引文
[1]高晋占.微弱信号检测[M].北京:清华大学出版社,2004:154-166.
[2]刘俊.微弱信号测技术[M].北京:电子工业出版社,2005:26-32.
[3]陈正涛.微弱信号相关检测技术综述[J].科技广场,2006(7):111-112.
[4]李一兵,岳欣,等.多重自相关函数在微弱正弦信号检测中的应用[J].哈尔滨工程大学学报,2004,25(4):525-528.
[5]LIU J F,LIU J Y.Application of cross-correlation algo-rithm in radio weak signal detection[C]∥CommunicationNetworks and Services Research Conference.New Bruns-wick:[s.n.],2009:440-442.
[6]章正宇,眭晓林.激光测距弱信号数字相关检测技术的研究和仿真[J].中国激光,2002(7):661-665.
[7]HUANG C L,ZHOU Y Y.Cyclic correlation detectionmethod applied to weak LFM signals in muItiplicative Noise[C]∥Signal Processing,2004.Proceedings.ICSP′04.Bei-jing:[s.n.],2004,1:5-8.
[8]刘红丽,李昌禧.一种测量微弱信号的锁定放大电路设计[J].武汉理工大学学报(交通科学与工程版),2002,26(5):619-621.
[9]邹燕,冯丽爽,等.锁定放大器在微弱光信号检测中的应用[J].电测与仪表,2005,42(11):15-17,41.
[10]蔡屹.基于双相锁相放大器的微弱信号矢量测量[J].微计算机信息,2007,23(25):111-112,228.
[11]焦光龙,付红卫,等.提高取样积分器稳定性的平衡取样法[J].空军工程大学学报,2001,2(2):85-87.
[12]杨兴国,郭勇.基于DSP的取样数字式平均器的设计与实现[J].微计算机信息,2007,23(5):179-181.
[13]张国新,许德昌.信号时域平均算法研究[J].南方冶金学院学报,2008,29(1):42-45.
[14]艾延廷,盛元生.时域分析技术在齿轮故障检测中的应用[J].振动测试与诊断,1992,12(4):44-49.
[15]陈韶华,相敬林.一种改进的时域平均法检测微弱信号研究[J].探测与控制学报,2003,25(4):56-59.
[16]李志华.功率谱估计在微弱信号检测中的应用[J].大连海事大学学报(自然科学版),1998,24(1):102-104.
[17]陈明杰.心率变异信号采集及其功率谱分析的研究[D].重庆:重庆大学,2002.
[18]SUN M G,ROBERT J.Sclabassi enhancing weak signalcomponents in time-frequency distributions by waveletpre-processing[C]∥Acoustics,Speech and Signal Pro-cessing.Istanbul:[s.n.],2000,2:673-676.
[19]王仲生,何红.小波分析在发动机早期故障识别中的应用研究[J].西北工业大学学报,2006,24(1):68-71.
[20]WAN J L,XIA P.Wavelet transform and its applicationto laser pulse detection[C]∥Innovative Computing Infor-mation and Control.Dalian:[s.n.],2008:387-387.
[21]STASZEWSKI W J.Wavelet based compression and fea-ture selection for vibration analysis[J].Journal of Soundand Vibration,1998,211(5):735-760.
[22]陶然,邓兵.分数阶Fourier变换在信号处理领域的研究进展[J].中国科学(E辑),2006,36(2):113-136.
[23]HALDUN M OZAKTAS.Digital computation of the frac-tional fourier transform[J].IEEE Transactions on Signal Pro-cessing,1996,44(9):2141-2150.
[24]BARSHAN B,AYRULU B.Fractional fourier transformpre-processing for neural networks and its application toobject recognition[J].Neural Networks,2002,15(1):131-140.
[25]QI L.Detection and parameter estimation of multicomponentLFM signal based on the fractional fourier transform[J].Sci-ence in China Series F:Information Sciences,2004,47(2):184-198.
[26]ZHANG Y L,ZHANG Q Y.Biomedical signal detectionbased on fractional fourier transform[C]∥Proceedings ofthe 5th International Conference on Information Technolo-gy and Application in Biomedicine.Shenzhen:[s.n.],2008:349-352.
[27]董建华.分数谱与高阶谱估计技术在地震储层预测中的应用研究[D].北京:中国地质大学,2008.
[28]伍言真,丘水生.非线性系统理论及混沌研究的动态和评述[J].电路与系统学报,1997,2(3):62-66.
[29]DAVID R B.An introduction to polyspectra[J].The An-nals of Mathematical Statistics,1965,36(5):1351-1374.
[30]STEVEN M.Kay Spectrum Analysis-A Modern Per-spective[C]∥Proceedings of the IEEE.USA:[s.n.],1981,69(11):1380-1419.
[31]贾继德.应用高阶时频分析方法诊断汽油机故障[J].内燃机工程,2009(1):80-83.
