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Abs@~ct-An algorithm is proposed for self-tuning optimal fixed-lag smoothing or filtering for hear discrete-time multivariable processes. A z-transfer function solution to the discrete multivariable estimation problem is first presented. This solution involves spectral factorization of polynomial matrices and assumes knodedge of the process parameters and(More)
This paper describes a new approach to finite-impulse (FIR) system identification. The method differs from the traditional stochastic approximation method as used in the traditional least-mean squares (LMS) family of algorithms, in which we use deconvolution as a means of separating the impulse-response from the system input data. The technique can be used(More)
Field Programmable Gate-Arrays (FPGAs) are increasingly becoming widespread in the area of communications and signal processing. This paper investigates the implementation of an adaptive decorrelator based on two cross-coupled least-mean squares (LMS) algorithms. The device was designed using the rapid prototyping software developed by National Instruments(More)
This paper proposes a novel multi-microphone nonlinear neural network based switched Griffiths-Jim beamformer structure for speech enhancement. The main objective of this algorithm is to reduce real-world interference signals such as radio, television or computer fan noise from an acquired speech signal. The proposed algorithm improves the current design of(More)
There is a great need for speech enhancement in today's world due to the increasing demand for speech based applications. These applications vary from hearing-aids, hands-free telephony to speech controlled devices. The main goal is to minimize the interference from an acquired speech signal. The interference we considered here could be from any noise(More)
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