The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
For the harmonics measurement in the micro grid accurately a detection method based on continuous Morlet wavelet transform is proposed in this paper. Combined with the high resolution in the frequency domain of continuous wavelet transform, the Morlet wavelet function is used to extract the local maxima lines in each frequency band. The relevance of the local maxima lines and harmonic frequency is...
Accuracy of peak detection is very important for autonomic evaluation based on photoplethysmographic (PPG) signals. Considering percussion peaks may not the maximum points in their PPG periods, the study proposed an improved algorithm of peak detection. It first determines the reference points at the rising edge of PPG percussion waves and then applies the local maximum only in the certain ranges...
When capturing images from the microscope imaging system, the images captured are blur and the information in the images is lost due to noise interference in the collection process. The process of microscopy imaging and the algorithm of microscope image denoising based on wavelet transform are discussed in this paper. Spectrum value and noise variance are used to evaluate the denoising effect. The...
Aircraft economic classification has played a fundamental role in field of civil aviation. Aiming at encourage the sustainable development of the air transport industry, the model of aircraft economic classification is set up based on the theory of wavelet recursive least square support vector machine (WRLS-SVM) according to the principle of ICAO, which named as ldquouser paid for by himselfrdquo...
Multiplying adjacent wavelet scales to obtain multiscale product can enhance significant structures and suppress noise, which makes it have predominance over other methods. Starting from the formation mechanism of multiscale product, soft-thresholding of multiscale product is proposed. Furthermore, we examine the mean square error (MSE) characteristics of soft-thresholding and hard-thresholding based...
Robust real-time tracking of non-rigid objects is a challenging task. The difficulty in visual tracking is how to estimate the object position quickly and reliably. Particle filter (PF) has proven successfully for nonlinear and non-Gaussian estimate problems, but its degeneracy problem is very serious. For alleviating the degeneracy problem of the PF, the choice of proposal distribution plays an important...
Recently, mass spectrometry analysis has a become an effective and rapid approach in detecting early-stage cancer. To identify proteomic patterns in serum to discriminate cancer patients from normal individuals, machine-learning methods, such as feature selection and classification, have already been involved in the analysis of mass spectrometry (MS) data with some success. However, the performance...
Considering the issues that the flocculating process of sewage treatment is a complicated and nonlinear system, and it is very difficult to find the process model to describe it. The wavelet neural network has the advantages of both wavelet analysis and neural network, therefore it has the ability of strong nonlinear function approach and the ability of strong adaptive learning and it also has the...
A system to detect the corrosion of submarine oil pipeline is introduced, it got the original data by 3 groups ultrasonic sensors and flux leakage sensors. We made multiscale wavelet transform and frequency analysis to multichannels original data and extracted multi-attribute parameters from time domain and frequency domain, then we selected the key attribute parameters that have bigger correlativity...
In image based rendering (IBR), a 3D scene is recorded through a set of photos, and a novel view is rendered by assembling data from the photo set. Compression is essential to reduce the huge data amount of IBR. We examine three categories of IBR compression algorithms: the block coder, the reference coder and the high dimensional transform (wavelet) coder. It is observed that the block coder consumes...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.