多特征融合的目标跟踪

卷积编码器自身具有网格结构，基于此结构我们给出两种译码算法：Viterbi译码算法和BCJR 译码算法。基于某种准则，这两种算法都是最优的。

压缩包里有一个内含1000个24位十六进制数的txt文件，假定这1000个数据为当前的RFID标签，本程序实现了从文件读取数据，转换格式后进行识别，并转换为原格式后按识别顺序输出到txt文档中，附带了记录程序运行时间的功能。注释略多，看不惯可以自己删，不过我也是出于让大家看懂的目的写的。如果明年有也写这个作业的学弟学妹，请不要照抄我的代码，希望大家能独立思考，我的这个只是一个参考，编程遇到问题可以联系我bhuhyq@foxmail.com，我很乐于提供帮助。

我用matlab自己写的一个三维粒子群算法的程序，不是很精简，有简化的空间，但是功能还是很全面的，注释略多，看不惯可以自己删哈哈

FAM和SSCA算法的matlab源程序-detection and identification of signalFAM和SSCA算法的matlab源程序-detection and identification of signalDISCLAIMER NOTICEMTHIS DOCUMENT IS BESTQUALITY AVAILABLE. THECOPY FURNISHED TO DTICCONTAINED A SIGNIFICANTNUMBER OF PAGES WHICH DONOT REPRODUCE LEGIBLY.ilApproved for public release; distribution is unlimitedDETECTION AND IDENTIFICATION OF CYCLOSTATIONARY SIGNALSEvandro luiz da costaLieutenant Commander, brazilian NavyB.S., Instituto Militar de Engenharia, 1980Submitted in partial fulfillmentof the requirements for the degree ofMASTER OF SCIENCE IN ELECTRICAL ENGINEERINGANDMASTER OF SCIENCE IN ENGINEERING ACOUSTICSfrom theNAVAL POSTGRADUATE SCHOOLMarch 1996Author.Evandrodk da costaapproved byRQ求Ralph Hippenstiel, Thesis Co-AdvisorRoberto Cristi, Thesis Ca-AdvisoiHerschel. Loomis, Jr, hairmanDepartment of Electrical and Computer EngineeringArthony A. Atchley / ChairmanEngineering Acoustics Academic CommitteeABSTRACTPropeller noise can be modeled as an amplitude modulated(AM) signalCyclic Spectral Analysis has been used successfully to detect the presence ofanalog and digitally modulated signals in communication systems. It can also identithe type of modulation. Programs for Signal Processing based on compiledlanguages such as FORTRAN or C are not user friendly, and MATLAB basedprograms have become the de facto language and tools for signal processingengineers worldwideThis thesis describes the implementation in mAtlab of two fast methods ofcomputing the Spectral Correlation Density(SCD)Function estimate, the FFTAccumulation Method (FAM)and the Strip Spectral Correlation Algorithm( SSCA),toperform Cyclic Analysis. Both methods are based on the Fast Fourier transformFFT)algorithm. The results are presented and areas of possible enhancement forpropeller noise detection and identification are discussedTABLE OF CONTENTSINTRODUCTIONA MOTIVATION,P,中“····*s···:···:B BACKGROUNDC THESIS GOALSIL NOISE IN THE OCEAN··+A TYPES OF UNDERWATER NOISE25561. Ambient Noise番申2. Self noise3. Radiated noise8B RADIATED NOISE FROM SHIPS, SUBMARINES AND TORPEDOES.......8C PROPELLER NOISE10lI CYCLOSTATIONARY PROCESSING15A CYCLOSTATIONARIT15B THE CYCLIC AUTOCORRELATION FUNCTION (ACF)17C THE SPECTRAL CORRELATION DENSITY FUNCTION (SCD)18N. ESTIMATION OF THE SPECTRAL CORRELATION DENSITY FUNCTION23A FFT ACCUMULATION METHOD(FAM)25B STRIP SPECTRAL CORRELATION ALGORITHM(SSCA■D28V. EXPERIMENTAL RESULTSA. ANALOG-MODULATED SIGNALS311. Amplitude Modulated(AM)Signal===2-312. Pulse-Amplitude Modulated(PAM) Signal58B DIGITAL-MODULATED SIGNALS1. Amplitude Shift Keying(ASK) Signal中中非昏号即即号自唱即自曲音非带卡.最662. Binary-Phase Shift Keying(BPSK) Signal6了VI CONCLUSIONS81A SUMMARY81B SUGGESTIONS82APPENDIX A-CALCULATION OF THE SCD FUNCTION OF AN AMPLITUDE-MODULATED SIGNAL83APPENDIX B-FUNCTION AUTOFAM95APPENDIX C-FUNCTION AUTOSSCA99APPENDIXD-FUNCTION CROSSFAM103APPENDIX E-FUNCTION CROSSSSCA109APPENDIX F-PLOTTING ROUTINES113LIST OF REFERENCES115INITIAL DISTRIBUTION LIST看音117INTRODUCTIONA. MOTIVATIONPropeller related acoustic signatures typically exhibit modulationcharacteristics. These modulation characteristics originate from the cavitationprocess that takes place in the water due to the cyclic movement of the propellerThe cavitation process is basically the collapse of air and vapor bubblesdue to variations in the static pressure. These variations in static pressure are aconsequence of the passage of the propeller blades through the water. Thismovement, cyclic in nature, causes amplitude modulation in the static pressureand as a consequence an amplitude-modulated(AM) signal can be detected in areceiverCyclostationary processing techniques have been used to detect andlentify analog and digital communication signals very successfully. Thesetechniques have the advantage of using a more realistic model for the signalthan the stationary model used in most of the more conventional signalprocessing techniquesB BACKGROUNDThe basic elements of cyclic spectral analysis are the time-variant cyclicperiodogram and the time-variant cyclic correlogram. These two functions form aFourier transform pair. This fact is known as the cyclic Wiener relation or thecyclic Wiener-Khinchin relation [Ref. 1: p. 49.1

