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Adaptive Wavelet Thresholding Denoising Used in Gravitational Signal Processing

Zhao Liye,Zhou Bailing,Li Kunyu

Strategic Study of CAE 2006, Volume 8, Issue 3,   Pages 49-52

Abstract: The signal to noise ration (SNR) is used as the index for evaluating the performance of the data processingTheoretical analysis and emulation experiments indicate that wavelet thresholding denoising, adaptivewavelet thresholding denoising and adaptive Kalman filtering are all effective in alleviating the effectsof different noise, but the performance of adaptive wavelet thresholding denoising is best.

Keywords: gravimeter     signal processing     wavelet transform     adaptive wavelet threshold     adaptive Kalman     filering    

An Adaptive Demodulation Method for BPSK Signals

Li Yanxin,Hu Aiqun,Song Yubo

Strategic Study of CAE 2006, Volume 8, Issue 5,   Pages 49-51

Abstract: paper presents a novel method for demodulating the binary phase shift keying (BPSK) signals basing on adaptiveThe commonly used least mean square (LMS) error adaptive filtering algorithm is employed for studyingthe demodulating procedure and the performance of the novel adaptive BPSK demodulation.The novel adaptive BPSK demodulation does not need the adaptive filter completing convergence.

Keywords: digital communications     adaptive signal processing     demodulation     BPSK    

Properties of a general quaternion-valued gradient operator and its applications to signal processing

Meng-di Jiang, Yi Li, Wei Liu,w.liu@sheffield.ac.uk

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 2,   Pages 83-95 doi: 10.1631/FITEE.1500334

Abstract: As an application, the derivation of the least mean square algorithm and a nonlinear adaptive algorithmon vector sensor arrays are presented as an example to demonstrate the effectiveness of the -valued signal

Keywords: Quaternion     Gradient operator     Signal processing     Least mean square (LMS) algorithm     Nonlinear adaptivefiltering     Adaptive beamforming    

Gear fault diagnosis using gear meshing stiffness identified by gearbox housing vibration signals

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0713-3

Abstract: systems, the intercoupling of structure transfer paths results in a great reduction or even change of signalTherefore, using gearbox housing vibration signal to identify gear meshing excitation signal is of greatdemonstrate the proposed method can realize gear fault diagnosis better than the original housing vibration signal

Keywords: gearbox fault diagnosis     meshing stiffness     identification     transfer path     signal processing    

Automatic image enhancement by learning adaptive patch selection None

Na LI, Jian ZHAN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 2,   Pages 206-221 doi: 10.1631/FITEE.1700125

Abstract: In this study, we propose an automatic image enhancement method based on adaptive patch selection using

Keywords: Image enhancement     Contrast enhancement     Dark channel     Bright channel     Adaptive patch based processing    

Adaptive green traffic signal controlling using vehicular communication Article

Erfan SHAGHAGHI,Mohammad Reza JABBARPOUR,Rafidah MD NOOR,Hwasoo YEO,Jason J. JUNG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 3,   Pages 373-393 doi: 10.1631/FITEE.1500355

Abstract: The importance of using adaptive traffic signal control for figuring out the unpredictable traffic congestiongained the attention of academics to replace traditional instruments for providing information for adaptivetraffic signal controlling systems (TSCSs).the suggestions of VANET-based TSCS approaches have some weaknesses: (1) imperfect compatibility of signalof the popular VANET-based related approaches called MC-DRIVE in addition to the traditional simple adaptive

Keywords: Vehicular ad hoc network (VANET)     Intelligent transportation systems (ITSs)     Clustering     Adaptive trafficsignal control     Traffic controller     Fuel consumption    

Adaptive robust beamformer formulti-pair two-way relay networks with imperfect channel state information

Jin WANG,Feng SHU,Ri-qing CHEN,Yu-di CUI,Yu CHEN,Jun LI

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 3,   Pages 265-280 doi: 10.1631/FITEE.1500134

