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multiresolution wavelet packet transform

Wavelet Packet Transform-Based Algorithm for Mixing Matrix Estimation

Wavelet Packet Transform-Based Algorithm for Mixing Matrix Estimation

... In this paper, we proposed a novel WP-based approach to estimate the mixing matrix for linear instantaneous mixtures. Adaptive sub-band decomposition was realized through WPT implemented in a form of iterative filter ...

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Wavelet Packet Transform Modulation for Multiple Input Multiple Output Applications

Wavelet Packet Transform Modulation for Multiple Input Multiple Output Applications

... a wavelet can be traced to the windowed STFT of It ensures translation along the time and frequency planes by shifting and scaling respectively, unlike the Fourier ...discrete wavelet transform ...

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Meningioma classification using an adaptive discriminant wavelet packet transform

Meningioma classification using an adaptive discriminant wavelet packet transform

... a multiresolution wavelets decomposition that represents the salient characteristics of the texture classes being ...the Multiresolution Adaptive Wavelet Texture Templates ...

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A Novel Approach of Water Marking using Discrete Wavelet Packet Transform (DWPT)

A Novel Approach of Water Marking using Discrete Wavelet Packet Transform (DWPT)

... One of the many advantages over the wavelet transform is that that it is believed to more accurately model aspects of the HVS as compared to the FFT or DCT. This allows us to use higher energy watermarks in ...

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High impedance fault localization in a distribution network using the discrete wavelet transform

High impedance fault localization in a distribution network using the discrete wavelet transform

... C. Wavelet-Based Database System To generate a set of database, several high (HIF) of 60Ω, 70Ω, 80Ω, 90Ω and 100Ω fau simulated at each node. The voltage signal o main feeder is decomposed using the DWT obtain the ...

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Combining data fusion with multiresolution analysis for improving the classification accuracy of uterine EMG signals

Combining data fusion with multiresolution analysis for improving the classification accuracy of uterine EMG signals

... Herein, multiresolution analysis based on the WPT is first applied in order to improve the discrimination power of the selected feature. The WPT is a powerful signal decomposition technique adapted for the ...

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International Journal of Computer Science and Mobile Computing

International Journal of Computer Science and Mobile Computing

... blind transform domain watermarking based on DWT-DCT-SVD The parameters used to test the robustness of the proposed algorithm are the Peak Signal to Noise Ratio (PSNR) and Weighted Peak Signal to Noise Ratio ...

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DESIGN OF FRACTAL ANTENNA FOR UWB APPLICATIONS

DESIGN OF FRACTAL ANTENNA FOR UWB APPLICATIONS

... The Multiresolution bilateral filtering along with BayesShrink Thresholding removes noise .The performance of denoising algorithm is measured using quantitative measures like PSNR and MSE as well as in terms of ...

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Target-Aided SAR Image Intelligent Compression

Target-Aided SAR Image Intelligent Compression

... discrete wavelet transform ...by multiresolution detection ...the wavelet coefficients in each subband into either a target class or a background ...

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Denoising of Poisson and Rician Noise from Medical Images using Variance Stabilization and Multiscale Transforms

Denoising of Poisson and Rician Noise from Medical Images using Variance Stabilization and Multiscale Transforms

... The filters in this paper are designed based on the design pro- cedure given in [23]. The detailed study on the filter design for double density dual tree complex wavelet transform can be found in [20]. The ...

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Feature Selection for Short Text Classification using Wavelet Packet Transform

Feature Selection for Short Text Classification using Wavelet Packet Transform

... Short text data is noisy and consists of many features which are irrelevant to the task of classification of data. IADWPT effectively gets rid of the noise in approxima- tions(as Signal strength is greater than the ...

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IRIS RECOGNITION USING DISCRETE COSINE TRANSFORM AND WAVELET PACKET DECOMPOSITION

IRIS RECOGNITION USING DISCRETE COSINE TRANSFORM AND WAVELET PACKET DECOMPOSITION

... Iris recognition is basic technology for personal identification and verification and is most reliable and accurate for biometric identification system. Iris recognition system gives security to the organization and ...

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A REVIEW ON FORCE ANALYSIS ON TURNING BY USING WAVELET PACKET TRANSFORM TECHNIQUE

A REVIEW ON FORCE ANALYSIS ON TURNING BY USING WAVELET PACKET TRANSFORM TECHNIQUE

... Wavelet transform (WT) is a mathematical function that multiplies the signal during all its length, with elongated and compressed versions of a ...of Wavelet transform, wavelet ...

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Effectiveness of wavelet families for power quality event quantization

Effectiveness of wavelet families for power quality event quantization

... Wavelet Packet Transform technique is used to estimate the Power Quality ...of wavelet families for Wavelet Transform, which can be potentially employed in quantizing the Power ...

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Enhancement Of Atmospheric Turbulence Distorted Images Using Wavelet Packet Transform

Enhancement Of Atmospheric Turbulence Distorted Images Using Wavelet Packet Transform

... and Wavelet Coieflet for the ...Haar wavelet is used to decompose the high frequency ...the wavelet packet transform and how it is used for feature ...proper wavelet filters and ...

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Power quality events analysis using wavelet transform

Power quality events analysis using wavelet transform

... mother wavelet function is very important for all the wavelet based PQ analyses ...mother wavelet function in detecting and analyzing voltage sag and voltage swell is Daubechies (Db) ...the ...

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Time-Frequency and Time-Scale-Based Fragile Watermarking Methods for Image Authentication

Time-Frequency and Time-Scale-Based Fragile Watermarking Methods for Image Authentication

... In this section we demonstrate the performance of the wavelet-based watermarking method through two appli- cations. In the first application we study the content integrity verification with localization ...

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Classification of meningiomas using discriminant wavelet packets and learning vector quantization

Classification of meningiomas using discriminant wavelet packets and learning vector quantization

... discriminant wavelet packet subbands and using certain statistical features of the subbands for training the neural ...different wavelet filters on the classification ...discriminant wavelet ...

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Effects of Transmit Diversity on a Discrete Wavelet Transform and Wavelet Packet Transform based Multicarrier Systems

Effects of Transmit Diversity on a Discrete Wavelet Transform and Wavelet Packet Transform based Multicarrier Systems

... Daubechies wavelet filters of order 8 had the fastest processing followed by the Symlet filters of order 8 and the Coiflet filters of order 5 had the slowest ...

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A Study On Haar Integral and Its Methods

A Study On Haar Integral and Its Methods

... 30 wavelet packet transform to compress the audio signal ...30 wavelet transform – with trend values quantized at 8 bpp and fluctuations quantized at 6 bpp, and with separate entropies ...

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