pdm_muti

Tcl Code for Wimax with stationary Base station

波束形成算法中一种变换形式的极坐标算法（与传统的极坐标算法不同）(Polardb is a modified version of the regular polar function.)

一个舰船噪声信号仿真建模的程序，已经测试通过，并且可以实际应用，修改参数即可仿真各类特殊的信号(A ship noise signal simulation and modeling procedures have been tested, and practical application, modify the parameters to simulation of various types of special signal)

小波包分解的MATLAB代码，代码有详细的注释，容易看懂(MATLAB code for wavelet package decomposition)

关于非线性跟踪微分器的源程序，有需要的朋友可以看一看(About nonlinear tracking differentiator source, a friend in need can take a look)

分数阶frft函数，以及利用该函数实现的一些简单滤波器及lfm函数检测等功能(Fractional frft function, as well as the use of the function to achieve some simple of filter and lfm function of detection function)

多目标跟踪的粒子滤波器，GnCeSur参数一种流形学习算法（很好用），matlab开发工具箱中的支持向量机，采用波束成形技术的BER计算，aNjewOn条件IMC-PID是利用内模控制原理来对PID参数进行计算，车牌识别定位程序的部分功能。( Multi-target tracking particle filter, GnCeSur parameter A fluid manifold learning algorithm (good use), matlab development toolbox support vector machine, By applying the beam forming technology of BER aNjewOn condition The IMC- PID is using the internal model control principle for PID parameters is calculated, Part of the license plate recognition locator feature.)

说明：  一基于子空间方法的盲信道估计程序，有英文解释。(a space-based method for the blind channel estimation procedures, English explained.)

关于Logistic回归统计算法的matlab实现，内容包括建模、输出变量预测和预测误差分析。数据来自UCI数据库中的Ionosphere database，有351个统计实例，输出变量是二分类变量，代表电波从电离层反射的好坏情况，共有32个特征值。(压缩包中包含已经处理好的数据)(on Logistic regression algorithm to achieve the Matlab, including modeling, variable output forecast and prediction error analysis. UCI data from the database Ionosphere database, Statistics are 351 examples, and the output variable is two classification variables, representatives from the ionosphere radio reflection of the good and bad, A total of 32 eigenvalue. (Compressed package contains good data already processed))

。本书首先讲述了MATLAB语言程序设计基础，然后分别介绍了符号计算在微积分和复变函数两门大学数学基础课程中的应用，接着系统的介绍了线性方程组、非线性方程与最优化方法、特征值与特征向量、插值与函数逼近、估计方法和数据拟合、积分计算、常微分方程的数值方法。从实用角度考虑，本书许多章节都给出了一些数值分析的应用范例，并在最后一章单独介绍了一些综合性较强的数学建模问题(This book starts by describing the basis of MATLAB programming language, and then introduced the symbolic computation in calculus and complex functions based on two college courses in applied mathematics, and then introduced the system of linear equations, nonlinear equations with the most optimization method, eigenvalue and eigenvector, Interpolation and function approximation, estimation and data fitting, integral calculation, numerical methods for ordinary differential equations. From a practical point of view, many of the chapters the book gives some numerical analysis are examples of the application, and separate in the final chapter describes some of the more integrated mathematical modeling)