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Application of Bipartite Entangled States to Quantum Mechanical Version of complex wavelet transforms

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Communications in Theoretical Physics 2006年第4期45卷 609-613页

作者： FAN Hong-Yi LU Hai-Liang XU Xue-Fen Department of Physics Shanghai Jiao Tong University Shanghai 200030 China Department of Material Science and Engineering University of Science and Technology of China Hefei 230026 China Department of Basic Courses Jiangsu Teachers University of Technology Changzhou 213001 China

We introduce the bipartite entangled states to present a quantum mechanical version of complex wavelet transform. Using the technique of integral within an ordered product of operators we show that the complex wavelet transform can be studied in terms of various quantum state vectors in two-mode Fock space. In this way the creterion for mother wavelet can be examined quantum-mechanically and therefore more deeply.

关键词： entangled states complex wavelet transform

维普期刊数据库

Investigation on the automatic parameters extraction of pulse signals based on wavelet transform

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2007年第8期8卷 1283-1289页

作者： WANG Hui-yan ZHANG Pei-yong College of Computer Science ＆ Information Engineering Zhejiang Gongshang University Hangzhou 310018 China Institute of VLSI Design Zhejiang University Hangzhou 310027 China

This paper analyses a key problem in the quantification of pulse diagnosis. Due to the subjectivity and fuzziness of pulse diagnosis,quantitative methods are needed. To extract the parameters of pulse signals,the prerequisite is to detect the corners of pulse signals correctly. Up to now,the pulse parameters are mostly acquired by marking the pulse corners manually,which is an obstacle to modernize pulse diagnosis. Therefore,a new automatic parameters extraction approach for pulse signals using wavelet transform is presented. The results testified that the method we proposed is feasible and effective and can detect corners of pulse signals accurately,which can be expected to facilitate the modernization of pulse diagnosis.

关键词： Pulse signal Feature extraction complex wavelet transform Quantitative diagnosis

维普期刊数据库

A Water/Land Segmentation Algorithm Based on an Improved Chan-Vese Model with Edge Constraints of complex wavelet Domain

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Chinese Journal of Electronics 2015年第2期24卷 361-365页

作者： MAO Chenglin WAN Shouhong YUE Lihua XIA Yu School of Computer Science and Technology University of Science and Technology of China

A novel model for segmentation of water/land in Synthetic aperture radar(SAR) images is presented. The proposed model calculates the global matrix of oriented gradient of histograms on wavelet subbands based on the multi-scale property, shift invariance and directional selectivity of complex wavelet transform(CWT), then acquires edge information by thresholding the matrix. It improves the traditional Chan-vese(CV) model by adding the constraint of extracted edge information. A new water/land segmentation algorithm is then proposed based on the new model. The performance of proposed method is compared with some other existing algorithms and the experimental results confirm its effectiveness.

关键词： Water/land segmentation complex wavelet transform Multi-scale Orientation selectivity Edge information Chan-vese model

Design Method and Application of wavelet Neural Network for Direct Torque Control System

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Design Method and Application of Wavelet Neural Network for ...