[32]KAI M HOCK.Narrowband weak signal detection byhigher order spectrum[J].IEEE Transactions on SignalProcessing,1996,44(4):874-879.
[33]杨江天,陈家骥.基于高阶谱的旋转机械故障征兆提取[J].振动工程学报,2001,14(1):13-18.
[34]李志农,丁启全.转子裂纹的高阶谱分析[J].振动与冲击,2002,21(1):60-62.
[35]兰华,石要武.混合噪声背景下正弦参数估计的互高阶谱Pisarenko方法[J].计量学报,2001,22(1):69-76.
[36]李金屏.利用BP神经网络从强噪声背景中提取弱信号[J].济南大学学报(自然科学版),2001,15(3):195-197.
[37]丁学军,邱天爽.a稳定分布噪声环境下基于神经网络的信号检测方法[J].电讯技术,2005,45(3):34-38.
[38]翟卫青,王化冰.RBF神经网络在传感器故障诊断中的应用研究[J].山西电子技术,2006(5):31-33.
[39]刘安,刘春生.基于RBF神经网络的非线性系统故障诊断[J].计算机仿真,2007,24(2):141-144.
[40]ZHU L L,LI X C.Transient weak signal detection inchaos based on RBF neural network[C]∥Neural Net-works and Brain.Beijing:[s.n.],2005,2:776-780.
[41]林红波,李月.检测混沌背景中微弱正弦信号的神经网络方法[J].仪器仪表学报,2005,26(1):36-40.
[42]DONG J X,CHING Y S.A fast SVM train algorithm[J].International Journal of Pattern Recognition and ArtificialIntelligence,2003,17(3):455-474.
[43]SUYKENS J A K,VANDEWALLE J.Least squares sup-port vector machine classifiers[J].Neural Processing Let-ters,1999,9(3):293-300.
[44]杜京义,侯媛彬.混沌背景中微弱谐波信号检测的SVM方法[J].仪器仪表学报,2007,28(3):555-559.
[45]汪辉,皮道映,孙优贤.支持向量机在线训练算法及其应用[J].浙江大学学报(自然科学版),2004,38(12):1642-1645,1649.
[46]HUANG N E.The empirical mode decomposition and thehilbert spectrum for nonlinear and non-stationary time se-ries analysis[C]∥Proceedings of the Royal Society.Bei-jing:[s.n.],1998,454:903-995.
[47]RILLING G,FLANDRIN P.On empirical mode decom-position and its algorithms[C]∥IEEE-EURASIP Work-shop on Nonlinear Signal and Image Processing.Grado:[s.n.],2003:1-5.
[48]BOUZID A,ELLOUZE N.Maximum error in discreteEMD decomposition of periodic signals[C]∥Digital SignalProcessing.Wales:[s.n.],2007:563-566.
[49]KOPSINIS Y,MCLAUGHLIN S.Investigation and per-formance enhancement of the empirical mode decomposi-tion method based on a heuristic search optimization ap-proach[J].IEEE Transactions on Signal Processing,2008,56(1):1-13.
[50]李月,杨宝俊.混沌振子检测引论[M].北京:电子工业出版社,2004:29-48.
[51]裴留庆,顾勇.混沌与噪声[J].电子学报,1991,19(6):80-90.
[52]HAYKIN S,L X B I.Detection of signals in chaos[C]∥Proceedings of the IEEE.USA:[s.n.],1995,83:95-122.
[53]马丽萍,石炎福.含噪声混沌信号的小波去噪方法研究[J].信号处理,2002,18(1):83-87.
[54]王一清,宋爱国.一种用于混沌信号去噪的循环相关算法[J].仪器仪表学报,2005,26(4):403-406.
[55]姜万录,王益群.齿轮故障的混沌诊断识别方法[J].机械工程学报,1999(6):44-47.
[56]李月,杨宝俊.色噪声背景下微弱周期脉冲信号的混沌检测方法[J].电子与信息学报,2003,25(2):195-199.
[57]WANG G Y,CHEN D L.The Application of chaotic os-cillators to weak signal detection[J].IEEE Transaction onIndustrial Electronic,1999,46(2):440-444.
[58]李楠,刘福.微弱信号检测的3种非线性方法[J].电力自动化设备,2008,28(4):82-86.
[59]李楠,赵东成.电机转子系统早期故障可视化检测的差分振子法[J].电力自动化设备,2007,27(6):74-77,107.
[60]QU L S,LIN J.A difference resonator for detecting weaksignals[J].Measurement ISSN 0263-2241,1999,26(1):69-77.
[61]BENZI R L.The mechanism of stochastic resonance[J].JPhys A,1981,14(5):453-457.
[62]VIDYASAGAR M.New directions of research in nonlin-ear system theory[C]∥Proceedings of the IEEE.USA:[s.n.],1986,74:1060-1091.
[63]邵菊花,李立萍.基于随机共振的不同非线性系统的微弱信号检测性能分析[J].电子对抗,2008(3):6-10.
