DocumentCode :
1935584
Title :
2-D DFT-DWT Application to Multidimensional Signal Processing
Author :
Xiao, Tan ; Hu, Shao-hai ; Xiao, Yang
Author_Institution :
Inst. of Inf. Sci., Beijing Jiaotong Univ.
Volume :
2
fYear :
2006
fDate :
16-20 2006
Abstract :
Some multidimensional signals may have different probability distribution of noise and frequency interference in different directions (horizontal and vertical, or space and time). It poses the question of how to extract desired signals from such complicated environment of noise and interference. It is difficult to extract by using classical DFT and DWT algorithms alone. To solve the problem, a hybrid 2-D transform, discrete Fourier transform-discrete wavelet transform (2-D DFT-DWT), with definitions, properties and algorithms, is developed for the hybrid 2-D signal processing. The hybrid transform can be used to remove the noise or interference in 2-D signals from different directions. Under the transform, desired results can be obtained to take advantage of merits of both DFT and DWT. Also, simulation illustrates the application
Keywords :
discrete Fourier transforms; discrete wavelet transforms; feature extraction; probability; signal processing; DFT-DWT application; discrete Fourier transform; discrete wavelet transform; hybrid 2D signal processing; multidimensional signal processing; noise-frequency interference; probability distribution; signal extraction; Discrete Fourier transforms; Discrete transforms; Discrete wavelet transforms; Fourier transforms; Interference; Multidimensional signal processing; Multidimensional systems; Probability distribution; Signal processing algorithms; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
Type :
conf
DOI :
10.1109/ICOSP.2006.345596
Filename :
4129077
Link To Document :
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