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Multi-Focus Image Fusion Based on wavelet transformation

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Journal of Harbin Institute of Technology(New Series) 2013年第2期20卷 124-128页

作者： Peng Zhang Ying-Xun Tang Yan-Hua Liang Xu-Bo Liu Unit 91635 of People's Liberation Army

In the fusion of image,how to measure the local character and clarity is called activity measurement. According to the problem,the traditional measurement is decided only by the high-frequency detail coefficients, which will make the energy expression insufficient to reflect the local clarity. Therefore,in this paper,a novel construction method for activity measurement is proposed. Firstly,it uses the wavelet decomposition for the fusion resource image, and then utilizes the high and low frequency wavelet coefficients synthetically. Meantime,it takes the normalized variance as the weight of high-frequency energy. Secondly,it calculates the measurement by the weighted energy,which can be used to measure the local character. Finally,the fusion coefficients can be got. In order to illustrate the superiority of this new method,three kinds of assessing indicators are provided. The experiment results show that,comparing with the traditional methods,this new method weakens the fuzzy and promotes the indicator value. Therefore,it has much more advantages for practical application.

关键词： variance measure image fusion wavelet transformation multi-resolution analysis

Flight Flutter Modal Parameters Identification with Atmospheric Turbulence Excitation Based on wavelet transformation

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Chinese Journal of Aeronautics 2007年第5期20卷 394-401页

作者：张波史忠科李健君西北工业大学自动化学院陕西西安710072 空军工程大学工程学院陕西西安710038

In view of the feature of flight flutter test data with atmospheric turbulence excitation, a method which combines wavelet transformation with random decrement technique for identifying flight flutter modal parameters is presented. This approach firstly uses random decrement technique to gain free decays corresponding to the acceleration response of the structure to some non-zero initial conditions. Then the continuous Morlet wavelet transformation of the free decays is performed; and the Parseval formula and residue theorem are used to simplify the transformation. The maximal wavelet transformation coefficients in different scales are searched out by means of band-filtering characteristic of Morlet wavelet, and then the modal parameters are identified according to the relationships with maximal modulus and angle of the wavelet transform. In addition, the condition of modal uncoupling is discussed according to variation trend of flight flutter modal parameters in the flight flutter state. The analysis results of simulation and flight flutter test data show that this approach is not only simple, effective and feasible, but also having good noise immunity.

关键词： flight flutter modal parameters identification atmospheric turbulence excitation wavelet transformation random decrement technique acceleration response

Application of fast wavelet transformation in signal processing of MEMS gyroscope

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Journal of Southeast University(English Edition) 2006年第4期22卷 510-513页

作者：吉训生王寿荣许宜申东南大学仪器科学与工程学院

Decomposition and reconstruction of Mallat fast wavelet transformation （WT） is described. A fast algorithm, which can greatly decrease the processing burden and can be very easy for hardware implementation in real-time, is analyzed. The algorithm will no longer have the processing of decimation and interpolation of usual WT. The formulae of the decomposition and the reconstruction are given. Simulation results of the MEMS （micro-electro mechanical systems） gyroscope drift signal show that the algorithm spends much less processing time to finish the de-noising process than the usual WT. And the de-noising effect is the same. The fast algorithm has been implemented in a TMS320C6713 digital signal processor. The standard variance of the gyroscope static drift signal decreases from 78. 435 5 （°）/h to 36. 763 5 （°）/h. It takes 0. 014 ms to process all input data and can meet the real-time analysis of signal.

关键词： wavelet transformation signal processing gyroscope threshold

A Remot Sensing Image Compression Method Based on wavelet transformation/Vector Quantization

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Chinese Journal of Lasers 1997年第5期 473-480页

作者： YAN Jingwen(Dept of Communication Engineerings,Changhchun Institute of Posts & Telecommunications ,Changchun 130012, China )SUN Hui ZHANG Shenghua(The State Key Lab.of Applied Optics,Changchun Institute of Fine Mechanics & Optics,Changchun 130022, China)

A remote sensing image compression method for wavelet transformation(WT) + vector quantization (VQ) used in the virtual remote sensing image processingis presented, with its Performances and simulation results given. The experimental results showed that this remote sensing compression method outperforms that of jointprotype encoding group.

关键词： wavelet transformation vector quantization image compression

Smoke Detection Algorithm Based on wavelet transformation and Energy Analysis

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Smoke Detection Algorithm Based on Wavelet Transformation an...

