wavelet transform

The continuous wavelet transform (CWT) has been used to measure harmonics due to its excellent time-frequency character.

Wavelet transform has been used for pitch detection in real time . and two algorithms (multi-scale and single scale) are compared.

Chirplet transform is the general form of Fourier transform, short-time Fourier transform and Wavelet transform.

Meanwhile, wavelet transform idea is applied to this paper and a new wavelet de-noising method in OFDM channel estimation is proposed.

Conclusion Its remarkable features will enable wavelet transform to be of good prospects in the practice of medical image processing.

Conclusion The method that combines wavelet transform and shape filter can be used for ECG denoising during spaceflight.

Wavelet transform zero-crossing detection method can be used for the coding and recognition of human iris.

Different sequential morphological wavelet transform and processing for high-frequency coefficient were used to enhance biochip images.

And the wavelet transform itself is of so long basic functions that serious ghost appears in the decompressed images at low bit rate.

The method of digital filter and wavelet transform were also used for analyzing and dealing with the signal.

Apparently they must have done something about it before they figured out the wavelet transform. . . ?

The VLSI implementation of the CWT(continuous wavelet transform) can be divided into two methods: time-domain and frequency-domain.

And then, quincunx sampling lifting scheme wavelet transform was used to fuse the images of polarization feature and total intensity.

Stationary wavelet transform and the mask of image were used to reduce truncation artifacts, and the experimental results indic. . .

Wavelet transform is a signal processing techniques to overcome the other deficiencies of a signal analysis method.

Wavelet transform was used to obtain the position, thickness and speeds of the geologic strata.

the fourth chapter discusses the huffman coding method , anticipating coding method and wavelet transform coding method used in this paper.

Signal and noise shows different properties through wavelet transform, so wavelet can be used to separate the signal and the noise.

The existence of an orbit maneuver is judged by observing the trend of the wavelet transform result.

It is pointed out that continuous wavelet transform is useful in weak signal detection which help itself to be used in fault diagnosis.

In this paper the traffic signal is analyzed with its Wavelet Transform so as to watch the approximation and details more accurately.

Using wavelet transform carry on the decomposition of the original information of signal, get different characteristic vector of signal.

because of the heavy computational cost , software implementations of wavelet transform cannot be used in real - time signal processing.

We develop a technique using stochastic resonance (SR)-based wavelet transform for the enhancement of unclear diagnostic ultrasound images.

The HMT is a tree-structured probabilistic graph that captures the statistical properties of the coefficients of the wavelet transform.

The wavelet transform has become a key tool for image de-noising owing to its energy compressing property.

As a new method of signal processing, wavelet transform refines different spatial domain signal, setting up variant scale parameters.

The Fourier transform and the wavelet transform are two important mathematical transforms used in industry.

The multiple-layer search strategy based on lifting wavelet transform was used to improve the performance of the algorithm.

The theory of wavelet transform was firstly introduced, and removing the noise of weight signal using wavelet was further presented.

Biorthogonal wavelet packet decomposition overcomes the weakness of the conventional orthogonal wavelet transform.

The lifting wavelet transform does not depend on Fourier transform, so the calculation is simple and the operating speed is fast.

Wavelet transform is an efficient mathematical tool for singularity detection.

Then the algorithm that the color watermark is embedded into original color image using discrete wavelet transform is analyzed.

In the dissertation, the research involves power quality disturbance detection and identification by wavelet transform and data mining.

Wavelet transform is attracting much attention from mathematicians and engineers for its excellent time-frequency character.

Authors have made initial research on phase characteristic of seismic wave under wavelet transform. It is shown that the me. . .

Wavelet transform is widely used in harmonic analysis domain because of its good characteristic of time-frequency analysis.

In this paper, the wavelet transform of a modulation Gaussian function is introduced.

Results showed the wavelet transform is a more efficient method in comparison with Fourier transform.

Finally, deviation data of the band prediction are compressed by three-dimensional wavelet transform coding.

Multiscale boundary detection is equivalent to searching out the local extremum of wavelet transform modulo of image.

In recent years, wavelet transform has been widely used in noise reduction for its well time-frequency analysis features.

By combining wavelet transform with increment sign correlation, an efficient and robust image registration method is presented.

This article investigates the medical digital enhancing methods of histogram equilibrium and wavelet transform.

All the algorithms referred hereinbefore are compared with standard wavelet transform.

Wavelet transform has upstanding quality at time domain and frequency domain, which can effectively characterize signals.

The paper presents a new wavelet transform based generator split phase transverse differential protection scheme with sampled values.