[64]LUO X D,GUO F.Stochastic resonance in an asymmetricmono-stable system subject to two periodic forces and multi-plicative and additive noise[J].Commun Theor Phys,2009,51(2):283-286.
[65]徐寒松.单稳态系统应用于加性高斯白噪声信号检测[J].吉林大学学报(工学版),2007,37(1):182-187.
[66]杨祥龙,汪乐宇.一种强噪声背景下弱信号检测的非线性方法[J].电子与信息学报,2002,24(6):811-815.
[67]ABBAS W,MUHAMMAD A SAQIB.Criteria for thedetection of weak signals through a nonlinear bi-stablesystem[C]∥Multitopic Conference.Islambael:[s.n.],2006:74-78.
[68]SONG H Y,SHAO X G.A study on the detection ofweak photoacoustic signals by stochastic resonance[J].Fresenius Journal of Analytical Chemistry,2001,370(8):1087-1090.
[69]祝恒江,李蓉.利用随机共振在强噪声下提取信息信号[J].物理学报,2003,52(10):2404-2408.
[70]ZHAO W L,GUO L H.The adaptive detection and applica-tion of weak signal based on stochastic resonance[C]∥Mechatronic and Embedded Systems and Applications.Bei-jing:[s.n.],2006:1-3.
[71]ASDI A S,TEWJIK A H.Detection of weak signals usingadaptive stochastic resonance[C]∥Acoustics,Speech andSignal Processing.Detroit:[s.n.],1332-1335.
[72]杨祥龙,江波.小信号检测中的自适应随机共振技术[J].自动化仪表,2004,25(1):8-10.
[73]FANG Q X,WANG Y L.Application of adaptive sto-chastic resonance in noise restrain[C]∥Radar.Damas-cus:[s.n.],2006:1-3.
[74]戴桂平,刘彬.基于小波去噪和EMD的信号瞬时参数提取[J].计量学报,2007,28(2):158-162.
[75]刘树林,赵海峰,齐波,等.基于经验模态分解及自相关分析的微弱信号提取方法[J].大庆石油学院学报,2007,31(5):80-84.
[76]赵艳菊.强噪声背景下的经验模式分解研究[J].振动与冲击,2009,28(3):149-151.
[77]KANG L,MI W J.Research on weak signal detectiontechnique for electromagnetic ultrasonic inspection system[C]∥Industrial Electronics and Applications.Singapore:[s.n.],2008:2394-2399.
[78]孙永军,吕福平.基于小波变换相干积累的微弱信号检测[J].电子对抗技术,2003,18(5):7-10.
[79]ZHANG W,GE L L.Application of wavelets and neuralnetworks to detect weak signal[C]∥Intelligent Controland Automation.Chongqing:[s.n.],2008:7000-7004.
[80]黄强,高世伦.基于小波理论变换和神经网络的柴油机故障诊断方法的研究[J].柴油机设计与制造,2006,14(1):9-14.
[81]聂春燕,石要武.基于互相关检测和混沌理论的弱信号检测方法研究[J].仪器仪表学报,2001,22(1):32-35.
[82]李月,杨宝俊,等.微弱周期脉冲信号的取样积分-混沌系统联合检测方法[J].电子与信息学报,2003,25(12):1653-1657.
[83]梁军利,杨树元.基于随机共振的微弱信号检测[J].电子与信息学报,2006,28(6):1068-1072.
[84]HOU Z F,YANG J.Weak signal detection based on stochas-tic resonance combining with genetic algorithm[C]∥Commu-nication Systems.Singapore:[s.n.],2008:484-488.
[85]杨兴国,郭勇.基于DSP的取样数字式平均器的设计与实现[J].微计算机信息,2007,23(5):179-181.
[86]杜学峰,武杰.基于PCI的双通道高速数据采集累加系统[J].数据采集与处理,2006,21(3):367-370.
[87]刘晓东,吴斌.淹没在噪声中的微弱信号提取方法研究[J].大连民族学院学报,2005,7(3):28-30.
[88]COR J KALKMAN.LabVIEW:A software system for dataacquisition,data analysis,and instrument control[J].Journalof Clinical Monitoring and Computing,1995,11(1):51-58.
[89]于杰,李川勇.基于LabVIEW的心电信号采集系统的设计[J].生物医学工程与临床,2001,5(3):131-133.
[90]LIU P.A novel electrocardio signal detection and analysissystem based on virtual instruments[C]∥ElectronicMeasurement and Instruments.Xian:[s.n.],2007:232-236.
[91]WEI Y S.A weak signal de-noising method based on vir-tual instrument technology[C]∥Electronic Measurementand Instruments.Xian:[s.n.],2007:332-335.
[92]YANG Y.Periodical weak signal detection based on lab-VIEW[C]∥Neural Networks and Signal Processing.Zhejiang:[s.n.],2008:285-288.