Abstract: coefficient of the Gaussian-Markov CSI error model is modeled as a function of CSI delay, Doppler spread, and signal-to-noiseIn accordance with the real-time estimated coefficients of the error model, an adaptive robust maximumsignal-to-interferenceand- noise ratio (Max-SINR) plus maximum signal-to-leakage-and-noise ratio (Max-SLNRFrom simulation results and analysis, it is shown that: compared to existing non-adaptive beamformers, the proposed adaptive beamformer is more robust and performs much better in the sense of bit error

Keywords: Multi-pair two-way relay     Adaptive robust beamformer     Channel state information (CSI)     Maximum signal-to-interference-and-noiseratio (Max-SINR)     Maximum signal-to-leakage-and-noise ratio (Max-SLNR)    

Basic research on machinery fault diagnostics: Past, present, and future trends

Xuefeng CHEN, Shibin WANG, Baijie QIAO, Qiang CHEN

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2,   Pages 264-291 doi: 10.1007/s11465-018-0472-3

Abstract: field of machinery fault diagnosis in terms of four main aspects: Fault mechanism, sensor technique and signalacquisition, signal processing, and intelligent diagnostics.

Keywords: fault diagnosis     fault mechanism     feature extraction     signal processing     intelligent diagnostics    

Signal separation technology for diphase opposition giant magnetostrictive self-sensing actuator

Xinhua WANG, Shuwen SUN, Jian ZHEN, Qianyi YA, Deguo WANG,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 2,   Pages 176-183 doi: 10.1007/s11465-010-0001-5

Abstract: design of one important part of the circuit with the real-time separation circuit of the dynamic balance signalbased on a digital signal processor is obtained.The part of the signal separated circuit is designed, which includes logarithmic-antilog practical multiplicationsimulation software—PROTUES, the simulation effect of the circuit that separates the sensing signal

Keywords: material (GMM) self-sensing actuator     least means square (LMS) self-adapting algorithm     design of self-adaptive    

An Effective Method for Improving Silicon Micro-resonator System Performance

Xia Dunzhu,Wang Shourong,Zhou Bailing

Strategic Study of CAE 2006, Volume 8, Issue 10,   Pages 71-74

Abstract:

The working principle of silicon micro-resonator system was firstly introduced. An intelligence silicon micro-resonator system design and realization was presented in focus. Its two step working flows for roughness and fineness searching and digital interface technology were analyzed in detail. Combined with experimental data and sweeping curve, two different searching results came out under different vacuum circumstance and its working performance was well evaluated.

Keywords: direct digital synthesis (DDS)     silicon micro-resonator     AD9954     digital signal processing    

Review on flexible perovskite photodetector: processing and applications

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-023-0749-z

Abstract: optical and electrical properties, remarkable mechanical flexibility, low-cost and low-temperature processingphotodetectors, strategies for device performance enhancement, few can be seen with a focus on the processingEmphatically, processing strategies for photodetectors are presented following, including flexible substrates

Keywords: photodetector     perovskite     flexible     processing     application    

CHARACTERISTICS OF HERBIVORY/WOUND-ELICITED ELECTRICAL SIGNAL TRANSDUCTION IN TOMATO

Frontiers of Agricultural Science and Engineering 2021, Volume 8, Issue 2,

Abstract: plant species Arabidopsis has been characterized but the characteristics of electrical signalUnlike those in Arabidopsis, wounding tomato leaves did not cause leaf-to-leaf electrical signalLeaflet wounding also activated electrical signal transduction and jasmonic acid (JA) signaling withinThis work reveals the nature of electrical signal transduction in tomato and emphasizes the key rolesof GLR3.3 and GLR3.5 in electrical signal transduction and JA signaling activation.

