est_SNR2

FIR滤波器中汉宁窗和布莱克曼窗幅频特性曲线和相频特性曲线对比(FIR filter Hanning window and Blackman window of amplitude-frequency curve and phase frequency response curve compared)

Object-oriented programming (OOP) - Simple sales

阵列信号处理方面，基于相关矩阵的稀疏重构，利用cvx工具箱求解；DOA估计(In array signal processing, sparse reconstruction based on correlation matrix is solved by CVX toolbox, and DOA estimation is used)

solution to nonlinear equations use secant method

Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */

说明：  无线通信原理系统应用中用到的MATLAB仿真，对与学习无线通信原理及MATLAB都很有帮助滴(pricinples of communication system simulation with wireless aplications with MATLAB)

labwindows/CVI的虚拟仪器设计(电子版) 本书详细地介绍了应用当前信号分析与处理新技术来设计不同测量功能的虚拟仪器的工作原理和方法。内容包括虚拟仪器设计的方法和步骤，I/O接口设备的软件驱动，LabWindows/CVI与MATLAB语言的接口，以及基于自相关伪随机系统辨识、神经网络、小波变换、模糊理论等技术虚拟仪器设计的方法和技巧。 本书内容新颖丰富、论述简洁，提供了大量典型的实例。本书可作为大专院校教科书，也可作为工程技术人员和科技工作者学习设计虚拟仪器的自学用书。(labwindows/CVI virtual instrument design (electronic version) the book details on the application current signal analysis and processing technology to design new measurement functions of different virtual machines, the principle and method. Including virtual instrument design methods and steps, I/O interface of the software-driven equipment, LabWindows/CVI and MATLAB language interface, Based on the correlation of pseudo-random system identification, neural network, wavelet transform, Fuzzy theory virtual instrument technology design methods and techniques. The contents are rich novel, concise exposition, a large number of typical examples. This book tertiary textbooks can also be used as engineering and technical workers should study the design of virtual instrument self-learning bo)

基于卡尔曼滤波器的一些经典的匀加速运动跟踪(Based on some of the classic Kalman filter tracking of uniformly accelerated motion)

parzen窗对概率密度函数的估计matlab程序(parzen window )

说明：  这是一个基于PQ控制的逆变并网模型，可以完美运行。(PQ control, perfect operation.)