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5th International Conference on Frontiers Technology of Information and Computer, ICFTIC 2023

作者： Chen, Nan Beijing Polytechnic Beijing China

ISBN: (纸本)9798350309034

The Coriolis mass flow sensor is a high-precision measuring device that can directly measure the mass flow and density of the fluid, and can simultaneously calculate the volume flow. However, in the actual application process, various noises in the industrial field will seriously affect the accuracy of the measurement results. In this paper, for the filtering and noise reduction of the Coriolis mass flow sensor, the wavelet mallat algorithm is used to suppress the noise interference, so as to improve the calculation accuracy of the feature quantity. The method decomposes the original signal into different sub-bands layer by layer according to different resolutions, performs threshold processing on the detail signals of each layer, and then reconstructs the sub-bands. The influence of wavelet generating function, threshold function and decomposition layer number on the filtering effect of different flow signals is analyzed by simulation, and appropriate parameters are selected for the U-shaped tube Coriolis mass flow sensor to achieve the requirements of better filtering effect. The simulation and experimental results show that the wavelet mallat algorithm has a good filtering and noise reduction effect on the Coriolis mass flow sensor. © 2023 IEEE.

关键词： Coriolis mass flowmeter mallat algorithm Noise reduction filtering Wavelet transform

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CLUTTER SUPPRESSION BASED ON SINGULAR VALUE DECOMPOSITION AND FAST WAVELET algorithm

CLUTTER SUPPRESSION BASED ON SINGULAR VALUE DECOMPOSITION AN...

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IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

作者： Xiao, Ruomeng Zong, Zhulin Yang, Longfa Univ Elect Sci & Technol China Res Inst Elect Sci & Technol Chengdu 611731 Peoples R China

ISBN: (纸本)9798350360332;9798350360325

Aiming at the problem that the target signal is difficult to be detected under the strong ground clutter environment, this paper proposes a clutter suppression algorithm based on the combination of singular value decomposition and mallat fast wavelet *** method firstly performs singular value decomposition on the echo data matrix, and realizes the initial separation of target and clutter through the threshold processing of singular value. After that, wavelet decomposition is performed on the echo data to find out the target location, and the discard method is used to select the appropriate wavelet decomposition layer for target reconstruction, which ensures that the loss of target information is minimized while suppressing the clutter. Through experimental verification of the measured data, the method has significant effect on target extraction under low SCR conditions, and it can realize the separation of target and clutter in the absence of target a priori position information. The output SCR of the method is also improved compared with the traditional wavelet processing method.

关键词： Clutter Suppression Singular Value Decomposition Wavelet Transform mallat algorithm Low SCR

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Image reconstruction based on improved block compressed sensing

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COMPUTATIONAL & APPLIED MATHEMATICS 2022年第1期41卷 1-18页

作者： Du, Hong Lin, Huixian Guangdong Ocean Univ Fac Math & Comp Sci Zhanjiang 524088 Peoples R China

Compressed sensing (CS) technique can sample and compress simultaneously. Since an image contains a huge amount of information, block CS (BCS) technique has appeared. This technique can divide image signals into non-overlapping sub-blocks and all the sub-blocks are processed separately. In classical BCS, translations of coefficients may cause signal losses when constructing sparse matrices. Therefore, reconstructed images are unsatisfactory at low sparsity. In this paper, we propose an improved BCS (IBCS). Our implementation is based on mallat reconstruction algorithm to construct a non-square sparse matrix, it can retain more information of original signals. The reconstruction quality is more stable at different sparsity. Two experiments demonstrate that the reconstruction quality of the proposed IBCS is better than that of CBCS at lower sparsity and the implementation cost is reduced.

关键词： Block compressed sensing Sparse matrix mallat algorithm Db2 wavelet Image reconstruction

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Impact of Disclosure of Internal Control Defects on Stock Price Information Rate Based on The mallat-Copula Hybrid algorithm 2

Impact of Disclosure of Internal Control Defects on Stock Pr...

