The adaptive Volterra filter has been successfully applied in nonlinear acoustic echo cancellation (AEC) systems and nonlinear line echo cancellation systems, but its applications are limited by its required computational complexity and slow convergence rate, especially for systems with long memory length. In this paper, we first apply a more general nonlinear filter, the function expansion non...

A novel generalized play operator-based (GPO-based) nonlinear adaptive filter is proposed to model rate-dependent hysteresis nonlinearity for smart actuators. In the proposed filter, the input signal vector consists of the output of a tapped delay line. GPOs with various thresholds are used to construct a nonlinear network and connected with the input signals. The output signal of the filter is...

Textural features are one of the most important types of useful information contained in images. In practice, these features are commonly masked by noise. Relatively little attention has been paid to texture preserving properties of noise attenuation methods. This stimulates solving the following tasks: (1) to analyze the texture preservation properties of various filters; and (2) to design ima...

In this paper we introduce a simple, computationally inxepentsive, adaptive recursive structure for enhancing bandpass signals highly corrupted by broad-band noise. This adaptive algorithm, enhancing input signals, enables us to estimate the center frequency and the bandwidth of the input signal. In addition, an important feature of the proposed structure is that the conventional bias existing ...

An adaptive approach for dynamic voltage scheduling on processors is presented based on workload prediction by filtering a trace history. The effects of update frequency and filtering strategy on the energy savings is analyzed. A performance hit metric is defined and techniques to minimize energy under a given performance requirement are outlined. Our results demonstrate that up to two orders o...

An adaptive Divided Difference filter for joint estimation of parameters and states of a nonlinear system has been proposed in this work. The adaptive filter is proposed for improved estimation specifically in the situation when knowledge about the process noise statistics is unavailable. The innovation sequence has been employed for adaptation of the unknown process noise covariance. The evolv...

In this communication we address the problem of detection and tracking of moving objects for surveillance or occupant detection systems. The primary goal in this framework is the motion estimation of the extracted foreground. To overcome the drawbacks characteristic of classical block matching techniques, this contribution presents a new feature based hierarchical locally adaptive multigrid (HL...

Abstract: Traditional 2-D Discrete wavelets transform (DWT) implemented by separable 1-D transform in horizontal and vertical directions does not take image orientation features in a local window into account. However, the lifting scheme provides a general and flexible tool for the construction of wavelet decompositions and perfect reconstruction filter banks. To improve it, we propose to intro...