基于stm32开发的简易示波器，使用了stm32自带的adc采样所以速率只能到达几十K。但是对于刚学习示波器使用的孩子，很有借鉴意义。

《数据预处理之剔除异常值及平滑处理》这个书籍教材介绍了一类这样的方法，帮助大家理解。

（本人 小论文 代码，通过验证）本文提出一种新的FIR滤波器FPGA实现方法。讨论了分布式算法原理，并提出了基于分布式算法FIR滤波器的实现方法。通过改进型分布式算法结构减少硬件资源消耗，用流水线技术提高运算速度，采用分割查找表方法减小存储规模，并在Matlab和Modelsim仿真平台得到验证。为了节省FPGA逻辑资源、提高系统速度，设计中引入了分布式算法实现有限脉冲响应滤波器(Finite Impulse Response, FIR)。由于FIR滤波器在实现上主要是完成乘累加MAC的功能，采用传统MAC算法设计FIR滤波器将消耗大量硬件资源。而采用分布式算法 (Distri

目录第一章 引言 21.1编写目的和意义 21.2背景及发展史 31.2.1课题背景 31.2.2企业信息管理系统的发展史 31.3定义 缩写词 略语 41.4参考资料 4第二章 需求分析 52.1需求概述 52.1.1设计目标 52.1.2用户的特点 52.2需求描述 62.2.1企业信息管理系统的总需求目标 62.2.2数据需求 62.2.3功能性需求概述 62.2.4假定与约束 72.2.5系统模型 7第三章 需求规定 123.1对功能的规定 123.2对性能的规定 123.2.1精度 123.2.2时间特性要求 133.2.3灵活性 13

用c++模拟直线插补和圆弧插补实例一http://blog.csdn.net/z893345329/article/details/25922857

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