Special field
digital signal processing, e.g., adaptive signal processing
An example of research subjects
A recursive least-squares (RLS) algorithm is a well-known and important filter in adaptive signal processing. Our laboratory proposed an RLS filter which operates stably under even no persistent exciting conditions. A leaky RLS filter obtained by a proposed criterion is interpreted as an improved procedure of a total least-squares method. An application example of a speech enhancement system was shown with this interpretation.
Reference
E. Horita, K. Sumiya, H. Urakami, and S. Mitsuishi, “A Leaky RLS Algorithm: Its Optimality and Implementation,” IEEE Transactions on Signal Processing, vol.52, pp.2924-2932, October 2004.
Other research subjects are introduced as follows
- Adaptive characteristic extraction of speech signals,
- Time-space signal processing by using an adaptive filter.
