractional Fourier transform on one-dimensional discrete signal models
    Zhang, Zhi-Chao
    IET SIGNAL PROCESSING, 2018, 12 (02) : 143 - 148
  • [10] SIGNAL COMPRESSION USING THE DISCRETE LINEAR CHIRP TRANSFORM (DLCT)
    Alkishriwo, Osama A.
    Chaparro, Luis F.
    2012 PROCEEDINGS OF THE 20TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2012, : 2128 - 2132
12345