[PDF] Top 20 Singularity and similarity detection for signals using the wavelet transform
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Singularity and similarity detection for signals using the wavelet transform
... The wavelet transform and related techniques provide powerful tools for detecting and analyzing singular and self-similar ...the wavelet coefficients, and sharply changing points can be sensitively ... See full document
8
Analysis on Singularity of Fault Signals of High Spindle Based on Hermitian Wavelet
... the wavelet transformed modulus maximum that the modulus maximum of singular point of signals is of scaling transfer and the modulus maximum at adjacent scale is close in position and same in ...of ... See full document
6
On Wavelet Transform General Modulus Maxima Metric for Singularity Classification in Mammograms
... Continuous wavelet transform is employed to detect singularities in 2-D signals by tracking modulus maxima along maxima lines and particularly applied to microcalcification detection in ... See full document
14
Detection of ULF geomagnetic signals associated with seismic events in Central Mexico using Discrete Wavelet Transform
... ways. Signals associated with seismic events data are reported, and the observation time depending on the particular geomagnetic component is ...filter using a DB1 wavelet mother function to the ... See full document
8
Detection of Epileptic Seizures and Efficient De Noising In Speech Auditory Brain Waves
... after wavelet transform and statistical pattern recognition, makes an objective decision about the type of the EEG data processed and thus the brain state of a ...meaningful wavelet transform ... See full document
10
Islanding Detection in Micro Grid Using Wavelet Transform
... current signals at the target DG location ...for detection of islanding event and other disturbances due to sudden load change, DG line cut-off etc, thus enable better ... See full document
8
Wavelet Transform for Classification of EEG Signal using SVM and ANN
... the detection of epileptic ...EEG signals using wavelet transform (WT) in the year 1997 and also described the application of an artificial neural network (ANN) technique ...extraction ... See full document
9
Estimating Depth of Anesthesia from EEG Signals Using Wavelet Transform
... It is anticipated that brain activities or EEG anesthesia would be similar to that of deep cases the cognitive functions of the brain low level. It was expected that EEG from person would have the similarity to ... See full document
5
Heart Rate and Ischemia Detection Using Wavelet Transform
... Electrocardiographic (ECG) signals information is derived from analysis of the information indirectly reflected on the surface ECG. The ECG signal is able to make of basic information for heart disease, indisposed ... See full document
7
Detection and classification of combined real time power quality disturbance signals with Hidden Markov Models incorporating wavelet features
... Discrete Wavelet Transform (MODWT) has been implemented along with the traditional discrete Wavelet Transform (DWT) for the detection and localization of different types of power ... See full document
17
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 ... See full document
34
INCORPORATION OF NEGOTIATION PROCESS INTO AN E COMMERCE PLATFORM TO INCREASE SALES
... EEG signals and classify ...signal using Notch Filter to eliminate the unwanted frequencies and pass the required frequencies to improve ...method using Principal Component Analysis (PCA) and the ... See full document
13
Detection of inrush current using Wavelet Transform and Artificial Neural Network (ANN)
... de-noised signals to localize partial discharge in transformer ...Develops wavelet transform for filtering harmonic currents and the results are classified by using probabilistic neural ... See full document
7
Denoising of EEG signals using Discrete Wavelet Transform Based Scalar Quantization
... the wavelet family which consists of quadrature mirror filter with the property of perfect ...of wavelet families which includes Daubechies, Symlets, Haar wavelets, Discrete meyer and Bi orthogonal ...the ... See full document
8
Wavelet Analysis on FECG Detection Using Two Electrodes System Device
... FECG detection; therefore comparison between two placements of electrodes has been made to find the best measurement of ...signal detection during pregnancies is very useful in assessing fetal ... See full document
6
Detection And Classification Of Power Quality Disturbances Using Discrete Wavelet Transform And Energy Entropy
... voltage signals with these disturbances were decomposed using the DWT and analyzed up to level four of ...prepared using PAEE that each PQ disturbance has different bar size which clearly classifies ... See full document
5
TRANSIENT STABILITY ENHANCEMENT OF POWER SYSTEM USING INTELLIGENT TECHNIQUE
... wide-band signals associated with electromagnetic ...the wavelet transform may be useful for analyzing the sources of transients through manual or automated feature detection ...of ... See full document
10
Earlier Detection of Glaucoma using Empirical Wavelet Transform
... Feature selection plays an important role in performance evaluation. Highly discriminatory features are selected using Student’s t- test algorithm for further analysis. The t-test discriminates two classes on the ... See full document
8
Fabric Defect Detection using Discrete Wavelet Transform
... detected using Discrete Wavelet Transform and KNN ...defect detection using decomposition of defective and defect free ...by using image acquisition ... See full document
5
SELECTION OF OPTIMAL BASE WAVELET FOR IMAGE COMPRESSION
... software using MATLAB‟s Wavelet ...of wavelet, discrete wavelet transforms, principles of image compression, image compression methodology, the selection of discrete wavelet ... See full document
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