Real-time self-tuning deconvolution filter and smoother
- 27 March 1987
- journal article
- research article
- Published by Taylor & Francis in International Journal of Control
- Vol. 45 (3) , 969-985
- https://doi.org/10.1080/00207178708933781
Abstract
A new self-tuning deconvolution filter/smoother is presented. The algorithm runs in real time on a TMS32010 microprocessor. The filter/smoother employs a moving average of the innovations sequence to estimate the required signal. An application to speech processing and to the channel equalization problem is described.Keywords
This publication has 10 references indexed in Scilit:
- Crossassembler for the TMS32010 digital signal processorMicroprocessors and Microsystems, 1986
- Self-tuning filters and predictors for two-dimensional systems Part 1: AlgorithmsInternational Journal of Control, 1985
- Optimal self-tuning filtering, prediction, and smoothing for discrete multivariable processesIEEE Transactions on Automatic Control, 1984
- A transfer function approach to the linear discrete stationary filtering and the steady-state discrete optimal control problemsInternational Journal of Control, 1979
- White-noise estimators for seismic data processing in oil explorationIEEE Transactions on Automatic Control, 1977
- On positive real transfer functions and the convergence of some recursive schemesIEEE Transactions on Automatic Control, 1977
- A self-tuning filter for fixed-lag smoothingIEEE Transactions on Information Theory, 1977
- Channel Equalization Using a Kalman Filter for Fast Data TransmissionIBM Journal of Research and Development, 1974
- Automatic Equalization for Digital CommunicationBell System Technical Journal, 1965
- Extrapolation, Interpolation, and Smoothing of Stationary Time SeriesPublished by MIT Press ,1949