We survey the various applications in MRS of the wavelet transform and related time-frequency methods.

S transform inherits the advantages of the wavelet transform and short time Fourier transform. It is suitable for medical image processing.

Firstly, the wavelet transform theory and image edge detection theory have been deeply researched on.

This paper proposes a new textured image segmentation algorithm which integrates wavelet transform and Gaussian mixture models.

Using wavelet transform and the improved minimum distance method can choose the image segmentation thresholds automatically.

Describes the definition and type of Wavelet Transform and then explains mainly the advantage and typical application of wavelet transform.

wavelet transform and its application in power system frequency tracking .

The differential equations can be transformed into the integral equations by using the continuous wavelet transform.

Wavelet transform is a very useful method for image features extraction and pattern recognition.

A methods using stationary wavelet transform with inter-scale and intra-scale dependencies for infrared image denoising is proposed.

Wavelet transform was utilized for correction for spectral background of signals in ICP-AES and satisfactory results were obtained.

Multi-resolution analysis character of wavelet transform can well reflect signal local characteristic.

A method of signal mutative symptom extraction is presented, in which the theory of wavelet transform is applied.

Simulation showed both two multiscale wavelet transform algorithms have good results in elimination of outliers.

Orthogonal wavelet transform plays a part of whiting, turning the input signals of adaptive filter orthogonal.

In fact, wavelet transform filter equal to analysis signal by a set of band-pass filters.

Signal Acquisition; Wavelet Transform; Wavelet Packet; Fault Diagnosis.

In the paper, the application of wavelet transform to the ultrasonic imaging detection of coarse grain materials is discussed.

This paper focuses on an audio watermarking algorithm research based on lifting wavelet transform and chaotic encryption.

Aiming at the problem of VDR radar image compression, the integer wavelet transform and asymmetric shift ROI coding algorithm are presented.

Obtained from the wavelet transform and the multi-resolution analysis, it discussed the fast algorithm of orthogonal wavelet transform.

Finally, the output image can be obtained through inverse wavelet transform.

The relation between the partial differential equations and the integral equations are discussed by using the continuous wavelet transform.

Secondly, the theory of wavelet transform and the approach of image coding through wavelet transform are studied.

Human Skin Microcirculation after Brachial Plexus Block Evaluated by Wavelet Transform of the Laser Doppler Flowmetry Signal.

Finally, the fused image is obtained through inverse dual-tree complex wavelet transform reconstruction.

In non-cooperative communications, wavelet transform (WT) is used to extract the constellation of digital modulated signals.

The main characteristic of wavelet transform is its flexibility in the frequency bandwidth.

The lifting scheme for the wavelet transform is very simple, and is easy to be implemented with hardware.

This paper deals with the design and implementation of an image transform coding algorithm based on the integer wavelet transform (IWT).

This thesis analyzes the theory digital image fusion in details, and also introduces IHS transform and wavelet transform.

To solve at the problem of ROI image compression, the integer wavelet transform and asymmetric shift ROI coding algorithm are presented.

The main analytical tools utilized in this study are cross wavelet transform and wavelet coherence.

Dual-Tree Complex Wavelet Transform(DT- CWT ) can provide shift invariance and directional selectivity.

be different from orthogonal wavelet transform , biorthogonal wavelet transform has linear phase and can reconstruct signals exactly.

The simulation results show that wavelet transform can effectively achieve the fault detection of inverter.

A new scheme to distinguish swing and faults occurring in transmission lines is proposed based on an orthogonal wavelet transform.

Is Ridgelet Transform Better than Wavelet Transform in SAR and Optical Image Fusion ?

Secondly, it extracts the transient quantities with the localization in time-frequency domain of wavelet transform.

An algorithm on text location are proposed on the basis of wavelet transform and mathematical morphology in video images.

Wavelet transform was applied in vibration signal extraction of hydro-pneumatic suspension.

We use wavelet transform and SPIHT encoding method to compress the data that we got after speckle noise reduction.

The discrete wavelet transform ( DWT ) has been applied to signal processing systems.

The modulus maximum value of wavelet transform detect all types of boundary including unneeded boundary.

To identify the obtained response time series, a discrete wavelet transform (DWT) technique was proposed.

This provides the theoretical foundation for further exploitation about the image space of general wavelet transform.

Analysis and estimate of the pipe inner wall surface using wavelet transform are described.

License Plate location algorithm is the foundation of the whole system algorithm. Wavelet transform is adopted in our algorithm.

The results shows that the wavelet transform has remarkable effect in dealing with noisy signals.

