能量算子解调matlab程序

网上的SGP4代码大多都是基于c写的，这个matlab代码是我花钱在程序员网站下的，这里分享给大家了！

有关labview界面的几个例子，以及一些界面设计的文章，对界面设计有需求的可以参考一下 【核心代码】 LabVIEW界面设计的风水 ├── Demos│   ├── Demo 1 前景背景色│   │   └── FrontBackColor.vi│   ├── Demo 2 Graph透明色│   │   └── Graph.vi│   ├── Demo 3 自定义控件│   │   ├── Customized Control.vi│   │   └── Moving Pics.vi│   ├── Demo 4 粒子加速器│   │   └── LabVIEW HMI Demo│   │       ├── EXE│   │       │   ├── SR Light.aliases│   │       │   ├── SR Light.exe│   │       │   ├── SR Light.ico│   │       │   ├── SR Light.ini│   │       │   └── Thumbs.db│   │       └── Source Code│   │           ├── Accelerators Interface.aliases│   │           ├── Accelerators Interface.lvproj│   │           ├── Controls│   │           │   ├── SR Light.ico│   │           │   ├── Thumbs.db│   │           │   ├── about.rtm│   │           │   ├── flash.ctl│   │           │   ├── flash1.ctl│   │           │   ├── stop.ctl│   │           │   └── stop1.ctl│   │           ├── Documentation│   │           │   ├── Thumbs.db│   │           │   ├── background.bmp│   │           │   ├── help.txt│   │           │   └── report.doc│   │           ├── HMI  网页说明.doc│   │           ├── HMI help.doc│   │           └── subvi│   │               ├── About Menu Bar.vi│   │               ├── initialization.vi│   │               ├── light.vi│   │               ├── main.vi│   │               ├── move--booster.vi│   │               ├── move--linear.vi│   │               ├── move--ring.vi│   │               ├── s--light.vi│   │               ├── s--move-booster.vi│   │               ├── s--move-linear.vi│   │               └── s--move-ring.vi│   ├── Demo 5 XControl│   │   ├── Calculator XControl│   │   │   ├── Calculator Example.vi│   │   │   ├── Calculator XControl Project.aliases│   │   │   ├── Calculator XControl Project.lvproj│   │   │   └── XControl│   │   │       ├── Calculator XControl.xctl│   │   │       ├── Controls│   │   │       │   └── Format.ctl│   │   │       ├── Data 1.ctl│   │   │       ├── Facade 1.vi│   │   │       ├── Init 1.vi│   │   │       ├── State 1.ctl│   │   │       └── subVIs│   │   │           ├── Format Number.vi│   │   │           └── Substitute Constants.vi│   │   ├── LEDXCtrl│   │   │   ├── LED Display.rtm│   │   │   ├── LED Display.xctl│   │   │   ├── LED Probe.ctl│   │   │   ├── LED-ASCII Code to Character Grid.vi│   │   │   ├── LED-Change text.vi│   │   │   ├── LED-Ctl2Ind.vi│   │   │   ├── LED-Data.ctl│   │   │   ├── LED-Facade.vi│   │   │   ├── LED-Init.vi│   │   │   ├── LED-New Text.vi│   │   │   ├── LED-Set Text_Label.vi│   │   │   ├── LED-Set Text_Tag.vi│   │   │   ├── LED-State.ctl│   │   │   ├── LED-ctrl ref scroll.vi│   │   │   ├── LED-single iteration scroll.vi│   │   │   ├── ProjectLED.aliases│   │   │   ├── ProjectLED.lvproj│   │   │   ├── Read_Me.vi│   │   │   └── XCtrl-State Changed.vi│   │   └── TF Graph│   │       ├── Daemon.vi│   │       ├── Domain Read.vi│   │       ├── Domain Write.vi│   │       ├── Domain.ctl│   │       ├── Example.vi│   │       ├── TF Graph.xctl│   │       ├── data.ctl│   │       ├── facade.vi│   │       ├── init.vi│   │       └── state.ctl│   ├── Demo 8 布局│   │   ├── Align Unplug.vi│   │   └── Aligned.vi│   └── Demo 9 Mouse Busy│       └── Mouse Busy.vi└── LabVIEW界面设计的风水(2009).pdf20 directories, 79 files

