Title :
Design of linear-phase variable 2-D FIR digital filters using matrix-array decomposition
Author_Institution :
Fac. of Sci., Toho Univ., Chiba, Japan
fDate :
6/23/1905 12:00:00 AM
Abstract :
A novel approach for designing linear-phase variable two-dimensional (2-D) digital filters is described, which is based on the matrix-array decomposition (MAD) of real-valued multidimensional (M-D) arrays. By using the MAD, the desired variable 2-D magnitude response can be decomposed into the real-valued frequency response specifications of the normal constant 2-D filters and the approximation specifications of M-D polynomials. Thus the problem of designing a variable 2-D filter can be decomposed into the sub-problems that involve the design of constant 2-D filters and the approximation of M-D polynomials. Since the sub-problems are much easier to solve than the direct approximation of the given variable 2-D magnitude response specification, this MAD-based design approach is extremely efficient and straightforward
Keywords :
FIR filters; image processing; linear phase filters; matrix decomposition; polynomial approximation; two-dimensional digital filters; image processing; linear-phase variable 2-D FIR digital filters; linear-phase variable 2-D digital filter design; matrix-array decomposition; polynomial approximation specifications; real-valued frequency response specifications; real-valued multidimensional arrays; variable 2-D magnitude response; Band pass filters; Design methodology; Digital filters; Electronic mail; Finite impulse response filter; Frequency; Information science; Matrix decomposition; Phased arrays; Polynomials;
Conference_Titel :
Electronics, Circuits and Systems, 2001. ICECS 2001. The 8th IEEE International Conference on
Print_ISBN :
0-7803-7057-0
DOI :
10.1109/ICECS.2001.957571