An adaptive image denoising scheme using pixel classification and wavelet transform is propose.

In analytical chemistry, wavelet transform has been mainly utilized for signal smoothing, de noising and compression.

Firstly, original images were decomposed by wavelet transform, and the sub-band images at different scales were obtained.

Through wavelet transform, the high frequency noises was restrained effectively.

Combined the second spectrum with the denoise characteristic of wavelet transform, An effective method is proposed in this paper.

Using Wavelet Transform Theory and 3D vision measuring system to design and program, the feasibility was proved out by the experiment.

In recent years wavelet transform has received substantial attention in image processing.

The method is simple and feasible in selecting the wavelet parameters for wavelet transform based image fusion.

Firstly, power quality disturbance is detected by wavelet transform modulus maxima.

The component-based wavelet transform signal analyzer was developed, and validates the analyzer's accuracy through examples in the end.

Wavelet analysis includes both Integral wavelet transform and wavelet series.

fast wavelet transform procedures. Procedures simple words!

The proposed algorithm greatly raises the practicability of the image improvement technique based on the wavelet transform.

This paper presents a existing kind of semi-fragile watermarking authentication algorithm based on the DWT (Discrete Wavelet Transform).

First, through setting up an appropriate threshold, an AE signal is decomposed by wavelet transform.

Wavelet Transform(WT)Is a very efficient signal processing method.

This paper first introduces the basic ideas of wavelet transform and multi-resolution analysis.

This thesis concentrates on the multi focus image fusion, using multiresolution image structure from wavelet transform.

The paper presents a Wavelet Transform Wiener Filter denoising method of PLC. It is proved feasibility by processing actual signals.

The study prospect of the wavelet transform used to power quality analysis are described.

Finally, the accurate positioning of the damages is achieved by 2D continuous wavelet transform of the mode shape data.

This paper proposes a robust mesh watermarking algorithm using wavelet transform for semi-regular meshes obtained by remeshing.

In the paper the application of wavelet transform is discussed in mechanical noise fault diagnosis.

We design and analyze the parameters of a 6-channel audio-wavelet transform system.

At present, wavelet transform is applied widely in rotating machine fault diagnosis.

This paper discusses the relation between Fourier series and wavelet transform.

This paper is organized as follows: A brief review of Discrete Wavelet Transform (DWT) and wavelet filter banks are provided in section II.

This paper investigates transition signal of power system based on multi-resolution analysis using binary orthogonal wavelet transform.

An efficient face recognition system is designed by using Discrete Wavelet Transform( DWT ), Principal Component Analysis(PCA) and WMMC.

We also present the correlation functions of the discrete wavelet transform relating to 2-D fBm fields that will decay hyperbolically fast.

finally, the watermarked image is obtained by reverse wavelet transform.

In the detecting step, the moving objects are segmented with the third level DWT (discrete wavelet transform) and background difference.

Features derived from Grey Level Co-occurrence Matrix and Stationary Wavelet Transform are used in our method.

And the structure can improve the speed of wavelet transform , save the on-chip and external memory resource.

Finally, the image of enhancement was obtained via the inverse wavelet transform.

An algorithm based on discrete wavelet transform( DWT ) and wavelet packet decomposition(WPD) for speech enhancement was presented.

The denoised image is obtained through inverse wavelet transform by the low frequency image and the high frequency images.

Simulation experiments show the time-frequency structure of the improved S transform is more fine compared with STFT and wavelet transform.

The mainly research result is as follows: 1. A digital image watermarking algorithm in wavelet transform domain is proposed.

Firstly, the target images were decomposed by wavelet transform with the scale which was a function of viewing distance and image height.

Based on expatiate wavelet transform principle, a fusion method based on regional similarity of wavelet coefficients was proposed.

Wavelet transform is a very useful tool of signal processing.

The pulsar super-resolution TOA algorithm based on stationary wavelet transform and fractional Fourier transform is proposed.

Video coding and digital watermarking based on wavelet transform are two important subareas in multimedia signal processing.

A multiscale image fusion algorithm Based on wavelet transform pyramid structure is presented to fuse the infrared and visible light images.

ldentification of the welding crack on the stiffened plate structure using the continuous wavelet transform is studied in this paper.

An adaptive digital image watermarking algorithm based on binary discrete operation was proposed in the wavelet transform domain.

Also, we proposed a modified adaptive run length encoding algorithm based on the wavelet transform and mathematical morphology.

The paper describes an image coding algorithm based on the discrete wavelet transform and context-based adaptive arithmetic coding.

According to the results of experiment, the ability of the independent threshold approach of wavelet transform is more obvious.

