In this paper, a wavelet packet transform wideband beamforming (WPTWB) is proposed. The proposed method employs wavelet packet analysis and synthesis filter banks, replacing the traditional analysis and synthesis filt...
详细信息
ISBN:
(纸本)9798350350920
In this paper, a wavelet packet transform wideband beamforming (WPTWB) is proposed. The proposed method employs wavelet packet analysis and synthesis filter banks, replacing the traditional analysis and synthesis filter banks used in subband beamforming, to achieve the decomposition and reconstruction of wideband signals. And the algorithm leverages the inherent multiresolution characteristics of the wavelet packet transform to capture both the nuanced details and broader generalizations present in broadband signals. Simulation experiments demonstrate the anti-interference ability and accuracy of the algorithm.
We propose an improved statistical characterization of the field of wavelet coefficients of natural images. Based on this characterization, we introduce Morphological Representation of wavelet Data (MRWD), a novel cod...
详细信息
ISBN:
(纸本)0780324323
We propose an improved statistical characterization of the field of wavelet coefficients of natural images. Based on this characterization, we introduce Morphological Representation of wavelet Data (MRWD), a novel coding framework for both image and video coding applications. MRWD departs from existing wavelet-based coders in its use of a radically different set of primitive operations -non-linear, morphological operations-, for efficiently encoding the wavelet data field. Simulation results are very encouraging: a preliminary algorithm based on the morphological data structure is able to achieve about 0.5 dB of gain in SNR over Shapiro's state-of-the-art zerotree-based wavelet coder [1] at a coding rate of 1 bpp for the 'Lenna' image.
Our goal in this article is to present a quantitative study about speech recognition and the inherent problems of its applications and the computer processing. Our approach is characterized by independent speaker and ...
详细信息
ISBN:
(纸本)0819425915
Our goal in this article is to present a quantitative study about speech recognition and the inherent problems of its applications and the computer processing. Our approach is characterized by independent speaker and we made use of pre-processing the concept as wavelets Transform and as pattern recognition an Artificial Neural Network (ANN - Multilayer Perceptron -Backpropagation Algorithm).
In order to realize the feedback control for variable polarity plasma are weld (VPPAW) formation in the weld process, the feature geometrical size of the keyhole must be extracted. A multiscale edge detection based on...
详细信息
ISBN:
(纸本)0819436828
In order to realize the feedback control for variable polarity plasma are weld (VPPAW) formation in the weld process, the feature geometrical size of the keyhole must be extracted. A multiscale edge detection based on the wavelet transform is equivalent to finding the local maxima of a wavelet transform. With the properties of multiscale edge through the wavelet theory, the edge points were detected by getting the maximum modulus of the gradient vector in the direction towards which the gradient vector points in the image plane. The edge points with a large module value correspond to the sharper intensity variation of the image. At coarse scales, the local maxima of modules have different positions than at the fine scales and only detected the sharp edge. At fine scale, there are many maxima created by the image noise. We must integrate this multiscale information to look for the best scale where the edges are well discriminated from noises. At last, A new method of peak analysis for threshold selection is provided. It is based on the wavelet transform which provides a multiscale analysis of the information of the histogram. We show that the detection of the zero-crossing or the local extrema of a wavelet transform of the histogram gives a complete characterization of the peaks in the histogram. Many experiments show these ways are effective for the keyhole image to get the geometry parameters of the keyhole in the real-time imageprocessing.
Recent developments in Pulse-Coupled Neural Networks (PCNN) techniques provide efficiency in edge and target extraction [ 1]. The detection of targets is facilitated by PCNN multi-scale image factorization. But noise ...
详细信息
ISBN:
(纸本)0819444081
Recent developments in Pulse-Coupled Neural Networks (PCNN) techniques provide efficiency in edge and target extraction [ 1]. The detection of targets is facilitated by PCNN multi-scale image factorization. But noise is still the enemy of PCNN. An efficient new Pulse-Coupled Neural Networks technique has been proposed in combination with the wavelet theory. The new Pulse-Couple Neuron Network wavelet (PCNNW) is based on multi-resolution decomposition for extracting the main features of the images by eliminating the noise. In addition, the wavelet coefficients provide the Pulse-Couple Neuron Network (PCNN) supplemental discrimination and lead to characteristic sets of numbers useful in identifying image factors of interest. The efficiency of the method has been tested and compared with other PCNN denoising methods.
