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花卉识别程序+数据集
亲测可以直接运行,先运行CNN训练神经网络,再运行predict进行花卉预测。
- 2020-06-26下载
- 积分:1
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水果识别代码
该代码用于图像分类,分割识别。其中包括特征提取。图像处理,把一幅图片中不同类型的水果进行自动分类,识别
- 2020-12-02下载
- 积分:1
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STM32 HAL 库开发实战指南—基于 F7
本书参考资料为:《 STM32F76xxx 参考手册》和《 Cortex®-M7 内核编程手册》,这两本是 ST 官方的手册,属于精华版,面面俱到,无所不包。限于篇幅问题,本书不可能面面具到,着重框图分析和代码讲解,有关寄存器的详细描述则略过,在学习本书的时候,涉及到寄存器描述部分还请参考这两本手册,这样学习效果会更佳
- 2021-05-06下载
- 积分:1
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MFC实现简单网络聊天程序
MFC实现简单网络聊天程序,利用Visual C++中MFC实现的网络socket程序,简单实现了网络聊天的功能。程序中有服务器程序和客户端程序。很好的学习资源。了SDcksoce类型确定G落户端服务器名称职消C服务器端端口号连接关闭消息发送发送接收soCksket类型确定C客尸端服务器名称「职消眼多器端端口号监听关闭单自发送发送接收新建类回网类的类型: MFC Class确定- class information取消NatMyocetFile nMySocket. cppChange.Base class:CAsyncSocketDialog IDThe base class does not require a dialog resource.AutomatioC Nonf Automationc Createable ty tyne inr MySockiMy SocketThe base class does not support automation.= ER MySack classes中 CAboutDlgpublic:+t ChySockADDf uperation官 CMySockDlgpubliCMuLSockett口 GlobalsGo to definitionAdd Memk点 ad Member variab1e点 ud VE Ludt futchAdd Windows Message Handler套 Referencesd classesBase Classe式 dd to ga11C Hey Folder,ap by Accessy Docking ViewHi deropertCass.JRes0…目Fle.A/AFX INSEHew virtual Override for class IySocketNew virtual FunctionsExisting virtual function overrides确定OnAcceptOnclose取消CoNnectOnOutof BanddataAdd HandlerOnReceiveOnsenAdd and editReceiveSendEdit ExistingOnAcceptu: Called to notify a sacket that it may call AcceptHey Virtual Override for class sOcketNew Virtual FunctionsExisting virtual function overrides确定OnOutoiBandDataAcCeptReceiveOnclose取消enCoNnectOnReceiveAdd HandlerOnSend and editEdit ExistingOnSendl: Called when the socket can send datasocket类型确定C客户端服务器名称Edt取消广服务器端蒲口号Edit连接关闭消息ditAdd夏 ember Function发送Member function name:OKOn ConnectCancel接收Message: BN_CLICKEDObject ID: IDC BCONNECT=l EP My Sock classesif(nError Cc语 CAboutDigCAsonycSockt CMySockApp"L CMySockDlg+. MySocketGo to Definit自 GlobalsGo To Dialog EditorAdd Member functionAdd Member variableAad Virtual FunctionAdd Windows: Message handleRefeBase classesAdd to Gallery画 Folder甲 by Aceessv Docking ViHi de會 Properties((CHySECAsyncsockCass,°Res0,Fie…添加成品函数配区函数类型m:void确定数描述取消OnAcceptiAccess厂 StaticPublicProtectedPrivate厂rual
- 2021-05-06下载
- 积分:1
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圣诞礼物 圣诞树 圣诞软件
圣诞快到了,谁都希望送给好友圣诞礼物,哈哈,我这里有个小小圣诞树,希望和大家分享。
- 2020-11-29下载
- 积分:1
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STC12C5A60S2配套例程
STC12C5A60S2单片机配套例程,内容很详细,便于自学。
- 2020-12-09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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python支付宝爬虫获取个人账单
python支付宝爬虫获取个人账单,抓取PC版本支付宝账单信息
- 2020-11-28下载
- 积分:1
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json数据的转换工具
用来转换.json文件,不用手动的去操作,只需放在json文件目录下,运行即可
- 2020-12-06下载
- 积分:1
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多张图片同时在三维空间中显示(matlab版本)
为本人原创代码,用matlab实现多张图片同时在三维空间中显示,有例程,代码可直接运行。
- 2020-12-04下载
- 积分:1