系统辨识大牛Ljung编写的MATLAB系统辨识使用手册，这本书详细地介绍了在MATLAB已经所属simulink环境下，系统辨识工具箱的一些使用办法，是一本非常经典的教材！Revision Historypril 1988First printingJuly 1991Second printingMay1995Third printingNovember 2000 Fourth printingRevised for Version 5.0(Release 12)pril 2001Fifth printingJuly 2002Online onlyRevised for Version 5.0.2 Release 13)June 2004Sixth printingRevised for Version 6.0.1(Release 14)March 2005Online onlyRevised for Version 6.1.1Release 14SP2)September 2005 Seventh printingRevised for Version 6.1.2(Release 14SP3)March 2006Online onlyRevised for Version 6.1.3(Release 2006a)September 2006 Online onlyRevised for Version 6.2 Release 2006b)March 2007Online onlyRevised for Version 7.0 ( Release 2007a)September 2007 Online onlyRevised for Version 7.1 (Release 2007bMarch 2008Online onlyRevised for Version 7.2(Release 2008a)October 2008Online onlyRevised for Version 7.2.1 Release 2008b)March 2009Online onlyRevised for Version 7.3(Release 2009a)September 2009 Online onlyRevised for Version 7.3.1(Release 2009b)March 2010Online onlyRevised for Version 7. 4 (Release 2010a)eptember2010 Online onlyRevised for Version 7.4.1(Release 2010b)pril 2011Online onlRevised for Version 7.4.2(Release 2011a)September 2011 Online onlyRevised for Version 7.4.3(Release 2011b)March 2012Online onlyRevised for Version 8.0( Release 2012aabout the DevelopersAbout the Developersystem Identification Toolbox software is developed in association with thefollowing leading researchers in the system identification fieldLennart Ljung. Professor Lennart Ljung is with the department ofElectrical Engineering at Linkoping University in Sweden. He is a recognizedleader in system identification and has published numerous papers and booksin this areaQinghua Zhang. Dr. Qinghua Zhang is a researcher at Institut Nationalde recherche en Informatique et en Automatique(INria) and at Institut deRecherche en Informatique et systemes Aleatoires (Irisa), both in rennesFrance. He conducts research in the areas of nonlinear system identificationfault diagnosis, and signal processing with applications in the fields of energyautomotive, and biomedical systemsPeter Lindskog. Dr. Peter Lindskog is employed by nira dynamiAB, Sweden. He conducts research in the areas of system identificationsignal processing, and automatic control with a focus on vehicle industryapplicationsAnatoli Juditsky. Professor Anatoli Juditsky is with the laboratoire JeanKuntzmann at the Universite Joseph Fourier, Grenoble, france. He conductsresearch in the areas of nonparametric statistics, system identification, andstochastic optimizationAbout the developersContentsChoosing Your System Identification ApproachLinear model structures1-2What Are Model objects?Model objects represent linear systemsAbout model data1-5Types of Model objectsDynamic System Models1-9Numeric Models1-11umeric Linear Time Invariant (LTD Models1-11Identified LTI modelsIdentified Nonlinear models1-12Nonlinear model structures1-13Recommended Model Estimation Sequence1-14Supported Models for Time- and Frequency-DomainData,,,,,,,1-16Supported Models for Time-Domain Data1-16Supported Models for Frequency-Domain Data1-17See also1-18Supported Continuous-and Discrete-Time Models1-19Model estimation commands1-21Creating Model Structures at the command Line ... 1-22about system Identification Toolbox Model Objects ... 1-22When to Construct a Model Structure Independently ofEstimation1-23Commands for Constructing Model Structures1-24Model Properties1-25See als1-27Modeling Multiple-Output Systems ......... 1-28About Modeling multiple-Output Systems1-28Modeling Multiple Outputs Directly1-29Modeling multiple outputs as a Combination ofSingle-Output Models.......1-29Improving Multiple-Output Estimation Results byWeighing Outputs During Estimation ....... 1-30Identified linear Time-Invariant models1-32IDLTI Models1-32Configuration of the Structure of Measured and Noise oRepresentation of the Measured and noise Components foVarious model Types1-33Components ....1-35Imposing Constraints on the Values of ModeParameters1-37Estimation of Linear models1-8Data Import and Processing2「Supported Data ...2-3Ways to Obtain Identification DataWays to Prepare Data for System Identification ... 2-6Requirements on Data SamplingRepresenting Data in MATLAB Workspace·····Time-Domain Data Representation2-9Time-Series Data Representation2-10ContentsFrequency-Domain Data Representation ....... 2-11Importing Data into the Gui2-17Types of Data You Can import into the GUi2-17Importing time-Domain Data into the GUI2-18Importing Frequency-Domain Data into the GUI2-22Importing Data Objects into the GUI ......... 2-30Specifying the data sampling interval2-34Specifying estimation and validation Data2-35Preping data Using Quick StartCreating Data Sets from a Subset of Signal Channelo2-362-37Creating multiexperiment Data Sets in the gUi2-39Managing data in the gui ............. 2-46Representing Time- and Frequency-Domain Data Usingiddata object2-55iddata constructor2-55iddata Properties.........2-58Creating Multiexperiment Data at the Command Line .. 2-61Select Data Channels, I/O Data and Experiments in iddataObjects2-63Increasing Number of Channels or Data Points of iddataObjects2-67Managing iddata Objects2-69Representing Frequency-Response Data Using idfrdObiec2-76idfrd Constructor2-76idfrd Properties2-77Select I/o Channels and Data in idfrd Objects ..... 2-79Adding Input or Output Channels in idfrd Objects2-80Managing idfrd Objects2-83Operations That Create idfrd Objects2-83Analyzing Data quality2-85Is your data ready for modeling?2-85Plotting Data in the guI Versus at the command line2-86How to plot data in the gui2-86How to plot data at the command line2-92How to Analyze Data Using the advice Command2-94Selecting Subsets of Data2-96IXWhy Select Subsets of Data?2-96Extract Subsets of Data Using the GUI2-97Extract Subsets of data at the Command Line2-99Handling Missing Data and outliers2-100Handling missing data2-100Handling outliers2-101Extract and Model Specific Data Segments2-102See also2-103Handling offsets and Trends in Data2-104When to detrend data2-104Alternatives for Detrending Data in GUi or at theCommand-Line2-105Next Steps After detrending2-107How to Detrend Data Using the Gui2-108How to detrend data at the Command line2-109Detrending Steady-State Dat109cending transient Dat2-109See also2-110Resampling Data2-111What Is resampling?...,,.,,,,,,,,,,,.2-111Resampling data without Aliasing Effects2-112See also2-116Resampling data Using the GUi.,,,,2-117Resampling Data at the Command line2-118Filtering Data2-120Supported Filters2-120Choosing to Prefilter Your Data2-120See also2-121How to Filter Data Using the gui2-122Filtering Time-Domain Data in the GuI........ 2-122Content

