Title :
Complete parametrization of synthesis in multidimensional perfect reconstruction FIR systems
Author_Institution :
Dept. of Math. & Stat., Oakland Univ., Rochester, MI, USA
Abstract :
Many problems in FIR filter banks, via the method of polyphase representation, can be characterized by their transfer matrices. In the case of multidimensional (MD) FIR filter banks, the resulting transfer matrices have Laurent polynomial entries in several variables. For a given analysis filter bank, this method produces a multi-input multi-output (MIMO) system (e.g. an oversampled filter bank). Since such a system does not have a unique perfect reconstruction (PR) pair in general, there exists a certain degree of freedom in designing a synthesis system to make the overall system a PR system. In this paper, for a given analysis system, the author gives a complete parametrization of all the synthesis systems that ensure perfect reconstruction of inputs, which gives us a space to search for an optimal synthesis system. This involves an adaptation of Schreyer´s algorithm to carry out syzygy computations with Laurent polynomials
Keywords :
FIR filters; MIMO systems; filtering theory; multidimensional signal processing; polynomial matrices; transfer function matrices; FIR filter banks; Laurent polynomials; MIMO system; Schreyer algorithm; multi-input multi-output system; multidimensional FIR systems; multidimensional filter banks; optimal synthesis system; oversampled filter bank; perfect reconstruction FIR systems; polyphase representation; synthesis parametrization; transfer matrices; Delay; Filter bank; Filtering; Finite impulse response filter; MIMO; Matrix decomposition; Multidimensional systems; Polynomials; Signal processing algorithms; Signal synthesis;
Conference_Titel :
Circuits and Systems, 1999. ISCAS '99. Proceedings of the 1999 IEEE International Symposium on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-5471-0
DOI :
10.1109/ISCAS.1999.777506