Fourier and wavelet transformations application to fault detection of induction motor with stator current

2012 National Conference on Information Technology and Computer Science

作者： Xu Yijun School of Technology Beijing Forestry University Beijing,China HAN Ning ﹡ School of Technology Beijing Forestry University Beijing,China

A novel algorithm to detect the forest fire smoke based on the wavelet transformation and high-frequency energy analysis is *** conventional color-based RGB algorithm has the difficulty to distinguish the smoke from other objects with the same color,such as clouds and fogs,so it leads to some false *** the shortages of the RGB algorithm,we propose a wavelet-based algorithm to improve the detection *** been transformed by the wavelet,the original picture will be divided into four *** of the subimages can reflect the low-frequency energy information of the original image and the other three can offer the high-frequency energy information of the original information in horizontal,vertical and diagonal directions *** the wavelet coefficients in the four sub-images,the energy value can be *** this way,the energy feature of the picture can be distracted and the energy parameters in frequency domain can be figured *** comparing the ratios of high-frequency energy to the whole energy in the pictures of the smoke,cloud,and fog respectively,evident distinctions can be ***,a special range of the smoke’s high-frequency energy ratio can be set by large experimental *** comparing the data obtained from the camera with the range for the smoke,we can make sure whether the object is smoke or something just with the similar *** experimental results we obtained can accurately distinguish the smoke from the none-smoke ***,this algorithm can improve the traditional color-based RGB algorithm and the false alarm rate can be reduced

关键词： forest fire detection RGB algorithm wavelet transformation High-frequency energy ratio

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Journal of Central South University 2010年第1期17卷 93-101页

作者： LEE Sang-hyuk 王一奇 SONG Jung-il School of Mechatronics Changwon National University

Fault detection of an induction motor was carried out using the information of the stator current. After synchronizing the actual data, Fourier and wavelet transformations were adopted in order to obtain the sideband or detail value characteristics under healthy and various faulty operating conditions. The most reliable phase current among the three phase currents was selected using an approach that employs the fuzzy entropy measure. Data were trained with a neural network system, and the fault detection algorithm was verified using the unknown data. Results of the proposed approach based on Fourier and wavelet transformations indicate that the faults can be properly classified into six categories. The training error is 5.3×10-7, and the average test error is 0.103.

关键词： Fourier transformation wavelet transformation induction motor fault detection

Chaotic Synchronization with Filter Based onwavelet transformation

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Communications in Nonlinear Science and Numerical Simulation 1999年第4期4卷 3-5页

作者： Xiaoan ZHOU Junfeng LAN Shuisheng QIU(Deplartmeat of Electronic Engineering, South China University of Technology, Guangzhou510640, China) Department of Electronic Engineering South China University of Technology Guangzhou 510640 China

IntroductionInreceatyears,synchronizationofchaoticsystemsanditspotelltialapplicationtocommunicationshavebecomeareaofactiveresearch[1--5],becauseofthebroadbandpropediesofchaoticsignal,itsshazprelativityandsensitiveness... 详细信息

关键词： colpitts oscillator chaotic synchronization wavelet transformation

Nondestructive determination of GABA in germinated brown rice with near infrared spectroscopy based on wavelet transform denoising

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International Journal of Agricultural and Biological Engineering 2021年第3期14卷 200-206页

作者： Qiang Zhang Nian Liu Shuangshuang Wang Leiqing Pan College of Engineering Huazhong Agricultural UniversityWuhan 430070China Key Laboratory of Agricultural Equipment in Mid-lower Yangtze River Ministry of AgricultureWuhan 430070China College of Food Science and Technology Nanjing Agricultural UniversityNanjing 210095China

The objective of this study was to analyze the content ofγ-aminobutyric acid(GABA)in germinated brown rice(GBR)by using near-infrared spectroscopy(NIRS)and the pretreatment method of wavelet de-noising(WD).The prediction accuracy of the NIRS model established by the Daubechies5 wavelet basis function at 3 level denoising treatment is the highest,the correlation coefficient for calibration(rc)is 0.931,the root mean square error of calibration(RMSEC)is 0.4038 mg/100 g,the Bias of calibration is 0.006,the correlation coefficient for prediction(rp)is 0.916,the root mean square error of prediction(RMSEP)is 0.4329 mg/100 g,the Bias of prediction is 0.010,and the ratio of performance to deviation(RPD)is *** showed that the predicted and actual values had high ***,these results indicate that the NIRS model treated by WD is feasible to detect GABA content in GBR rapidly and nondestructively.

关键词： near-infrared spectroscopy wavelet transformation germinated brown rice γ-aminobutyric acid quantitative analysis

wavelet Analytical Forecasting Method of Water Consumption

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Transactions of Tianjin University 2004年第3期10卷 206-208页

作者：刘洪波张宏伟 School of Environment Science and Technology Tianjin University Tianjin 300072 China

A new method of short-term forecasting for water consumption in municipal supply water networks based on wavelet transformation is introduced. By wavelet decomposing commonly used in the signal field, water consumption per hour is decomposed into many series. Trend item, cycle item and random item are separated from the original time series in this *** by analyzing, building a model, forecasting every series and composing the results, the forecasting value of the original consumption is received. Simulation results show that this forecasting method is faster and more accurate, of which the error is less than 2%, indicating that the wavelet analytical method is practicable.

关键词： wavelet transformation water consumption per hour short-term forecasting