Showing papers by "Sigeru Omatu published in 1990"
5 citations
TL;DR: A new algorithm to the generalized minimum variance self-tuning controller to improve the tracking property of the output to the reference signal is proposed.
2 citations
TL;DR: In this article, an adaptive temperature control system is constructed based on the multi-variable self-tuning control (STC) theory, where the control input is determined by minimum variance control, which is to minimize the mean squared error between an actual output and a desired output.
1 citations
TL;DR: This paper proposes a new-type IIR-adaptive algorithm based on the orthogonalization method, considers the convergence of the algorithm, and verifies its effectiveness by simulation.
Abstract: Recently, for signal processing such as echo cancellation and equalization it is required to develop IIR-adaptive digital filters. This paper proposes a new-type IIR-adaptive algorithm based on the orthogonalization method, considers the convergence of the algorithm, and verifies its effectiveness by simulation. White's algorithm is one of IIR-adaptive algorithms reported thus far and Feintuch's algorithm is known as its approximation algorithm. This paper also derives an IIR-adaptive algorithm using both Feintuch's algorithm and the orthogonalization method.
First, it can be shown that a generalized algorithm (IIR-LI) of IIR-learning identification method based on previous heuristic methods can be derived using the idea of Feintuch's algorithm and the conjugate gradient method. Next, a new IIR-adaptive algorithm (IIR-AACG) based on the orthogonalization principle of the conjugate gradient method is presented. Further, by applying the orthogonalization method to a past input vector sequence we derive an IIR-Affine projection algorithm (IIR-AP). Finally, these algorithms are compared by computer simulation to verify the effectiveness of the orthogonalization method.