[PDF] Top 20 K-Complex Detection Based on Synchrosqueezing Transform
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K-Complex Detection Based on Synchrosqueezing Transform
... Database used in this study is prepared and available online, via the so-called DREAMS project run by University of MONS- TCTS Laboratory (Stéphanie Devuyst, Thierry Dutoit) and Université Libre de Bruxelles - CHU de ... See full document
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Image contour based on context aware in complex wavelet domain
... edge detection, shape modeling, medical image-analysis, detectable object boundaries, ...Daubechies complex wavelet transform combined with B-Spline based on context ...method based on ... See full document
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Video Object Tracking, Classification and Segmentation in Complex Wavelet Domain
... Daubechies complex wavelet transform are proposed. First one is based on single change detection method, and then second method based on double change detection method is an ... See full document
16
Complex Wavelet Transform-Based Face Recognition
... The complex wavelets, however, are orthogonal and can be implemented with short one-dimensional separable filters which make them computationally very ...directions, complex wavelet representation is 4 ... See full document
13
An automated fracture trace detection technique using the complex shearlet transform
... Manually interpreting fractures is time-consuming and forms a bottleneck in an outcrop-based DFN workflow. A manual interpretation has a fair degree of associated sub- jectivity, and interpreter bias may take the ... See full document
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Satellite Remote Sensing Image Based Aircraft Recognition Using Transform Features and Detection Using Fuzzy Clustering K Pavan Kumar & D Rajesh Setty
... Feature Extraction starts off evolved from an initial set of measured records and builds derived values (features) supposed to be informative, non redundant, facilitating the subsequent getting to know and ... See full document
7
Target detection in complex scene of SAR image based on existence probability
... sub-image based on the rate of high-intensity ...backscatters based on the k-means ...classification- based algorithms, ROI and its characteristics are defined by human ... See full document
10
A Lane Detection Algorithm under Complex Scenes
... lane detection algorithm under complex road conditions is proposed in this paper, which will be helpful to improve the accuracy and stability of lane ...Besides, based on the traditional gamma ... See full document
5
A Method of Analyzing ECG to Diagnose Heart Abnormality utilizing SVM and DWT
... Wavelet Transform (DWT ), QRS complex detection and Support Vector Machines (SVM) classification with overall accuracy rate ...wavelet transform, while SVM is known as a model with related ... See full document
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Partial Discharge Pattern Recognition Based on Synchrosqueezing Wavelet Transform and Multi Scale Characteristic Parameters
... parameters based on SWT can effectively identify four kinds of transformer discharge ...discharge detection method based on EMD and wavelet packet ... See full document
5
Development of a Cognitive Radio Model Using Wavelet Packet Transform - Based Energy Detection Technique
... significantly complex. For instance, the conventional energy detection technique, based on fixed threshold is prone to noise uncertainty, which has the tendency of making the energy detection ... See full document
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Fault Detection in photovoltaic system by using wavelet transform and fuzzy logic Miss. MekhalePrajakta K. 1, Prof.Mallareddy C. H.2
... Little lattice associated photovoltaic frameworks up to 5 kWp are regularly not checked in light of the fact that best in class reconnaissance frameworks are not sparing. Consequently, some framework disappointments ... See full document
11
Effective Detection of Moving Objects Using Complex Background Subtraction
... The detection of moving object is based on background subtraction under complex wavelet transform (CWT) domain for video surveillance ...object detection, performance of method is ... See full document
6
Moving shadow detection based on stationary wavelet transform
... wavelet transform (SWT) based on a threshold determined by wavelet ...wavelet transform leads to the decomposition of the frames into four different bands without the loss of spatial ...wavelet ... See full document
11
Synchrosqueezing Transform and its Applications: A Review
... invertible transform that improves the readability of a wavelet based TF ...hydrocarbon detection, ground roll suppression and random noise ... See full document
6
Parameter Identification of Low Frequency Oscillation Based on Fourier Synchrosqueezing Transform
... k ( ) t which is usually calculated by ridge extraction is an approximate estimate of k ( ) t , and d is the given ridge error ...t k ( ) can be accurately reconstructed from different ... See full document
10
Parameter Identification of Low Frequency Oscillation Based on Fourier Synchrosqueezing Transform
... t k ( ) can be accurately reconstructed from different frequency spectral sub-band, and then the amplitude, frequency and damping parameter of the component signal f t k ( ) can be ... See full document
12
Hybrid Segmentation Approach and Preprocessing of Color Image based on Haar Wavelet Transform
... wavelet transform as a preprocessing technique in the segmentation of color images using K-L Transform and Otsu algorithm has outclassed the previous work which was segmentation without ...the ... See full document
5
Classification of Normal and Epileptic EEG Signals Using Simple Statistical Feature Extraction
... seizure detection from recorded EEG signals for a healthy and epileptic ...wavelet transform (DWT) After DWT decomposition, a statistical feature for epilepsy detection with k-Nearest Neighbor ... See full document
7
A Novel Noisy Image Fusion Technique Using Dual-Tree Complex Wavelet Transform.
... wavelet based image fusion first any one of wavelet applied to the image, after that we used one of the fusion rule for fusing the wavelet ...wavelet based image fusion: ... See full document
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