Optimizing FIR Approximation for Discrete-Time IIR Filters (2009)
Yutaka Yamamoto, Masaaki Nagahara, Yoko Koyanagi
Abstract—Finite-impulse response (FIR) filters are often preferred to infinite-impulse response (IIR) filters because of their various advantages in respect of stability, phase characteristic,...
Stability of Signal Reconstruction Filters via Cardinal Exponential Splines (2009)
Masaaki Nagahara, Yutaka Yamamoto, Pramod P. Khargonekar
Abstract: There is a new trend in digital signal processing. It is gradually recognized that while the processing is done in the digital domain, its performance must be measured in the analog domain....
Optimal Wavelet Expansion via Sampled-Data Control Theory (2008)
Kenji Kashima, Student Member, Yutaka Yamamoto, Masaaki Nagahara
Abstract—Discrete wavelet transform is usually executed by the so-called pyramid algorithm. It, however, requires a proper initialization, i.e., expansion coefficients with respect to the basis of...
Optimal Wavelet Expansion via Sampled-Data Control Theory (2007)
Kenji Kashima, Yutaka Yamamoto, Masaaki Nagahara
Wavelet theory provides a new type of function expansion and and has found many applications in signal processing. Discrete wavelet transform of a signal x(t) in L 2 (R) is usually computed by the...
Approximating Sampled-Data Systems with Applications to Digital Redesign (2007)
Yutaka Yamamoto, Masaaki Nagahara
Despite the existence of methods for a direct optimal design of sampled-data control systems, it is often desired to approximate sampled-data systems with discrete-time ones. This occurs frequently...
Yutaka Yamamoto, Masaaki Nagahara, Hisaya Fujioka
Multirate signal reconstruction and filter design