云南高校图书馆联盟文献共享服务平台- CEPSTRUM

CEPSTRUM: 作品数：27被引量：40H指数：3; 导出分析报告; 相关领域：电子电信更多>>; 相关作者：郭祥云魏富胜许忠淮尹永莫鸿强更多>>; 相关机构：中国地震局地球物理研究所华南理工大学上海交通大学北京化工大学更多>>; 相关期刊：《Science Bulletin》《High Technology Letters》《Journal of Pharmaceutical Analysis》《Earthquake Science》更多>>; 相关基金：国家自然科学基金地震行业科研专项国家重点基础研究发展计划国家高技术研究发展计划更多>>

Detection and Classification on Amateur Drones Based on Cepstrum of Radio Frequency Signal被引量：4: 《Transactions of Nanjing University of Aeronautics and Astronautics》2021年第4期597-606,共10页GUAN Xiangmin MA Jianxiang ZHANG Weidong; co-supported by the National Natural Science Foundation of China (Nos. U1933130,71731001,1433203,U1533119);the Research Project of Chinese Academy of Sciences (No. ZDRW-KT-2020-21-2)。; As a prospective component of the future air transportation system,unmanned aerial vehicles(UAVs)have attracted enormous interest in both academia and industry.However,small UAVs are barely supervised in the current s...; 关键词：drone detection radio frequency signal CEPSTRUM machine learning

A novel approach for extracting pulse rate,respiratory rate and heart rate from photoplethysmogram被引量：3: 《Journal of Measurement Science and Instrumentation》2021年第2期188-194,共7页WANG Huimin YANG Lu LIANG Xingyu; Photoplethysmogram(PPG)is a noninvasive method for detecting human cardiovascular pulse wave using optical technology.The PPG containing a lot of physiological information is from the MIMIC database.This paper propose...; 关键词：photoplethysmogram(PPG) pulse rate(PR) respiratory rate(RR) heart rate(HR) CEPSTRUM

A bearing fault feature extraction method based on cepstrum pre-whitening and a quantitative law of symplectic geometry mode decomposition被引量：3: 《Journal of Southeast University(English Edition)》2021年第1期33-41,共9页Chen Yiya Jia Minping Yan Xiaoan; The National Natural Science Foundation of China(No.52075095).; In order to extract the fault feature of the bearing effectively and prevent the impact components caused by bearing damage being interfered with by discrete frequency components and background noise,a method of fault...; 关键词：cepstrum pre-whitening symplectic geometry mode decomposition EIGENVALUE quantitative law feature extraction

Deceptive Chinese speech detection based on sparse decomposition of cepstral feature: 《Chinese Journal of Acoustics》2019年第1期99-112,共14页FAN Xiaohe ZHAO Heming CHEN Xueqin ZHOU Yan; supported by the National Natural Science Foundation of China(61372146);the Natural Science Foundation of Jiangsu Province(BK20131196);the youth found of Natural Science Foundation of Jiangsu Province(BK20160361); In order to improve the performance of deception detection based on Chinese speech signals, a method of sparse decomposition on spectral feature is proposed. First, the wavelet packet transform is applied to divide th...; 关键词：CEPSTRUM features VOICE DETECTION Chinese SPEECH SIGNAL

Extraction of Echo Characteristics of Underwater Target Based on Cepstrum Method被引量：3: 《Journal of Marine Science and Application》2017年第2期216-224,共9页Hongjian Jia Xiukun Li Xiangxia Meng Yang Yang; Supported by the National Natural Science Foundation of China under Grant No. 51279033, and National Science Foundation of Heilongjiang Province, China under Grant No. F201346; The analysis and characteristic extraction of target echo characteristics are important in underwater target detection and recognition. Rigid acoustic scattering components are generally used as major echo contributor...; 关键词：UNDERWATER target rigid scattering ECHOES time delay CHARACTERISTICS CEPSTRUM wavelet enhancement ECHO characteristic

Moving target detection in the cepstrum domain for passive coherent location(PCL) radar: 《Frontiers of Information Technology & Electronic Engineering》2015年第9期785-795,共11页Ji-chuan LI Xiao-de LU Hui ZHANG Peng-cheng YANG Yu LIU Mao-sheng XIANG; A cepstrum moving target detection （CEPMTD） algorithm based on cepstrum techniques is proposed for passive coherent location （PCL） radar systems. The primary cepstrum techniques are of great success in recognizing...; 关键词：Moving target detection Cepstrum techniques Cross ambiguity fimction （CAF） Passive coherent location （PCL）radar

Voice conversion using structured Gaussian mixture model in cepstrum eigenspace被引量：2: 《Chinese Journal of Acoustics》2015年第3期325-336,共12页LI Yangchun YU Yibiao; supported by the Natural Science Foundation of China(61271360);the Application Fundamental Research Project of Suzhou(SYG201230); A new methodology of voice conversion in cepstrum eigenspace based on structured Gaussian mixture model is proposed for non-parallel corpora without joint training. For each speaker, the cepstrum features of speech ar...; 关键词：LPCC Voice conversion using structured Gaussian mixture model in cepstrum eigenspace ES GMM

Forensic Seismology and Boundary Element Method Application vis-à-vis ROKS Cheonan Underwater Explosion被引量：2: 《Journal of Marine Science and Application》2013年第4期422-433,共12页So Gu Kim; On March 26,2010 an underwater explosion(UWE)led to the sinking of the ROKS Cheonan.The official Multinational Civilian-Military Joint Investigation Group(MCMJIG)report concluded that the cause of the underwater explo...; 关键词：CEPSTRUM SPECTROGRAM BUBBLE pulse TOROIDAL BUBBLE boundary element method ICCP forensic SEISMOLOGY underwater explosion

Learning Based Falling Detection Using Multiple Doppler Sensors: 《Advances in Internet of Things》2013年第2期33-43,共11页Shoichiro Tomii Tomoaki Ohtsuki; Automated falling detection is one of the important tasks in this ageing society. Such systems are supposed to have little interference on daily life. Doppler sensors have come to the front as useful?devices to detect...; 关键词：FALLING DETECTION DOPPLER Sensor CEPSTRUM Analysis SVM K-NN

Heart Murmur Recognition Based on Hidden Markov Model: 《Journal of Signal and Information Processing》2013年第2期140-144,共5页Lisha Zhong Jiangzhong Wan Zhiwei Huang Gaofei Cao Bo Xiao; Heart murmur recognition and classification play an important role in the auscultative diagnosis. The method based on hidden markov model (HMM) was presented to recognize the heart murmur. The murmur was isolated on b...; 关键词：HEART MURMUR WAVELET Threshold DE-NOISING Mel Frequency CEPSTRUM Hidden MARKOV Model

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