This paper is concerned with parameter estimate of deterministic autoregressive moving average (DARMA) systems uniform quantized output observations. By designing system input signals, the recursive least-squares algorithm designed weights proved to have convergence properties under signal quantizer. The authors analyse size quantization error, which implies that can be achieved when error sati...

A novel systematic framework of medical image analysis, weighted Fourier series (WFS) analysis is introduced. WFS is a combination of Fourier series and heat kernel smoothing. WFS effectively reduces the Gibbs phenomenon, improves the signal to noise ratio, and increases normality of the estimated errors in the WFS-based generalized linear models. In estimating the parameters of WFS, the least ...