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We propose an adaptive combination of a proportionate normalized least-mean-square with individual activation factors (IAF-PNLMS) and a normalized mean-square (NLMS) for the sparse system. The IAF-PNLMS has the fastest initial convergence rate among the algorithms for the sparse system. The NLMS has a low misalignment for various systems. To obtain both fast convergence rate and a low misalignment,...
The stability and performance of the normalized subband adaptive filter (NSAF) algorithm is influenced by the regularization parameter. However, in various noise environments, the regularization parameter is difficult to be determined. The basic idea of this paper is to eliminate the effects of the noise in filter estimation. Simulation results show the proposed method has valid results in various...
Direct frequency estimator (DFE) has recently been proposed for unbiased frequency estimation of a real tone in white noise. This paper proposes to improve the performance of the DFE using a convex combination of two DFEs. Each DFE is adapted independently to retain its performance advantage, and the estimation results are then adaptively combined for optimal performance. The convex combination scheme...
In this paper, we proposed an algorithm for estimating the power of the system noise for adaptive filters. The proposed algorithm is developed by using the relationship between mean square error (MSE) and excess MSE (EMSE). Recursive calculations for the MSE and the EMSE are introduced, and an estimated power of system noise is derived by using the values. Through computer simulations, we show that...
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