ANSYS工程分析软件应用实例

本设计将实现一个简单计算器。其类似于Windows附件中自带的计算器。这个计算器不仅实现了简单的四则运算功能，还实现了高级的科学计算功能，而且具有简洁大方的图文外观。它的设计按软件工程的方法进行,系统具有良好的界面、必要的交互信息和较好的健壮性使用人员能快捷简单地进行操作。即时准确地获得需要的计算的结果，充分降低了数字计算的难度和节约了时间，对人们的生活有一定的帮助。在课程设计中，系统开发平台为Windows 2000XP，程序设计设计语言采用Visual C++，在程序设计中，采用了结构化与面向对象两种解决问题的方法。

Matlab提取图像的形状、纹理、颜色特征，其中纹理特征是用灰度梯度共生矩阵来实现的

哈工大与武汉大学测绘学院GPS导航预定课件，非常好

模拟光束在二维三维介质中传输，用FDTD法，Matlab语言编写

数字钟是一种用数字电路技术实现时、分、秒计时的装置，与机械式时钟相比具有更高的准确性和直观性，且无机械装置，具有更更长的使用寿命，因此得到了广泛的使用。数字钟从原理上讲是一种典型的数字电路，其中包括了组合逻辑电路和时序电路。设计指标 ① 时间以12小时为一个周期；② 显示时、分、秒；③ 具有校时功能，可以分别对时及分进行单独校时，使其校正到标准时间；④ 计时过程具有报时功能，当时间到达整点前10秒进行蜂鸣报时；⑤ 为了保证计时的稳定及准确须由晶体振荡器提供表针时间基准信号。

提取图片纹理特征，再用分类器分类，提取图片纹理特征的方法是卷积神经网络，分类器是soft max分类器

根据全国大学生电子设计竞赛题目《简易数字频率计》的要求设计，测量范围0-1Mhz ，测量精度满足题目中要求， 所用开发板为 xilinx spartan 3ES。具体设计过程可以参考博客 。http://blog.csdn.net/li200503028

数字图像处理（冈萨雷斯)+图片+代码+习题答案+书籍

FANUC机器人系统的KAREL系统由机器人，控制器和系统软件组成。它使用用KAREL编 程语言编写的程序来完成工业任务。KAREL可以操作数据，控制和与相关设备进行通信并与 操作员进行交互。配备KAREL的系统R-30iA控制器可与各种机器人模型配合使用，以处理各种应用。这意味 着常见的操作，编程和故障排除程序以及更少的备件。KAREL系统扩展到包括全系列支持产 品，如整体视觉，离线编程和特定于应用的软件包。KAREL编程语言实际上融合了像Pasca和PL / 1这样的高级语言的逻辑，类似英语的功能， 以及机器控制语言经验证的工厂车间效率。KAREL结合了高级语言通用的结构和惯例以及专

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