Keywords: electrical signal / glutamate receptor-like / herbivory / jasmonic acid / tomato    

Acoustic fault signal extraction via the line-defect phononic crystals

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1,   Pages 10-10 doi: 10.1007/s11465-021-0666-y

Abstract: Rotating machine fault signal extraction becomes increasingly important in practical engineering applicationsHowever, fault signals with low signal-to-noise ratios (SNRs) are difficult to extract, especially atline-defect phononic crystals (PCs) consisting of periodic acrylic tubes with slit are proposed for weak signalThe effectiveness of weak harmonic and periodic impulse signal detection via line-defect PCs are investigated

Keywords: phononic crystals     line-defect     fault signal extraction     acoustic enhancement    

A Realization to Enhance the Signal Noise Ratio With Superposition on the Same Phase Signal

Han Xiuting,Wang Jiechun,Jiao Zhenqaing,Gao Fei,Song Yubo

Strategic Study of CAE 2005, Volume 7, Issue 10,   Pages 64-68

Abstract: The method, in which mccltiple similar signals are superposed, can not only decrease the noise in the signal

Keywords: vibrating wave     reflection wave     signal enhancement     software for superposition signal    

The role of protein kinase C epsilon in neural signal transduction and neurogenic diseases

Yuan CHEN, Qi TIAN

Frontiers of Medicine 2011, Volume 5, Issue 1,   Pages 70-76 doi: 10.1007/s11684-011-0119-9

Abstract: on cortical processing at both the single cell level and network level.could regulate distinct aspects of neural signal transduction and suggest that the coordinated actionssignal pathway in the developing brain.

Keywords: signal transduction     neurogenic disease    

Title Author Date Type Operation

Adaptive Wavelet Thresholding Denoising Used in Gravitational Signal Processing

Zhao Liye,Zhou Bailing,Li Kunyu

Journal Article

An Adaptive Demodulation Method for BPSK Signals

Li Yanxin,Hu Aiqun,Song Yubo

Journal Article

Properties of a general quaternion-valued gradient operator and its applications to signal processing

Meng-di Jiang, Yi Li, Wei Liu,w.liu@sheffield.ac.uk

Journal Article

Gear fault diagnosis using gear meshing stiffness identified by gearbox housing vibration signals

Journal Article

Automatic image enhancement by learning adaptive patch selection

Na LI, Jian ZHAN

Journal Article

Adaptive green traffic signal controlling using vehicular communication

Erfan SHAGHAGHI,Mohammad Reza JABBARPOUR,Rafidah MD NOOR,Hwasoo YEO,Jason J. JUNG

Journal Article

Adaptive robust beamformer formulti-pair two-way relay networks with imperfect channel state information

Jin WANG,Feng SHU,Ri-qing CHEN,Yu-di CUI,Yu CHEN,Jun LI

Journal Article

Basic research on machinery fault diagnostics: Past, present, and future trends

Xuefeng CHEN, Shibin WANG, Baijie QIAO, Qiang CHEN

Journal Article

Signal separation technology for diphase opposition giant magnetostrictive self-sensing actuator

Xinhua WANG, Shuwen SUN, Jian ZHEN, Qianyi YA, Deguo WANG,

Journal Article

An Effective Method for Improving Silicon Micro-resonator System Performance

Xia Dunzhu,Wang Shourong,Zhou Bailing

Journal Article

Review on flexible perovskite photodetector: processing and applications

Journal Article

CHARACTERISTICS OF HERBIVORY/WOUND-ELICITED ELECTRICAL SIGNAL TRANSDUCTION IN TOMATO

Journal Article

Acoustic fault signal extraction via the line-defect phononic crystals

Journal Article

A Realization to Enhance the Signal Noise Ratio With Superposition on the Same Phase Signal

Han Xiuting,Wang Jiechun,Jiao Zhenqaing,Gao Fei,Song Yubo

Journal Article

The role of protein kinase C epsilon in neural signal transduction and neurogenic diseases

Yuan CHEN, Qi TIAN

Journal Article