A new algorithm for infrared image magnification and enhancement based on wavelet transform and gray-level section transforms is proposed.

Also the pipeline leak location system is built based on second-generation wavelet transform and multistage hypothesis tests.

A facial ageing synthesis (rendering) method based on combination of wavelet transform and texture transplant is proposed in this paper.

Motion object segmentation algorithm based on temporal decomposition by wavelet transform is explored.

An efficient approach based on wavelet transform is presented to detect the variation degree of dynamic background.

A new algorithm of infrared and visible light image registration based on normalized mutual information(NMI) and wavelet transform is given.

A histogram gap method for image lossless data hiding based on integer wavelet transform and histogram modification was proposed.

An audio digital watermark algorithm based on DWT(Discrete Wavelet Transform) and DCT(Discrete Cosine Transform)is presented.

By delaminating for scattered points, the paper applies video 3D wavelet transform to scattered points.

A new recognition algorithm is proposed based on the lifting stationary wavelet transform (SWT) and the fractional Fourier transform (FRFT).

The results show that the method based on wavelet transform enhances the accuracy of recognition on vehicle model.

In wavelet transform, wavelet function has very good part characteristics.

Base on the research above, a digital image watermark algorithm based on discrete wavelet transform and chaos theory is referred.

There are three main transform domain methods: the DFT, the discrete cosine transform and the discrete wavelet transform.

Recently, image compression algorithms based on Discrete Wavelet Transform( DWT ) emerge in plenty.

Dual-Tree Complex Wavelet Transform (DTCWT) has deepened and extended the Wavelet Transform.

The dyadic discrete wavelet transform is used to analyze seismic data and remove noise.

A method based on wavelet transform in combination with support vector machine (SVM) is proposed for localizing text region.

The results showed image preprocessing could be realized well based on wavelet transform.

Wavelet neural network is a feed forward neural network based on wavelet transform and artificial neural network.

An improved digital watermarking algorithm based on dual-tree complex wavelet transform was presented.

A novel algorithm based on two-dimensional discrete wavelet transform for frontal face detection was presented.

A method for estimating the parameters of unknown frequency-hopping (FH) signal is proposed based on Wavelet transform.

A multiscale corner detection algorithm based on the wavelet transform of contour orientation is proposed.

The image was decomposed by discrete wavelet transform.

Combined with the wavelet transform the method is used to compress image data.

A novel frame integral algorithm based on discrete wavelet transform (DWT) for image enhancement is proposed in this paper.

Based on the arithmetic of enhancing wavelet transform, Put forward an image enhancement method of Multi-scale wavelet grades.

Based on the above analysis, this paper studied fingerprint image enhancement based on wavelet transform.

A novel MAP image restoration method in Dual-tree Complex Wavelet Transform(DCWT) domain is proposed.

Traditional wavelet transform has space local character. But most of feature wavelet are based on Fourier transform.

In this paper, a new image coding method based on wavelet transform-improved adaptive binary arithmetic coding, is proposed.

Unlike Fourier transform, the wavelet transform is a better analysis tools both in time domain and frequency domain.

Lifting scheme based on space domain is a new method for constructing wavelets and performing wavelet transform.

Firstly, we obtain the wavelet pyramid using the orthogonal wavelet transform.

A novel model based on wavelet transform and support vector machine for dam deformation prediction is presented.

An image de-noising algorithm based on multi-wavelet transform and synthesis threshold method are presented.

An image compression project based on fast lifting wavelet transform is proposed. The EZW image coding is improved.

In chapter four, discussed the arithmetic and realization of edge detection based on wavelet transform.

A multi-sensor image fusion method based on redundant lifting non-separable wavelet transform is presented.

The results show that threshold denoising and smoothing filter based on wavelet transform achieve the good expectation.

The other part includes using extreme value of amplitude based on wavelet transform to analyze the singularity of signals.

This paper research an improved fast algorithm of EZW based on wavelet transform agreeing with running on high speed DSP.

most of the coe. cents in the wavelet transform are zero or very small.

Methods Image discretion, de-noise and image compression were carried out by 2-dimensional wavelet transform with multi-resolution analysis.

A digital watermarking embedded method based on lifting wavelet transform was presented.

The principle of B-spline wavelet was introduced based on the property of edge information and wavelet transform.

A new nonlinear long-range prediction model is proposed based on the wavelet transform and wavelet neural network in the paper.

A method of using wavelet transform and neural networks to classify the normal and fatigue sEMG is provided.

To conquer the limitation, based on EKF and wavelet transform, presented a multi-scale diagnosing method.

