Design of linear phase paraunitary filter banks using an adaptive cascade lattice structure
Hinako Otsuki, Takayuki Nagai, Masaaki Ikehara
Abstract
Hinako Otsuki, Takayuki Nagai, Masaaki Ikehara
Abstract
M channel filter banks, which have perfect reconstruction and linear phase properties, have been studied extensively and several design methods have been addressed in the past. However, almost all of these methods require the nonlinear programming technique which contains some problems such as computational complexity, initial value and so on. In this paper, we propose a new design method of linear phase paraunitary filter banks. In our proposed method, we use an efficient least-mean-square-based adaptive algorithm to optimize the parameter, which minimizes the cost function, instead of using the nonlinear programming technique.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
M channel filter banks, which have perfect reconstruction and linear phase properties, have been studied extensively and several design methods have been addressed in the past. However, almost all of these methods require the nonlinear programming technique which contains some problems such as computational complexity, initial value and so on. In this paper, we propose a new design method of linear phase paraunitary filter banks. In our proposed method, we use an efficient least-mean-square-based adaptive algorithm to optimize the parameter, which minimizes the cost function, instead of using the nonlinear programming technique.
Key concepts: Linear phase, Cascade, Adaptive filter, Filter bank, Linear programming, Filter (signal processing), Algorithm, Nonlinear system