Decision feedback equalizers are commonly employed to reduce the error caused by intersymbol interference. Here, an adaptive decision feedback equalizer is presented with a new adaptation algorithm. The algorithm follows a block-based approach of normalized least mean square (NLMS) algorithm with set-membership filtering and achieves a significantly less computational complexity over its conven...

The normalized least-mean-square (NLMS) adaptive filter is widely used in system identification. In this paper, we develop an optimized NLMS algorithm, in the context of a state variable model. The proposed algorithm follows a joint-optimization problem on both the normalized step-size and regularization parameters, in order to minimize the system misalignment. Consequently, it achieves a prope...

This paper provides analysis and real-time performance comparisons on modified application from two-microphone classic adaptive noise cancelling and beamforming methods. Experiments are processed by software implementation using LabVIEW in a real environment, which is typical indoor office with moderate reverberation condition. The speech performances are analyzed in time and frequency domains ...

In adaptive FIR lters, the least-mean-square (LMS) adaptive algorithm uses the a priori error signal to update the lter coeecients. In this paper , we study the forms and properties of a pos-teriori adaptive lter updates in a general context. We provide a technique by which the stability of an adaptive lter's coeecient update can be easily analyzed using the relationship between the a priori an...

GPS signals are susceptible to interference levels above the inherent processing gain of the receiver. In this paper an innovative approach to cancel narrowband interference is presented. An Adaptive Temporal Filter (ATF) based on a Transversal form that pre-filters the interference before correlation is studied. The adaptive algorithm used to adjust the filter coefficients is the RLS algorithm...

The least mean fourth (LMF) algorithm has several stability problems. Its stability depends on the variance and distribution type of the adaptive filter input, the noise variance, and the initialization of filter weights. A global solution to these stability problems was presented recently for a normalized LMF (NLMF) algorithm. The analysis is done in context of adaptive noise cancellation with...

An algorithm is introduced that performs stereophonic acoustic echo cancellation (SAEC) for systems using pairwise panning of a single monophonic source to provide the effect of spatialisation. The technique exploits the inherent high correlation between the loudspeaker signals, unlike other general SAEC techniques, which try to utilise any small uncorrelated features in the signals. The algori...

In this paper, adaptive pilot-aided channel estimation for orthogonal frequency-division multiplexing (OFDM) transmission is addressed. For this purpose, instead of a theoretically optimum two-dimensional (2D) filter, two consecutive one-dimensional (2× 1D) filters are applied. In particular, three algorithms for the first 1D step are compared, namely normalized least-mean-squares (NLMS), norma...

Full-duplex unmanned aerial vehicle (UAV) communication systems are characterized by mobility, so the self-interference (SI) channel characteristics change over time constantly. In full-duplex UAV systems, difficulty is to eliminate SI in time-varying channels. this paper, we propose a pilot-aid digital cancellation (SIC) method. First, pilot inserted into data sequence uniformly, and modeled a...