The image fusion based on wavelet transform could he achieved better results and faster processing speed.

A content-based watermarking model based on discrete wavelet transform ( DWT ) is presented.

A new scheme to distinguish swing and fault occurring in transmission lines is proposed based on wavelet transform.

Wavelet transform is used to denoise underwater images.

In this paper, a new ETM(superscript ) image controllable fusion method based on wavelet transform is proposed.

To present a arithmetic based on Wavelet Transform and Convolution Morphology for images de-noising.

A processing method of eliminating noises from chromatographic signals based on wavelet transform has been put forward.

A multi-focus image fusion algorithm based on wavelet transform and local dispersion is proposed.

Based on wavelet analysis, the noise of signal was eliminated with multi-scale wavelet transform.

A multiresolution image fusion algorithm based on watershed segmentation and wavelet transform is proposed.

At the problem, 'method of waveform comparison' based on wavelet transform is proposed in this paper.

Next, these denoised images were fused using wavelet transform.

A low bit rate image compression algorithm based on edge adaptive wavelet transform is proposed.

Two dimensional discrete wavelet transform (2D DWT) is the core of JPEG2000 image compression systems.

A kind of method of two-level signature verification based on discrete wavelet transform( DWT ) was introduced.

In this paper a model of human vision information abstracting based on wavelet transform is presented.

Making use of discrete wavelet transform to extract knock feature is researched.

In this paper, an image fusion algorithm of SAR and optical images based on wavelet transform is proposed.

In the multi-focus image fusion based on wavelet transform, the choice of wavelet base is a question.

In this paper, we set focus on the methods of detecting medical CT image edges based on wavelet transform.

In order to reduce the noise level of the Coriolis mass flowmeter, wavelet transform is adopted as prefilter to suppress noise jamming.

The dones following: 1. Make triple wavelet transform to the original images, and then decrease the noise.

An algorithm of dyadic wavelet transform of image was given in order to apply the dyadic wavelet to signal and image processing.

In this paper, we set focus on the wavelet transform code.

The adaptive lifting wavelet transform was mainly based on the correlation of local structure of the signal and the direction.

Based on the red-black wavelet transform, a new thresholding for image denoising is proposed.

Based on multi-scale and multi-resolution of wavelet transform a new algorithm of edge detection has been presented.

A new method based on wavelet transform for detecting sign points of pulse wave signal is presented.

The method of detecting and tracking targets based on wavelet transform is emphasized.

A kind of wavelet filter is constructed base of Continuous-wavelet transform.

In this method, using wavelet transform to extract the edge feature points, the same time constitute wavelet pyramid image.

A flexible and adjustable human visual information abstracting model is presented, which is based on the wavelet transform.

Using wavelet transform, edges and their direction angle which is used as a matching Constraint in the image were gained.

Finally, in order to make the most of the characteristic of wavelet transform, we improve EZW and SPIHT algorithm in different aspect.

In the technology of image compressing, a techniques of tree character plane which is based on discrete wavelet transform is finished.

According to this idea, the method of signal detection based on hybrid wavelet transform ( HWT ) is proposed.

A digital watermark based on the wavelet transform and chaos map is introduced.

A robust pitch detection method based on wavelet transform is proposed.

In this paper, other techniques are discussed, such as wavelet transform, KL transform and median filtering.

Wavelet transform based on lifting scheme has some characters, such as the simple algorithm, the fast speed and the small storage space.

Wherefore , based on wavelet transform, some important aspects of remote-sensing image fusion is studied in this thesis.

A technique of video compression based on 3D wavelet transform and motion compensation is proposed.

A novel image fusion algorithm(IFA) based on adaptive lifting wavelet transform(ALWT) was proposed.

Finally, inverse wavelet transform and inverse homomorphic transform were carried out and the denoised intensity image was obtained.

In Chapter 6, we sum up this work and look into the future of the wavelet transform in signal detection.

According to the feature of pileup-pellets image, a method of edge detection based on wavelet transform is presented.

How to use wavelet transform for compressing image is very interesting to people.

It is regretted that most of wavelet transform is based on discrete-time system.

This paper presents a face recognition algorithm that is based on wavelet transform and linear discriminant analysis.

A speech enhancement method of Wiener jilter based on wavelet transform is given.

A new method to detect image edge was proposed based on 2-D continuous wavelet transform.

A novel Bayesian approach to face recognition based on wavelet transform and 2DPCA is proposed.

The three kinds of methods in this thesis are based on the fields of wavelet transform, mathematical morphology, and curvature theories.