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MATLAB学习的好资料，主要是matlab的一些命令学习……(MATLAB learning good information, mostly matlab learning some commands ... ...)

LMS算法自适应滤波器的Matlab仿真分析.(LMS matlab fangzhenchengxu.)

（1） 分别采集一段浊音和清音语音信号（是你自己说的），采样率为8KHZ，量化精度为16比特线性码； （2） 分析帧长取为30ms（或10ms～50ms）； （3） 根据语音信号倒谱分析和LPC谱分析的编程流程图（图2.1、图2.2）编制浊音语音信号谱分析的matlab程序，上机调试给出相应波形，并根据图形，观察共振峰情况； （4） 将语音信号换为清音语音，运行程序，与浊音语音的运行结果进行比较，并得出结论。 （5） 在LPC谱分析中，改变阶数p （p分别等于4、8、12、40）时，观察对谱包络的影响，并与信号谱（DFT谱）进行比较。 ( voice signal processing)

编写matlab的gui函数进行处理的代码，基本上包括处理里面的最基本处理，比如读取文件，几何变换中的垂直镜像，平移，旋转，缩放；正交变换的DFT，FFT，QdNXwK，DWashT；灰度处理中的反色，直方图均衡，全局线性变换，分段线性变换，指数非线性变换，对数非线性变换；增强里面的加噪声，hcTofgR方法，锐化，伪彩色增强；分割里面的灰度阈值法，调试可以运行的。 (Write the gui matlab image processing function code, basically including the most basic image processing inside the process, such as reading the file, the geometric transformation of the vertical mirroring, translation, rotation, scaling orthogonal transformation DFT, FFT, QdNXwK , DWashT anti-gray color processing, histogram equalization, global linear transformation, piecewise linear transformation, a nonlinear transformation index, the number of non-linear transform image enhancement which increases the noise,hcTofgR method, sharpening, pseudo-color enhancement image segmentation inside the gray threshold, debugging can run. )

《MATLAB神经网络30个案例分析》中的第20个例子，案例20 神经网络变量筛选—基于BP的神经网络变量筛选。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of example, 20 cases of 20 neural network variable selection- based on BP neural network of variable selection. Hope to have certain help to everybody!)

说明：  有序统计均值类恒虚警检测器（OSCAGO and OSCASO CFAR），综合了CA和OS检测器的特点。(detectors based on ordered statistic and cell averaging constant false alarm rate (OSCA-CFAR))

The function of channel estimation is to form an estimate of the amplitude

《系统辨识与MATLAB仿真.pdf》 侯媛彬 汪梅 王立琦 本书共分8章，第1、2章为辨识的基本概念、理论基础和古典辨识方法；第3至6章为现代辨识内容，其中第3章是最小二乘参数辨识，第4章是梯度校正参数辨识，第5章是极大似然法的参数辨识方法，第6章是自适应参数辨识；第7、8章为复杂的非线性系统的智能辨识和混沌辨识，其中第7章是非线性系统的神经网络辨识；第8章是Volterra辨识方法、复杂系统的混沌现象及其辨识。从第2至7章，各章均包含开发的相应程序及其程序剖析。 (" System Identification and MATLAB simulation. Pdf" Hou Yuanbin Wang Mei Wang Liqi book is divided into eight chapters, Chapters 1 and 2 for the identification of the basic concepts, theoretical foundation and classical identification methods first 3-6 chapters of modern identification content, Chapter 3 is the least squares parameter identification, Chapter 4 is the gradient correction parameter identification, Chapter 5 is the maximum likelihood parameter identification method, Chapter 6 is an adaptive parameter identification Chapters 7 and 8 for complex Intelligent identification of nonlinear systems and chaos identification, which is in Chapter 7 of the neural network nonlinear system identification Chapter 8 is Volterra identification method, complex systems and chaos identification. From the first 2-7 chapters, each chapter contains procedures for the development of appropriate programs and their analysis.)

IDA插件HexRaysCodeXplorer. Hex-Rays Decompiler plugin for easier code navigation. Right-click context menu in the Pseudocode window shows HexRaysCodeXplorer plugin commands(HexRaysCodeXplorer ================== Hex-Rays Decompiler plugin for better code navigation :octocat: __Authors and Contributors__: Aleksandr Matrosov ([@matrosov](https://github.com/matrosov)) Eugene Rodionov ([@rodionov](https://github.com/rodionov)) __HexRaysCodeXplorer__- Hex-Rays Decompiler plugin for easier code navigation. Right-click context menu in the Pseudocode window shows HexRaysCodeXplorer plugin commands: )

基带数字信号调制方法总结.包括ASK PSK FSK(Baseband digital signal modulation methods are summarized, including ASK PSK FSK)