CNN识别手写数字，很好的机器学习初心者学习资料，里面包含了MATLAB代码和详细的注释，可以直接运行

时间复杂度（渐近时间复杂度的严格定义，NP问题，时间复杂度的分析方法，主定理） 排序算法（平方排序算法的应用，Shell排序，快速排序，归并排序，时间复杂度下界，三种线性时间排  序，外部排序） 数论（整除，集合论，关系，素数，进位制，辗转相除，扩展的辗转相除，同余运算，解线性同余方程，中国剩余定理）指针（链表，搜索判重，邻接表，开散列，二叉树的表示，多叉树的表示）按位运算（and，or，xor，shl，shr，一些应用）图论（图论模型的建立，平面图，欧拉公式与五色定理，求强连通分量，求割点和桥，欧拉回路，AOV问题，AOE问题，最小生成树的三种算法，最短路的三种

【实例简介】述职报告 PPT

雷达系统分析与设计 MATLAB Mahafza 第三版。

图像质量评价全参考MSSSIM算法，可以直接运行

利用MATLAB ＧＵＩ设计实现一个图形用户界面的计算器程序。1.具有友好的用户图形界面。实现十进制数的加、减、乘、除、乘方、取模等简单计算。2.科学计算函数，包括(反)正弦、(反)余弦、(反)正切、(反)余切、开方、指数等函数运行。3.能够保存上次历史计算的答案，先是答案存储器中得内容。4.有清除键，能清除操作，并对不正确的表达式能指出其错误原因。

资源包括BPSK信号的生成、蒙特卡罗仿真程序、能量检测法程序、还有各种信噪比与检测概率之间的关系程序和曲线图。