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transform domain adaptive algorithm

The Wavelet Transform-Domain LMS Adaptive Filter Algorithm with Variable Step-Size

The Wavelet Transform-Domain LMS Adaptive Filter Algorithm with Variable Step-Size

... Fourier transform (DFT) and the discrete cosine transform (DCT), in order to pre-whiten the input data and speed up filter convergence [6], [7], and ...wavelet transform domain least mean ...

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DIGITAL IMAGE RESTORATION BY USING THE JOINT STATISTICAL MODEL

DIGITAL IMAGE RESTORATION BY USING THE JOINT STATISTICAL MODEL

... an adaptive hybrid space-transform domain is established, which offers a powerful mechanism of combining local smoothness and nonlocal self-similarity simultaneously to ensure a more reliable and ...

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Image coding using wavelet transform and adaptive block truncation coding

Image coding using wavelet transform and adaptive block truncation coding

... 3.2 3.3 4 Image coding Using Adaptive Block Truncation Coding in the Wavelet Transform Domain 46 3.2.1 Monochrome Image Compression Algorithm 47 3.2.2 Color Image Compression Algorithm 4[r] ...

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An active noise control algorithm with gain and power constraints on the adaptive filter

An active noise control algorithm with gain and power constraints on the adaptive filter

... Fourier transform (FFT) used, the required convolutions become ...FFT domain by zeroing out the low-frequency components, preventing adaptation at those ...the adaptive filter input vector x(m) is ...

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The generalized frequency domain adaptive filtering algorithm as an approximation of the block recursive least squares algorithm

The generalized frequency domain adaptive filtering algorithm as an approximation of the block recursive least squares algorithm

... of adaptive filters in communication ...frequency-domain adaptive filtering (GFDAF) algorithm are required for satisfactory convergence ...GFDAF algorithm is rigorously derived as an ...

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Image denoising with morphology- and size-adaptive block-matching transform domain filtering

Image denoising with morphology- and size-adaptive block-matching transform domain filtering

... 3D transform in BM3D to ...spatially adaptive itera- tive singular-value thresholding (SAIST), this method can achieve better denoised results in higher noise level situations, but it is only partially ...

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PERFORMANCE ANALYSIS OF DUAL CHANNEL SPEECH ENHANCEMENT METHOD WITH DCT AND HADAMARD TRANSFORMS USING NORMALIZED LATTICE RECURSIVE LEAST SQUARE ALGORITHM

PERFORMANCE ANALYSIS OF DUAL CHANNEL SPEECH ENHANCEMENT METHOD WITH DCT AND HADAMARD TRANSFORMS USING NORMALIZED LATTICE RECURSIVE LEAST SQUARE ALGORITHM

... enhancement algorithm is proposed with the use of adaptive filter using Normalized Lattice Recursive least square (NLRLS) ...algorithm. Adaptive filter ...time domain to frequency ...

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Delay Spoofing Reduction in GPS Navigation System based on Time and Transform Domain Adaptive Filtering

Delay Spoofing Reduction in GPS Navigation System based on Time and Transform Domain Adaptive Filtering

... an adaptive filter under certain circumstances can be designed to reduce interference ...using adaptive filters to eliminate interference is to obtain an estimate of interfering signal and subtract that ...

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Performance Comparison of Transform Domain Adaptive Filters

Performance Comparison of Transform Domain Adaptive Filters

... time domain like least mean square (LMS) and is variants, which are mostly used due to their computational simplicity and ...in adaptive filters, But, LMS is not considered good when we talk about long echo ...

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Frequency-Domain Adaptive Algorithm for Network Echo Cancellation in VoIP

Frequency-Domain Adaptive Algorithm for Network Echo Cancellation in VoIP

... frequency-domain adaptive filtering such as the fast-LMS (FLMS) algorithm [17] o ff ers an attrac- tive means of achieving e ffi cient ...time-domain adaptive filtering algorithms, ...

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Genetic algorithm based optimization for terahertz time domain adaptive sampling

Genetic algorithm based optimization for terahertz time domain adaptive sampling

... The broadband and coherent THz light emitted from a photoconductive antenna or an electro-optic crystal has an ultra-short pulse width. This results in the clustering feature that most of the information is compressed in ...

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Optimal Step Size for the Adaptive Least-Mean Squares Algorithm Applied in the Fractional Fourier Transform Domain for Efficient Signal Estimation in Interference and Noise

Optimal Step Size for the Adaptive Least-Mean Squares Algorithm Applied in the Fractional Fourier Transform Domain for Efficient Signal Estimation in Interference and Noise

... We present simulation examples to demonstrate the validity of Eq. (13) for computing the optimum step size of the LMS algorithm in the FrFT space. The first example is a binary phase shift keying (BPSK) signal in ...

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A Review on Transform Domain Adaptive Filters

A Review on Transform Domain Adaptive Filters

... with transform domain normalized least mean square (TDNLMS) and other variants of LMS ...TDNLMS algorithm is now named as regularized transform domain normalized LMS (R-TDNLMS) ...

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A Novel Watermarking Technique Based on the Discrete Wavelet Transform and Modified SVD

A Novel Watermarking Technique Based on the Discrete Wavelet Transform and Modified SVD

... blind adaptive audio watermarking algorithm based on singular value decomposition (SVD) in the discrete wavelet transform domain using synchronization ...our algorithm, a watermark is ...

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Fourier Theoretic Probabilistic Inference over Permutations

Fourier Theoretic Probabilistic Inference over Permutations

... The identity management problem has been addressed in a number of previous works, and is closely related to, but not identical with, the classical data association problem of maintaining correspon- dences between tracks ...

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Investigation of Adaptive Watermarking Techniques

Investigation of Adaptive Watermarking Techniques

... In practice, a watermarked object may be altered either on purpose or accidentally, so the watermarking system should till be able to detect and extract the watermark. Obviously, the distortions are limited to those that ...

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Forecasting Outlier Occurrence in Stock Market Time Series Based on Wavelet Transform and Adaptive ELM Algorithm

Forecasting Outlier Occurrence in Stock Market Time Series Based on Wavelet Transform and Adaptive ELM Algorithm

... The H in the above equation is the Moore-Penrose (MP) generalized inverse of matrix H, see [18] for more discussion. The minimum norm LS solution is unique and leads to smallest norm along all the LS solutions. The MP ...

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Stack run adaptive wavelet image compression

Stack run adaptive wavelet image compression

... an adaptive wavelet transform based image coder which employs a stack-run representation [14] for quantized transform coefficients in order to benefit from the intra-subband ...compression ...

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Noise Reduction in Video Sequences – The State of Art and the Technique for Motion Detection

Noise Reduction in Video Sequences – The State of Art and the Technique for Motion Detection

... surfacelet transform provides motion selective subband decomposition for video signals and it is low redundancy ...resolution algorithm is not dependent on explicit motion estimation [18], provides ...

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Wavelet Video Denoising with Regularized Multiresolution Motion Estimation

Wavelet Video Denoising with Regularized Multiresolution Motion Estimation

... Next, we compare our proposed denoising approach with three recently published methods: two wavelet-based video denoising schemes [5, 12] and one non-wavelet nonlinear approach [22]. Selesnick and Li [12] generalized the ...

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