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2nd International Conference on Artificial Intelligence and Big Data (ICAIBD)

作者： Liu, Na South China Business Coll GDUFS Sch Management Guangzhou Guangdong Peoples R China

ISBN: (纸本)9781728108315

The high quality information disclosure of listed companies will lead to the allocation of capital market resources through stock prices. This paper takes A-shares listed companies in Shanghai and Shenzhen stock markets as the research object, which disclose internal control defects in the 2015-2016 years, using the mallat algorithm and the copula function and Kolmogorov-Smirnov goodness-of-fit test to deal with information rate of stock price. Then analysis the impact of information disclosure of internal control defects of listed companies on information rate of stock price. The study found that the higher the quality of disclosure of internal control information is, the more unique information on the corporate level will be included in the stock price, less information will be explained by the market;also found that in a relatively short period of time the disclosure of high quality the internal control,such non accounting information, than the accounting information to affect the information rate of stock price is more significant.

关键词： information rate of stock price internal control defects mallat algorithm copula function

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A Phase Difference Measurement Method Based on the Extended Kalman Filter for Coriolis Mass Flowmeters

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MEASUREMENT SCIENCE REVIEW 2019年第2期19卷 48-52页

作者： Chen, Nan Fan, Shangchun Zheng, Dezhi Beihang Univ Sch Instrumentat & Optoelect Engn Beijing 100191 Peoples R China Beijing Polytech Sch Mech & Elect Engn Beijing 100176 Peoples R China

According to the characteristics of stable single-phase flow, a phase difference measurement method based on the extended Kalman filter is proposed in this paper for use with Coriolis mass flowmeters. Firstly, the mallat algorithm is applied to filter out interference signals. Then, the frequency and phase difference of the two reconstructed signals are detected through the extended Kalman filter. Compared with the sliding Goertzel algorithm or discrete time Fourier transform, the proposed method does not need to predict the signal frequency and avoids quadratic error. Simulations and experiments show that the proposed method has stronger anti-interference, higher measurement accuracy and lower relative error than the existing method based on the Hilbert transformation.

关键词： Coriolis mass flowmeter phase difference extended Kalman filter mallat algorithm

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EEG control variable algorithm and motion control strategy for toy rail car

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INTERNATIONAL JOURNAL OF EMBEDDED SYSTEMS 2019年第2期11卷 220-228页

作者： Pan, Hongguang Wang, Mei Wang, Xiaokang Lin, Jzau-Sheng Xian Univ Sci & Technol Sch Elect & Control Engn Xian 710054 Shaanxi Peoples R China Natl Chin Yi Univ Technol Dept Comp Sci & Informat Engn Taichung 41170 Taiwan

For training the thought concentration ability of hyperactivity sufferers, this paper proposed a kind of electroencephalogram (EEG) control variable extraction method and the motion control strategy. Firstly, the technologies of EEG acquisition from frontal lobe, and the wireless data transmission from the acquisition card to the Pad Phone were realised. Then, through the wavelet mallat algorithm and FFT to extract the EEG control variable, the accurate controls of start, stop, and running velocity of the toy rail car were implemented. Thirdly, the mathematical model between the velocity and the EEG control variable was established, and then the start threshold, the swerve control and the speed adjust method were accurately designed using this model, so that the delay start and the swerve speed were solved. In addition, the wireless data transmissions among the Pad Phone, the EEG acquisition module and the rail-electric potential controller were realised. Finally, it was proved that the proposed EEG control variables and the control strategy effectively fulfil the accurate speed control and the stable motion control.

关键词： electroencephalogram EEG wavelet transform mallat algorithm fast Fourier transform FFT motion control

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Passage of fractal signals via circuit with a ferroelectric capacitor with a negative capacitance

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JOURNAL OF ENGINEERING-JOE 2019年第20期2019卷 7114-7118页

作者： Abdullaev, Gadgymurad O. Agalarov, Agalar M. -Z. Potapov, Alexander A. Rassadin, Alexander A. Tronov, Anton A. RAS DSC Amirkhanov Inst Phys Dept Theoret Phys Makhachkala Russia RAS Kotelnikov Inst Radio Engn & Elect Moscow Russia Jinan Univ JNU IRE RAS Joint Lab Informat Technol & Fractal Guangzhou Guangdong Peoples R China Nizhny Novgorod Math Soc Nizhnii Novgorod Russia

In the report presented, the results of synthesis of two of the newest scientific areas, namely integrated ferroelectrics and fractal radio systems, have been shown on the simplest example. For this goal, the numerically analytical method for an approximate solution of the equation for the electric charge value on a ferroelectric capacitor with negative capacitance connected to a fractal voltage source through a series resistor has been developed. This method combines the regularisation of the input fractal signal (voltage), decomposition of obtained fractal voltage by means of Haar wavelets using the mallat algorithm, and matching of analytical expressions for charge at the constant input voltage. The accuracy of the method proposed and change of the fractal dimension of voltage before and after schemes mentioned have been discussed.

