This paper presents analytical and Monte Carlo results for a stochastic gradient adaptive scheme that tracks a time-varying polynomial Wiener system [i.e., a linear time-invariant (LTI) filter with memory followed by a time-varying memoryless polynomial nonlinearity]. The adaptive scheme consists of two phases: 1) estimation of the LTI memory using the LMS algorithm and 2) tracking the time-var...

While the noise reduction performance of the Generalized Sidelobe Canceller (GSC) depends on the validity of a priori assumptions about the signal model, the recently developed multi-channel Wiener filter technique does not rely on any such a priori information. This provides a potential benefit of the latter over GSC. However, both techniques also rely on a speech detection algorithm. In this ...

Adaptive filtering has been an enabling technology and has found ever-increasing applications in various state-of-the-art communication systems. Traditionally, adaptive filtering has been developed based on the Wiener or minimum mean square error (MMSE) approach, and the famous least mean square algorithm with its low computational complexity readily meets the fast real-time computational const...

In this paper, a residual echo cancellation method is proposed that uses an estimation of the minimum mean-square error (MMSE) based on a statistical model of a speech signal and an echo signal. After the suppression of the echo signal based on the adaptive filter, residual echo is further reduced by the proposed MMSE estimator and the results are compared with the conventional Wiener filter ba...

environment and which incorporates the use This paper extends and of a Wiener filter was described in [l]. By complements previous research we have performed on the performance of nonadaptive narrowband suppression filters when used in cellular CDMA overlay situations. In this paper, an adaptive LMS filter is applied to cellular CDMA overlay situations in order to reject narrowband duction: In ...

In this paper an efficient preprocessing module has been described which focuses on building a trademark database that can be used for developing a trademark retrieval system. The preprocessing module focuses on noise removal from the trademark images using an adaptive filtering technique using Wiener filters, followed by Karhunen-Loève Transform that makes the trademark search process rotation...

Nets and filters are important conclusions of functional spaces which have got variety of applications in data transmission. Mathematical modeling of the input and output in wiener filter can result in control of noise during data transmission. We have unscrupulously applied least mean square theorem for optimal control in noise.

An efficient adaptive predistortion technique is proposed to compensate linear or nonlinear distortions caused by a high-power amplifier (HPA) with memory in OFDM communication systems. Previous adaptive predistortion techniques, based on Volterra series, are not suitable for real-time implementation due to high computational burden and slow convergence rate. In the proposed approach, the memor...