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[PDF] Top 20 Wavelet based methods for improved wind profiler signal processing

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Wavelet based methods for improved wind profiler signal processing

Wavelet based methods for improved wind profiler signal processing

... horizontal wind and, under certain conditions, the vertical wind ...received signal is several orders of magnitude weaker than the transmitted sig- ...received signal is Doppler shifted, which ... See full document

12

Wavelet based signal processing techniques for medical image fusion

Wavelet based signal processing techniques for medical image fusion

... used wavelet transform technique to fuse medical image did not cover many wavelet banking filters and as such did not obtained optimum ...are based on traditional methods, hence less accurate ... See full document

29

Improved methods for signal processing in measurements of mercury by Tekran 2537A and 2537B instruments

Improved methods for signal processing in measurements of mercury by Tekran 2537A and 2537B instruments

... (AF) signal is pro- cessed. Here I describe new software-based methods for pro- cessing the raw signal from the Tekran ® 2537 instruments, and I evaluate the performances of those ... See full document

11

Application of model-based spectral analysis to wind-profiler radar observations

Application of model-based spectral analysis to wind-profiler radar observations

... different methods are presented in this paper and applied to actual ...is based on cepstrum properties generally used to determine the shift be- tween two close identical ...implement, improved the ... See full document

10

Radar Signal Intra Pulse Feature Extraction Based on Improved Wavelet Transform Algorithm

Radar Signal Intra Pulse Feature Extraction Based on Improved Wavelet Transform Algorithm

... radar signal processing, and it is necessary to seek new methods in the two-dimensional transformation ...analysis methods of short-time Fourier transform and Wigner-Ville distribution are ... See full document

11

Application of Wavelet Techniques in ECG Signal Processing: An Overview

Application of Wavelet Techniques in ECG Signal Processing: An Overview

... various methods have been used for processing and accurate detection of human cardiac ...the methods based on Wavelet transforms and found that this Wavelet transform is more ... See full document

12

Rolling Bearing Signal Denoising Based on Wavelet Neighboring Coefficients Combined with Improved Shrinkage Threshold

Rolling Bearing Signal Denoising Based on Wavelet Neighboring Coefficients Combined with Improved Shrinkage Threshold

... vibration signal characteristics of the mechanical equipment obtained in the field environment are often drowned by the strong ...the signal denoising and extract the characteristic information representing ... See full document

8

Research Article Signal Recognition for English Speech Translation Based on Improved Wavelet Denoising Method

Research Article Signal Recognition for English Speech Translation Based on Improved Wavelet Denoising Method

... The signal corresponding to English speech contains a lot of redundant information and environmental interference information, which will produce a lot of distortion in the process of English speech translation ... See full document

9

A Survey on Wind Turbine Condition
Monitoring and Fault Diagnosis−Part II: Signals
and Signal Processing Methods

A Survey on Wind Turbine Condition Monitoring and Fault Diagnosis−Part II: Signals and Signal Processing Methods

... aforementioned signal processing methods for WT CMFD, the model-based methods do not need high-resolution signals ...model- based methods for WT CMFD ...aforementioned ... See full document

13

Advanced intermittent clutter filtering for radar wind profiler: signal separation through a Gabor frame expansion and its statistics

Advanced intermittent clutter filtering for radar wind profiler: signal separation through a Gabor frame expansion and its statistics

... suboptimal signal separation in the wavelet domain, especially near zero Doppler shift, makes an efficient separa- tion of clutter and signal ... See full document

25

WAVELET BASED FEATURE EXTRACTION OF ELECTROMYOGRAM SIGNAL FOR DENOISING

WAVELET BASED FEATURE EXTRACTION OF ELECTROMYOGRAM SIGNAL FOR DENOISING

... require processing before its use, so the modeling of these bioelectric signals is ...the processing of signals that are non-stationary and time ...obtained signal was decomposed using wavelet ... See full document

5

An Improved Image Denoising Method Based on Wavelet Thresholding

An Improved Image Denoising Method Based on Wavelet Thresholding

... Keywords: Wavelet Transforms; Neighboring Coefficients; Wavelet Thresholding; Image Denosing; Neighbouring Coefficients; Peak Signal-to-Noise Ratio ...features. Wavelet analysis has been ... See full document

8

An Improved Wavelet Based Preconditioner for Sparse Linear Problems

An Improved Wavelet Based Preconditioner for Sparse Linear Problems

... Discrete Wavelet Transform (DWT) is a big boon es- pecially in signal and Image processing where in smooth data can be compressed sufficiently without loosing pri- mary features of the ... See full document

7

Improved Signal Processing and Calibration Methods for GPR Tomography

Improved Signal Processing and Calibration Methods for GPR Tomography

... reflected signal carries quantitative information about the object’s size, shape and location relative to the transmitting and receiving ...reflected signal, which is often collected by moving the receiving ... See full document

9

Wavelet Transform Based ECG Signal Processing for Feature Extraction of HRV Signal

Wavelet Transform Based ECG Signal Processing for Feature Extraction of HRV Signal

... HRV Signal and feature extraction using Electrocardiogram signal ...HRV signal generation from ECG signal. Discrete Wavelet Transform utilized for noise removal and R peaks detection of ... See full document

7

Wavelet Signal Processing of Physiologic Waveforms

Wavelet Signal Processing of Physiologic Waveforms

... and wavelet filters have a step-size of 2 in the variable ...the wavelet filter, whichever is the longest, so the length of the longest filter determines the width of the spectrum of the scaling ... See full document

50

Optimization and Implementation of the Wavelet Based Algorithms for Embedded Biomedical Signal Processing

Optimization and Implementation of the Wavelet Based Algorithms for Embedded Biomedical Signal Processing

... biomedical wavelet based applications exceed the computational, memory and consumption resources of low-complexity embedded ...use wavelet transforms, optimization and implementation techniques are ... See full document

22

Signal processing based methods for genome assembly refinement

Signal processing based methods for genome assembly refinement

... 1) Zpracujte literární rešerši o základních přístupech využívaných pro sestavení genomu (assembly) ve vztahu k různým sekvenačním technologiím. 2) Prostudujte možnosti využití numerické [r] ... See full document

65

Electro Encephalography Measurements Using Wavelet Based Signal Processing (Part 1)

Electro Encephalography Measurements Using Wavelet Based Signal Processing (Part 1)

... are based on measurements of abnormal wave patterns which can appear once in a ...of signal analysis which finds application for diagnosing EEG ...a wavelet is explained and the method ...of ... See full document

12

Electro Encephalography Measurements Using Wavelet Based Signal Processing (Part 2)

Electro Encephalography Measurements Using Wavelet Based Signal Processing (Part 2)

... oscillation based wavelets are introduced as useful for EEG ...new wavelet based on the spike and wave activity picked up from a patient’s own record could be ...designed wavelet, analysis ... See full document

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