Title :
The design of signal dependent time-frequency kernels by McClellan transformation
Author :
Zalubas, Eugene J. ; Amin, Moeness
Author_Institution :
Dept. of Electr. Eng., Villanova Univ., PA, USA
Abstract :
A McClellan transformation 2-D filter design method is used for designing a signal dependent time-frequency (t-f) kernel. This method is amenable to t-f kernel constraints, which do not commonly arise when filtering signals in image and array processing applications. The two parts of the McClellan transformation method (the one-dimensional filter and the linear transformation) provide a mechanism for emphasizing the auto-terms and improve spectral resolution. The flexibility offered by the McClellan transformation method in shaping the contours in the frequency domain is used to place a unit value along the kernel axes and satisfy marginal constraints. Simulations involving chirp signals are presented
Keywords :
signal processing; time-frequency analysis; transforms; two-dimensional digital filters; 2-D filter design; McClellan transformation; array processing; chirp signals; contours shaping; frequency domain; image processing; linear transformation; marginal constraints; one-dimensional filter; signal dependent time-frequency kernels; signal filtering; simulations; spectral resolution; Array signal processing; Design methodology; Filtering; Frequency domain analysis; Kernel; Nonlinear filters; Signal design; Signal processing; Signal resolution; Time frequency analysis;
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1992., Proceedings of the IEEE-SP International Symposium
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-0805-0
DOI :
10.1109/TFTSA.1992.274227