作者：
Lu, JApple Computer
Compression and Signal Processing Dept. MS 302-3MT Cupertino CA 95014 2 Infinite Loop United States
This paper studies the algorithms that reconstruct a signal from its wavelet extrema representation. We show that the existing reconstruction algorithms are inadequate in assuring a consistent reconstruction. We furth...
详细信息
ISBN:
(纸本)0819425915
This paper studies the algorithms that reconstruct a signal from its wavelet extrema representation. We show that the existing reconstruction algorithms are inadequate in assuring a consistent reconstruction. We further propose a method that can be used with a number of existing algorithms to guarantee a consistent reconstruction. The new method provides a rigorous way to prevent artifacts resulting from the spurious wavelet extrema in the reconstructed signal.
The discrete wavelet transform (DWT) gives a compact multiscale representation of signals and provides a hierarchical structure for signalprocessing. It has been assumed the DWT can fairly well decorrelate real-world...
详细信息
ISBN:
(纸本)0780362934
The discrete wavelet transform (DWT) gives a compact multiscale representation of signals and provides a hierarchical structure for signalprocessing. It has been assumed the DWT can fairly well decorrelate real-world signals. However a residual dependency structure still remains between wavelet coefficients. It. has been observed magnitudes of wavelet coefficients are highly correlated, both across the scale and at neighboring spatial locations. In this paper we present, a wavelet folding technique, which folds wavelet coefficients across the scale and removes the across-the-scale dependence to a larger extent. It produces an even more compact signal representation and the energy is more concentrated in a few large, coefficients. It has a great potential in applications such as image compression.
The developments in wavelet theory have given rise to the wavelet thresholding method, for extracting a signal from noisy data [1,2]. Multiwavelets, wavelets with several scaling functions, have recently been introduc...
详细信息
ISBN:
(纸本)0780376226
The developments in wavelet theory have given rise to the wavelet thresholding method, for extracting a signal from noisy data [1,2]. Multiwavelets, wavelets with several scaling functions, have recently been introduced and they offer simultaneous orthogonality, symmetry and short support;which is not possible with ordinary wavelets, also called scalar wavelets [3]. This property makes multiwavelets more suitable for various signalprocessingapplications, especially compression and denoising. Like scalar wavelets, multiwavelets can be realized as filterbanks, however the filterbanks are now matrix-valued;requiring two or more input streams, which can be accomplished by prefiltering. In this paper, several thresholding methods to be used with different multiwavelets for image denoising are presented. The performances of multiwavelets are compared with those of scalar wavelets. Simulations reveal that multiwavelet based image denoising schemes outperform wavelet based methods both subjectively and objectively.
EMG signals can be considered as the sum of scaled and delayed versions of a single prototype. We have applied the wavelet Transform choosing the mother wavelet so as to match the known shape of the basic component, a...
详细信息
ISBN:
(纸本)0819425915
EMG signals can be considered as the sum of scaled and delayed versions of a single prototype. We have applied the wavelet Transform choosing the mother wavelet so as to match the known shape of the basic component, and have compared the results obtained with different wavelets. The results in terms of MUAP detection and resolution are very encouraging even in the presence of asymmetric shape and high levels of additive noise.
In automatic analysis of the time-average digital speckle interferogram, the great challenge is to get proper intensity variation between different fringes and smoothness in the line profile of intensity distribution,...
详细信息
ISBN:
(纸本)9780819486783
In automatic analysis of the time-average digital speckle interferogram, the great challenge is to get proper intensity variation between different fringes and smoothness in the line profile of intensity distribution, so as it approaches the governing Bessel function/map. An imageprocessing scheme based on wavelet denoising and morphological operation has been investigated which is very effective in reducing speckle index, width reduction of the bright fringes and in getting proper line profile for intensity distribution. Improvement in signal to noise ratio (i.e. decrease in speckle index) upto 28 times has been observed.
暂无评论