Title :
Representation frequency transforms by matrix direct sum
Author_Institution :
Dept. of Comput. Eng., Pacific Nat. Univ., Khabarovsk, Russia
Abstract :
Spectral methods are widely used to analyzed the different dimensions signals. Wavelet transform, Discrete cosine transform, Fourier transform and its windowed version are the basis of modern software and hardware for digital signal processing. This article considers issues of formation the modified scheme wavelet transform in matrix form. Showed examples for data processing based on the Haar and Daubechies wavelets giving an idea of the difference between traditional and modified approaches to the method implementation. Further, this approach is extended to the Windowed Fourier transform. Traditional and proposed matrix forms represented. The modified method has minimal effect on coefficient values in depending direction of processing in all cases.
Keywords :
Haar transforms; matrix algebra; signal processing; wavelet transforms; Daubechies wavelets; Haar wavelets; data processing; matrix direct sum; modified scheme wavelet transform; representation frequency transforms; windowed Fourier transform; Fourier transforms; Image reconstruction; Matrix decomposition; Signal resolution; Symmetric matrices; Wavelet transforms; digital signal processing; direct sum; invariance; matrix representation; wavelet; windowed Fourier transform;
Conference_Titel :
Control and Communications (SIBCON), 2015 International Siberian Conference on
Conference_Location :
Omsk
Print_ISBN :
978-1-4799-7102-2
DOI :
10.1109/SIBCON.2015.7147288