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In this paper, a new image digital watermarking algorithm which combined the Radon transform with 2D-wavelet transform is proposed. And the finite Radon transform has been adopted to make it possible for radon transform to carry out invertible transform for digital images. The point singularity is transformed into the line singularity by the Radon transform. And the 2D-wavelet is very efficient in...
The network log file database is important to security management. But, with the development of Internet, it has become too bulkiness to be used directly. In this paper, the wavelet decomposition is adopted to mining the useful rules from the network security data. This is different from traditional data mining methods of association rules. Multi-resolution analysis of wavelet transform method is...
Presents an improved segmentation algorithm for flame image of rotary kiln burning zone, based on Gabor wavelet based texture coarseness and Fuzzy C-MEANS (FCM) cluster algorithm. At first, analyses the flame image in detail, divides it into four areas (flame area, material area, illuminated area, background area) by expert experiences and applies threshold segmentation in order to get rid of background...
De-noising based on wavelet may bring artifacts (Gibbs) on the discontinuity points of signals. Because of great translation work of the method- translation invariance that can eliminate Gibbs, the partial translation invariance is presented. Haar wavelet that can eliminate Gibbs if the discontinuity is in the middle of the signals is analyzed firstly, then the method detecting the location of discontinuity...
After the dynamic differential pressure signal of gas-liquid two-phase flow was done by Hilbert-Huang transform, the intrinsic mode and residual error of the signal was withdrawn, intrinsic mode reflects the fluctuation ingredient of the signal, and the residual error reflects the steady ingredient. The relation between void fraction and fluctuation ingredient, mean value was researched under the...
A novel image fusion algorithm based on lifting wavelet transform was proposed. First, the lifting wavelet transform is used to perform a multiscale decomposition of each image, then different fusion rules was used in different frequency areas, the frequency direction consistency which has been proposed was performed in high frequency images, this method has preserved more details and the fused image...
In deregulated electricity markets, short term load forecasting is important for reliable power system operations, and significantly affects market participants. It is difficult and challenging in view of the complicated effects on load by a variety of factors. To appropriately capture the complex features of load, this paper presents a novel similar day-based wavelet neural network method. The key...
The paper proposed a locomotion simulation method of the lower limb EMG-prosthesis based on OpenGL. Firstly, the raw surface EMG and real knee angle are stored, and the features of surface EMG are extracted after preprocessed and transformed with Wavelet Packet. Secondly, the model of EMG is built with Support Vector Machine, and the knee angles of prosthesis are forecasted during the whole gait cycle...
The third order of the high frequency parts of the whole wind speed are changed greatly, it is the input of wind turbine. The input determines the control value, so the control value is changed greatly in short time. The controller has the determine time to work. Hence, the input prediction control is introduced. Simply the wind speed is composed by basic signal and instantaneous signal, of which...
Coding is an important and a difficult subject of research on genetic algorithm (GA). Float code (FC) is super to other codes in use. But, noise and its influence on GA performance were ignored by researches in genetic operation. Mutation played an important role of improving GA performance. This paper presents a float-coded genetic algorithm (FCGA) with wavelet denoising mutation. They are called...
Underwater geomagnetism-aided navigation now is advanced as a leading subject in navigation research field, for its merits of sensing-passivity, distribution-extensity and etc. But yet geomagnetic fieldpsilas unsteadiness may cause positioning resultspsila divergence after correlation matching, so the dynamic measurementspsila gross errors make this project an issue. After analyzing the specialties...
Based on Gabor wavelets, a novel multi-scale principal component analysis and support vector machine algorithm (MsPCA-SVM) for face recognition is proposed in this paper. Firstly, the Gabor wavelets transformation results including five scales and eight directions are calculated and 40 feature matrices which are reconstructed with the same scale and the same direction transform results of the different...
Wavelet analysis is used in parameters identification in this paper, because of the time frequency location characteristic and multi-scale ability of wavelet transform and multi-resolution analysis. Then this paper compares the neural network with wavelet transform to identify the direct thrust control system parameters, and obtains the results are shown that the wavelet transform is further suitable...
When using conventional principal component analysis to detect multiple fault, it can lead to the problem of precision decreased. At the stage of fault identification, it canpsilat accurately identify various of faults. For this problem, this paper introduces multi-scale principal component analysis method based on fully analysis that different types of faults have different frequently characteristics...
A novel personal identification approach using hand-based features is proposed in this paper. In contrast with the existing approaches, this paper extracts fusion biometric features, including hand shape, finger-print and palm-print to implement coarse-to-fine dynamic identification. Hand shape feature is used to guide the fast selection of a small set of similar candidates from database in coarse...
A new method for digital modulation recognition in shortwave communications based on wavelet packet and cumulants is presented. It uses wavelet packet transform and cumulants as feature extraction method and hierarchical classifiers based on support vector machines as the classifier. This hierarchical method has higher recognize rate compared with other methods. Classification results for 10 modulation...
In this paper, a new adaptive lifting wavelet transform scheme is proposed. The main idea of the scheme is that the choice of predicting operator is triggered by local gradient information of the signal. Such an adaptive scheme can adapt itself well to the analyzed signal, and both the smooth properties and the sharp transition characteristics of the signal can be reserved perfectly by using this...
Data missing in data pretreatment has a serious effect on the accuracy of subsequent analysis results in data mining. In this paper, the cause of data missing and the corresponding effect on data mining were discussed. Then the missing pattern and the application limitation of traditional missing value estimation were analyzed as well. Finally, the estimation algorithm of missing value in MAR (missing...
Research on sensor fault diagnosis of underwater robots (URs) is undertaken to improve its whole system reliability. Based on the analysis of URspsila three kinds of sensor failures, fault diagnosis methods corresponding to these failures are presented. The basic principles of wavelet transform and linear smoothing are expressed, signal singularity analysis is conducted and the general standard of...
In order to correctly recognize the current state of equipment for preventing equipment farther degradation and occurrence of failure, a new method of equipment degradation state recognition based on wavelet correlation feature scale entropy(WCFSE) and hidden semi-Markov models (HSMM ) was proposed. Firstly, the gathered vibration signal of equipment was processed by the way of the wavelet transform...
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