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( 基于FPGA的乐曲硬件演奏电路设计的实现(有完整的VHDL代码).rar )
做论文 小设计 没有问题 用FPGA 简单的实现一个小开发
- 2020-12-10下载
- 积分：1
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适合Linux初学者的两本经典书籍
《LINUX 就该这么学.pdf》带书签，《鸟哥的Linux私房菜-基础篇 第四版.pdf》，都是非扫描版。
- 2021-05-06下载
- 积分：1
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惯性导航程序
MATLAB环境下，采用m语言编写的纯惯导解算的程序，基于当地导航坐标系，采用的解算顺序为姿态解算——速度解算——位置解算，选用WGS-84坐标系
- 2020-11-30下载
- 积分：1
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FAM和SSCA算法的matlab源程序-detection and identification of signal
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
- 2020-12-05下载
- 积分：1
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BLUETOOL1.4.3.9
Broadcom的程序下载工具，也可进行RF测试等操作，非常好用，请注意，在安装此工具之前，要先安装ActivePerl-5.8.4.810-MSWin32-x86;
- 2021-05-06下载
- 积分：1
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空间平面的最小二乘拟合
最小二乘法原理以及其平面拟合c++实现代码
- 2020-12-06下载
- 积分：1
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DSP6678GPIO中断程序
在DSP6678下面产生中断，有底层实现代码，中断跳转，中断机理，实现的过程注释。中断向量表。
- 2020-12-10下载
- 积分：1
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Xamarin移动开发Get、Post服务请求源码
VS2017 下Xamarin移动开发Get,Post服务请求源码封装，支持实体对象直接发送Request请求： var result = HttpClientHelper.GetInstance.PostT("GetStoreTVProductInfo", request);注意：Json转换使用的Newtonsoft.Json.dll需要使用新版本，我一并放入了压缩包，可直接引用。
- 2020-11-27下载
- 积分：1
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基于监控视频的前景目标提取matlab
有程序和资料。17年华为杯数学建模D题，针对问题一，在静止背景条件下，提取运动前景目标轮廓，首先处理视频，生成单帧数据，针对不含纯背景帧的视频采用帧间差分法，对含背景帧的视频数据采用背景差分法。两种方法都可以准确提取静止背景下的前景目标轮毂，最后进行形态学的补充处理，达到预期的效果。针对问题二，分析动态背景每一帧之间都大面积的不同，因此使用帧差法的结果会出现大量的噪点。采取混合高斯模型(GMM)对动态的背景进行建模，采用一定帧数的图像来训练模型，从而实现实时更新的背景模型，过滤掉背景变化对目标提取的影响，可以准确提取前景目标。针对问题三，考虑摄像头抖动造成图像的变化，因此考虑首先去抖动，对
- 2020-12-05下载
- 积分：1
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MATLAB风机的demo
MATLAB风力发电的demo程序，包括风力发电系统的各个部分
- 2020-11-29下载
- 积分：1
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