نتایج جستجو برای: subband adaptive filter

تعداد نتایج: 310293  

2004
R. Din

AbJsract In a recent publication a new family of adaptive structures with critical sampling of the subband signals, which yields exact modeling of FIR systems, was obtained. In this paper an algorithm based on the recursive least-squares (RLS) algorithm is derived for the updating of the adaptive coefficients of this new subband structure. An efficient implementation o f the resulting structure...

G. Askari and S. Gazor, H. Farzanehfard,

In recent years, active filters have been considered and developed for elimation of harmonics in power networks. Comparing with passive, they are smaller and have better compensating characteristics and resistance to line distortions. In this paper, a novel idea based on adaptive filter theory in presented to develop an active filter to eliminate the distortions of an arbitrary signal. Using th...

2005
Viktor Bale Stephan Weiss

This paper introduces the subband method of performing adaptive identification and analytic inversion of broadband MIMO channels. It shows that the techniques can potentially lower the computational cost while improving the performance for highly frequency-selective channel with a long impulse response. It covers subband adaptive identification and shows two methods to invert a broadband MIMO c...

2007
Koen Eneman Marc Moonen Ian Proudler

|Modelling acoustic impulse responses with lengths up to 250 ms is required for high quality echo cancellation in strongly reverberating environments , leading to FIR adaptive lters with several thousands of taps. Classical LMS-based solutions then clearly fail as they exceed the computational capabilities of present-day DSPs. Cheaper alternative solutions have been proposed and are mainly base...

Journal: :international journal of electrical and electronics engineering 0
mahdi fathi department of aerospace engineering, malek ashtar university of technology nematollah ghahramani faculty/ department of electrical engineering, malek ashtar university of technology mohammad ali shahi ashtiani faculty/ department of aerospace engineering, malek ashtar university of technology mohsen fallah faculty/ department of electrical engineering, malek ashtar university of technology ali mohammadi faculty/department of aerospace engineering, malek ashtar university of technology

against the range-dependent accuracy of the tracking radar measurements including range, elevation and bearing angles, a new hybrid adaptive kalman filter is proposed to enhance the performance of the radar aided strapdown inertial navigation system (ins/radar). this filter involves the concept of residual-based adaptive estimation and adaptive fading kalman filter and tunes dynamically the fil...

2008
Muzaffer DOĞAN Ömer N. GEREK

Block Wavelet Transforms (BWTs) are orthogonal matrix transforms that can be obtained from orthogonal subband filter banks. They were initially generated to produce matrix transforms which may carry nice properties inheriting from wavelets, as alternatives to DCT and similar matrix transforms. Although the construction methodology of BWT is clear, the reverse operation was not researched. In ce...

2003
G. Charith K. Abhayaratne

The design and performance analysis of wavelet transforms containing an adaptive low pass filter using the lifting framework is presented. Such transforms are useful in applications where it is undesirable to have smoothing artifacts in the low pass signal and it requires the signal singularities, sharp transitions and image edges to be left intact for further analysis and better visual quality...

2003
Hai Q. Dam Sven Nordholm Nedelko Grbić Hai H. Dam

A novel adaptive beamformer employing recursively updated soft constraints for acoustic speech enhancement is proposed. The beamformer operates in a subband structure to allow a time-frequency operation for each channel. Consequently, the processing performed can be viewed as a combined weighted spatial,frequency and temporal filter. The major benefit of the new recursive soft constrained beamf...

Journal: :EURASIP Journal on Advances in Signal Processing 2005

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