Title :
Theory of wavelet transform over finite fields
Author :
Fekri, F. ; Mersereau, R.M. ; Schafer, R.W.
Author_Institution :
Center for Signal & Image Process, Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
We develop the theory of the wavelet transform over Galois fields. To avoid the limitations inherent in the number theoretic Fourier transform over finite fields, our wavelet transform relies on a basis decomposition in the time domain rather than in the frequency domain. First, we characterize the infinite dimensional vector spaces for which an orthonormal basis expansion of any sequence in the space can be obtained using a symmetric bilinear form. Then, by employing a symmetric, non-degenerate, canonical bilinear form we derive the necessary and sufficient condition that basis functions over finite fields must satisfy in order to construct an orthogonal wavelet transform. Finally, we give a design methodology to generate the mother wavelet and scaling function over Galois fields by relating the wavelet transform to a two channel paraunitary filter bank
Keywords :
Galois fields; channel bank filters; filtering theory; signal processing; wavelet transforms; Galois fields; basis decomposition; basis functions; design methodology; discrete-time signals; finite fields; infinite dimensional vector spaces; mother wavelet; necessary condition; number theoretic Fourier transform; orthogonal wavelet transform; orthonormal basis expansion; scaling function; signal processing; sufficient condition; symmetric bilinear form; symmetric nondegenerate canonical bilinear form; time domain; two channel paraunitary filter bank; Filter bank; Fourier transforms; Galois fields; Image analysis; Image processing; Polynomials; Signal processing; Wavelet analysis; Wavelet domain; Wavelet transforms;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.756196