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Recently, a multiband-structured subband adaptive filter (MSAF) algorithm was proposed to speed up the convergence of the normalized least-mean-square (NLMS) algorithm. In this letter, we extend this work and propose an improved multiband-structured subband adaptive filter (IMSAF) algorithm to increase the convergence speed of the MSAF, which can also be(More)
Previously, we proposed an improved multiband-structured subband adaptive filter (IMSAF) algorithm to accelerate the convergence rate of the MSAF algorithm. When the projection order and/or the number of subbands is increased, the convergence rate of the IMSAF algorithm improves at the cost of increased complexity. Thus, this paper proposes several(More)
Previously, a family of memory proportionate affine projection (MPAP) algorithms has been proposed by taking into account the “history” of the proportionate factors for sparse system identification. This paper presents a low-complexity implementation of this family of MPAP algorithms. Two most important ideas are used in the derivation of the(More)
This paper presents a new variable coefficients adaptive IIR notch filter for bass enchantment. The coefficients of the notch filter are controlled by an onset detector in order to obtain both fast convergence rate and low misadjustment. A single side-band (SSB) modulation is used to enhance the system robustness when the fundamental frequency is close to 0(More)
This letter presents a new lattice-form complex adaptive IIR notch filter to estimate and track the frequency of a complex sinusoid signal. The IIR filter is a cascade of a direct-form all-pole prefilter and an adaptive lattice-form all-zero filter. A complex domain exponentially weighted recursive least square algorithm is adopted instead of the widely(More)
In acoustic echo cancellation (AEC), frequency-domain adaptive filter (FDAF) algorithm is commonly used to improve the computational efficiency and the convergence rate. However, the choice of step size has to compromise between the convergence rate and the steady-state performance. A variable step-size algorithm was presented by Nitsch to tackle this(More)
The frequency-domain adaptive filter (FDAF) is widely used in echo cancellation systems due to its low complexity and fast convergence rate. However, the FDAF algorithm with a fixed step size exhibits a tradeoff among the convergence rate, steady-state misalignment, tracking ability, and robustness to near-end speech interferences. Several variable(More)