The finite impulse response filters are inherently stable and have linear phase response property. The main drawback of these filters is lies in requirement of higher orders for similar magnitude response compared to Infinite Impulse response filters. Also the amount of computational complexity needed for the implementation of the filter, especially for the filters with narrow transition band i...

The paper investigates the effectiveness of four projection methods of finite response function (FIR) to infinite response function (IIR) filters. This is done in the scope of a linear physiological model developed for functional Magnetic Resonance Imaging (fMRI). Of the four methods the Steiglitz-Mcbride algorithm provided the best fit. A new method is also proposed where a regularization term...

Manuscript received September 21, 1998. Manuscript revised January 6, 1999. † The authors are with Chiba Institute of Technology, Narashino-shi, 275-0016 Japan. †† The author is with Kogakuin University, Hachiouji-shi, 1920015 Japan. SUMMARY This paper proposes a method of improving the accuracy of the attenuation constant estimate obtained by using the crossspectral technique. In the cross-spe...

Simple computer modeling of impulse responses for small rectangular rooms is typically based on the image source method, which results in an impulse response with very high time resolution. Image source method is easy to implement, but simulated impulse responses are often a poor match to measured impulse responses because descriptions of sources, receivers, and room surfaces are often too idea...