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这是根据提交的亚历山大Gramfort的“MATLAB的网状到PDF与三维交互对象“。他的计划将允许网数字转换成3D PDF格式。然而，他的代码只允许一个层进行转换，并不会启用的透明度。 本意见书不创建最终的PDF。它产生的U3D文件，然后可以使用到PDF的Adobe Acrobat Pro文件插入。本文件还允许多层网格，以创建，并为每个层的透明度指定。 此代码包含一个函数（installGoogleArchive.m），它会自动下载并安装所需的中间数据格式转换（IDTF）进入最后的通用3D（U3D）文件的二进制文件。此代码还只包括转换器的Windows版本。(This submission is based on Alexandre Gramfort s "matlab-mesh-to-pdf-with-3d-interactive-object". His program allows meshes to be converted into 3D PDF figures. However, his code only allows a single layer to be converted, and does not enable transparency. The present submission does not create the final PDF. It generates the U3D file which can then be inserted into a PDF file using Adobe Acrobat Pro. This submission also allows multilayer meshes to be created, and for the transparency of each layer to be specified. This code includes a function (installGoogleArchive.m) which will automatically download and install binaries required to convert the intermediate data format (IDTF) file into the final Universal 3D (U3D) file. This code also only includes the windows version of the converter.)

this file is an imlementation of PII scheme of PAPR reduction for MCMs Scheme

matlab与simulink通信系统建模与仿真实例分析。 本書系統地介紹了通信建模仿真方法和模型驗證技術，並結合作者近年在教學科研中所設計的大量基礎的和較深入的建模仿真實例，詳細討論了Matlab/Simulink作為仿真實現平台在電子與通信工程中應用的基本方法、技巧和難點。本書重點討論了建模仿真原理和相關的數值計算方法、模擬通信系統、模數轉換、調製與編碼、信道模擬、載波與符號同步、信道均衡、跳頻系統和直接擴頻系統、通信模型正確性評估、仿真數據驗證和數據處理技術等內容，並在仿真實例中展示了科學研究論文和報告所必須的數據處理和表現技巧。 本書提供了約150個建模仿真實例，80多道思考題，以及全部實例代碼和一個電子教案。這些實例根據基本數學原理，結合Simulink的S函數編程，也使用了通信工具箱、信號處理工具箱和相關模型庫的模塊和函數，以便於讀者追源求本，深入理解建模和仿真的實質。 本書可作為高等院校通信工程、電子信息類專業的本科生和研究生系統仿真課程的教材或進行相關課題研究的參考書，也可作為相關專業課程設計和畢業設計等綜合性實踐教學的指導材料，還可供通信工程專業技術人員、教師等作為解決通信系統設計、評估和建模仿真領域實際問題的參考資料。(matlab and simulink communications system modeling and simulation case study. This book describes the methods and models of communication modeling and simulation verification technology, combined with the author in recent years in teaching and research in the design of a large number of basic and more in-depth modeling and simulation examples are discussed in detail Matlab/Simulink Simulation as an electronic platform the basic method of communicating with the project application, skills and difficulties. This book focuses on the modeling and simulation, and the related numerical methods, analog communication system, analog to digital conversion, modulation and coding, channel simulation, carrier and symbol synchronization, channel equalization, frequency hopping spread spectrum system and direct system, a communication model is correct content uation, simulation, data validation and data processing technology, and scientific research papers and reports show the necessary data process)

该程序完成了一个DPSK通信系统的仿真，用均匀随机数发生器产生01比特对，用差分编码将每2比特符号映射到4种信号点中之一个，绘制出了DPSK的误码率。( This procedure has completed a DPSK communications system s simulation, produces 01 bit right with the even random number generator, maps with the differential coding every 2 bits marks to of 4 kind of signal locations, drew up the DPSK error rate. )

巴克码信号处理的计算机仿真巴克码信号处理的计算机仿真(Barker code signal processing computer simulation Barker code signal processing computer simulation)

【matlab编程代做】使用两个图像输入模糊C+-均值图像分割 可以做为参考使用学习([Do] matlab program generation using two image input fuzzy C+- mean value can be used as a reference image segmentation using learning)

实现扩频里随机信号和伪码序列的产生，以及关于生成扩频序列的MATLAB程序，并用载波信号实现2PSK调制,在接收端用非相干差分积分实现捕获(Spread spectrum signal generated in the realization and pseudo random code sequence, and generate MATLAB program about spreading sequences and achieve 2PSK modulation carrier signal at the receiving end with the capture of non-coherent differential integrator)

实现了PWM整流的功能，并网闭环控制，稳定直流电压。(The function of PWM rectifier is realized, and the closed loop control is connected to the grid, and the DC voltage is stabilized.)

基于二维自适应异小波基小波变换的规则纹理缺陷检测(Texture defect detection based on the rule of two-dimensional adaptive wavelet transform different wavelet)

This project provides matlab class for implementation of convolutional neural networks. This networks was developed by Yann LeCun and have sucessfully used in many practical applications, such as handwritten digits recognition, face detection, robot navigation and others (see references for more info). Because of some architectural features of convolutional networks, such as weight sharing it is imposible to implement it using Matlab Neural Network Toolbox without it s source modifications.