Hybrid Signal Processing via Sampled-data Control Theory

点击翻译按钮获取中文摘要

This project has established the design methodology for digital filters that makes analog performance optimal, based on sampled-data control theory. We have also successfully derived adaptation scheme for sampled-data filters. Major achievements include a) high-quality restoration from compressed audio sources, b) super-sonic reproduction from compact disc sources, c) a super-resolution method for image processing that reduces jaggy components, d) optimal construction of splines, e) design method for fractional-delay filters with applications to pitch-shifting. In particular, the algorithm is implemented into sound-processing LSI chips, and their cumulative production has reached 30 million chips. We have also placed an application to wavelets in a subsequent scope for the future.