关键词： ferroelectric capacitors wavelet transforms fractals resistors approximation theory ferroelectric capacitor negative capacitance integrated ferroelectrics fractal radio systems numerically analytical method approximate solution electric charge value fractal voltage source series resistor input fractal signal constant input voltage Haar wavelets mallat algorithm analytical expression matching

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Research on signals extrapolation in the time domain based on wavelet analysis

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JOURNAL OF ENGINEERING-JOE 2019年第20期2019卷 6533-6536页

作者： Liu, Huan Ren, Hongmei Xiao, Zhihe Zhao, Tao Beijing Inst Environm Characterist R&D Ctr Beijing 100875 Peoples R China

Characteristic of modulation spectrum is important for radar targets classification and recognition, while signals with high occupation ratio cause low spectral resolution. For this case, the authors present a method for splicing sub-band based on the mallat algorithm. This method extracts the low-frequency parts in the different periods of the signals, and using the state-space method to extrapolate the signal between pulse sequence. This method sacrifices spectrum width to improve the local spectral resolution in the case of less sample data. The simulation results demonstrate that the method is effective.

关键词： extrapolation state-space methods wavelet transforms low-frequency parts state-space method local spectral resolution signals extrapolation time domain wavelet analysis modulation spectrum radar targets classification high occupation ratio cause low spectral resolution mallat algorithm

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Research on Real-time Online Detection of Breaking Time for Unipolar Contactor 3

Research on Real-time Online Detection of Breaking Time for ...

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3rd International Conference on Intelligent Green Building and Smart Grid (IGBSG)

作者： Wang, Yang Xu, Zhihong Fuzhou Univ Coll Elect Engn & Automat Fuzhou Fujian Peoples R China

ISBN: (纸本)9781538606612

A new method that implements the real-time online detection of breaking time for unipolar contactor is proposed. First of all, fast Fourier transformation (FFT) was employed to determine the characteristic band of arcing moment. After that, the optimal wavelet function was chosen based on the characteristic band, which is applied to feedback the contact instantaneous opening moment. Finally, this paper proposes time and frequency domain criterions to detect the changing point of break operation and finds out that it obtains excellent transient response capability at the time of sudden changes of the contact voltage. Hardware control modules are adopted to verify that the breaking time feedback loop based on the mallat algorithm can achieve the real-time online feedback for the breaking time of the unipolar contactor. For achieving zero-current breaking, which is of practical significance especially for the batch control, thus eliminating the disadvantage that traditional schemes require prior measurement of the breaking batch contactors.

关键词： component unipolar contactor breaking time mallat algorithm contact voltage

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Realization of Fault Detection Platform for Voltage Source Converter

Realization of Fault Detection Platform for Voltage Source C...

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IEEE International Power Electronics and Application Conference and Exposition (IEEE PEAC)

作者： He, Bingsong He, Xu Zhou, Zhiguo Qu, Chong Beijing Inst Technol Sch Informat & Elect Beijing Peoples R China

ISBN: (纸本)9781538660546

Various types of faults could occur in AC and DC sides of voltage source converters due to external interference, and the transient-state and steady-state information of these faults are difficult to recognize and distinguish. However, current research is mostly oriented to off-line simulation while real-time detection is difficult to implement. This paper aims to propose a fault detection platform based on PC+FPGA architecture to solve above problems. The high-frequency wavelet coefficients and low frequency scale coefficients obtained by mallat decomposition are used as criteria to distinguish transient state from steady state. For steady-state signals, an improved FFT algorithm is proposed for harmonic analysis. For transient-state signals, the disturbance duration is obtained through the modulus maximum point, and the modulus maximum value is used as the threshold to determine whether fault occurs or not. The wavelet entropy is calculated using high-frequency wavelet coefficients to determine the phase of the fault. Experimental results show that the platform can detect AC and DC faults and identify the fault line with high accuracy.

关键词： fault detection mallat algorithm wavelet entropy transient-state real-time

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