FAST检测角点+SIFT特征描述符描述角点（MATLAB）

【汉化完成度】：80%完成，除了一些无法汉化的（中文会变方块）地方，以及找不到汉化位置的地方，其他如向导、描述等都完成了汉化。【说明】：1.仅供学习，请勿用于商业用途2.下载后把文件复制到Workbench的文件夹中，右键点击“解压到当前文件夹”即可，全部点替换。默认路径是：C:Program FilesMySQLMySQL Workbench 8.0 CE，根据你自己安装的路径更改即可3.复制前请注意备份整个工作台文件夹4.适用于Workbench 8.0.12版本（2018年8月左右发布），这个版本以下的版本使用汉化可能会存在问题5.如遇汉化问题，或者有意见建议，可以发

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

jink v8刷写固件过程中进入bootload模式下win7，8驱动程序

一个园区的obj模型,并附有部分纹理.同时还有高德地图加载3dobj模型实例

这是用SMT32做MP3的全套资源，包括PCB，原理图和程序

粒子群算法（PSO）工具箱，及其使用简介。有最普通的PSO算法的简单例子。

并详细介绍了小波变换、Contourlet 变换、NSCT 变换的一般原理。基于小波变换的 GSM 模型去噪具有很好的去噪效果。利用高斯尺度混合模型来描述 NSCT系数的特性，并用贝叶斯最小二乘估计来估计待恢复图像的 NSCT 系数，实验表明该方法去噪时能更好保留图像纹理信息和获得更高峰值信噪比。

完整的简单二阶系统中的混沌现象分析，包括相图、分岔图、李氏指数谱等。

Python学习区块链入门代码。区块中数据使用MerkleTree结构，包含挖矿模拟等内容。代码易读，适合初步入门学习。

航空订票系统管理系统(Web版 全套源码 安装即用)本系统是一个完整的JSP-JAVA应用项目，合适有初步JSP编程经验的朋友们提高和学习之用。系统含全套源码，合适朋友们在此基础上举一反三结合实际开发出优秀的JSP应用系统。学生毕业设计好教材!本系统是WEB模式的航空订票系统管理系统运行环境:Tomact+JDK编程模式：JSP+JavaBean+JavaServlet后台数据库：MS-Access系统主要完成的功能如下： _订票信息管理功能 _客机信息管理功能