in this paper, effect of a single narrow-band interference (NBI) on bit error rate (BER) performance for a binary phase shift keying (BPSK) synchronous direct-sequence code-division multiple access (DS CDMA) communication system operating in a frequency nonselective Rayleigh fading channel is analyzed. Second-order adaptive infinite impulse response (IIR) notch filters with plain gradient algor...

Algorithms for query processing in Wireless Sensor Networks (WSNs) should be able to handle resource limitations such as memory and battery life. Adaptability has been explored as an alternative approach when dealing with these conditions. Adaptive algorithms can adjust their behavior in response to specific events that take place during data processing. In this paper, we propose an adaptive al...

Combinatorial auction, where bidders can bid on bundles of items, has been the subject of increasing interest in recent years. Although much research work has been conducted on combinatorial auctions, most has been focusing on the winner determination problem. A largely unexplored area of research in combinatorial auctions is the design of bidding strategies, in particular, those that can be us...

We may not be able to make you love reading, but a rapid introduction to adaptive filtering will lead you to love reading starting from now. Book is the window to open the new world. The world that you want is in the better stage and level. World will always guide you to even the prestige stage of the life. You know, this is some of how reading will give you the kindness. In this case, more boo...

An adaptive tracking filter for maneuvering targets is developed. The approach is based on matched filtering of the innovations sequence. Analytical solutions based on the invariant subspace method for time-invariant kinematic models along with the corresponding steady-state Kalman filter kernels are derived. Asymptotic and finite-memory operating characteristics are deduced. The proposed adapt...

This paper presents a novel parallel recursive least squares (RLS) second-order adaptive Volterra filter (PAVF) to alleviate computational work. The adaptive Volterra filter (AVF) corresponding to the nonlinear characteristics is attractive due to the linear relationship between its input and output signals [1]. However, the extensive computational work of AVF limits its practical use, particul...

While the main objective of adaptive Filter-and-Sum beamforming is to obtain an enhanced speech signal for subsequent processing like speech recognition, we show how speaker localization information can be derived from the filter coefficients. To increase localization accuracy, speaker tracking is performed by non-linear Bayesian state estimation, which is realized by sequential Monte Carlo met...

This paper proposes an adaptive fuzzy wavelet filter that is based on a fuzzy inference system for enhancing speech signals and improving the accuracy of speech recognition. In the last two decades, the basic wavelet thresholding algorithm has been extensively used for noise filtering. In the proposed method, adaptive wavelet thresholds are generated and controlled according to the fuzzy rules ...

Abstract The wireless channel is characterized by large statistical variations, which results in wide variations in its response. If the system is designed to meet the worst conditions of the channel, the throughput will be very small and the efficiency will degrade. On the other hand, if the system is designed to track the channel variations, it will yield a larger throughput. In this work, we...

This paper presents first and second order convergence analysis of the sparsity aware l0-RLS adaptive filter. The theorems 1 and 2 state the steady state value of mean and mean square deviation of the adaptive filter weight vector.