A new technique to construct a wavelet transform matching a specified signal with applications to digital, real time, spike, and overlap pattern recognition

被引：33
作者：
Guido, RC
Slaets, JFW
Köberle, R
Almeida, UOB
Pereira, JC
机构：
[1] Univ Sao Paulo, Sch Engn Sao Carlos, Dept Phys & Informat, Inst Phys Sao Carlos, BR-13560970 Sao Carlos, SP, Brazil
[2] Univ Sao Paulo, Sch Engn Sao Carlos, Dept Elect Engn, BR-13560970 Sao Carlos, SP, Brazil
来源：
DIGITAL SIGNAL PROCESSING | 2006年 / 16卷 / 01期
关键词：
matched wavelet transform; real time DSP; pattern recognition; time-frequency-shape analysis;
D O I：
10.1016/j.dsp.2005.04.002
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：
This work describes a new and different path to create a wavelet transform that can match a specified discrete-time signal. Called Spikelet, it is designed and optimized to spike and overlap pattern recognition in the digitalized signal that comes from H I, a motion-sensitive neuron of the fly's visual system. The technique proposed here and the associated algorithm, implemented in real time using a digital signal processor (DSP), are fully detailed. The results obtained matching the signal under analysis show an improvement over all other transforms, including the Daubechies transform. This reassures the efficacy Of Our transform. (c) 2005 Elsevier Inc. All rights reserved.
引用
收藏
页码：24 / 44
页数：21
相关论文
共 20 条
  • [1] Addison P.S., 2002, ILLUSTRATED WAVELET, V1st ed.
  • [2] [Anonymous], 1998, Time Frequency and Wavelets in Biomedical Signal Processing
  • [3] Chapa JO, 2000, IEEE T SIGNAL PROCES, V48, P3395, DOI 10.1109/78.887001
  • [4] FUNG C, 2002, APPL DIGITAL IMAGE P, V25, P358
  • [5] OPTIMAL WAVELET REPRESENTATION OF SIGNALS AND THE WAVELET SAMPLING THEOREM
    GOPINATH, RA
    ODEGARD, JE
    BURRUS, CS
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-ANALOG AND DIGITAL SIGNAL PROCESSING, 1994, 41 (04): : 262 - 277
  • [6] GUIDO RC, 2005, P 37 IEEE SSST INT S, V1, P459
  • [7] Gupta A., 2002, P 8 NAT C COMM IIT B, P180
  • [8] Hamming R. W., 1989, DIGITAL FILTERS
  • [9] Haykin S., 2002, SIGNALS SYSTEMS, V2
  • [10] Haykin S., 2003, Least-mean-square adaptive filters
12