state_control

用Kalman滤波方法估计目标航迹的Matlab源程序(this study is Kalman Filter algorithm of a very good process)

小波分解详细过程源码。此代码由本人将网上下载的程序改进了一下，并加了例子。其功能与matlab自带的函 数wavedec一致，由于自带的函数理解比较困难不方便改进，我改的程序简洁，方便大家理解该函数的意义和原理。 (This code will be downloaded from the program, I improved a bit, and added examples. Its function with matlab built-in function wavedec the same, due to built-in function is more difficult to understand inconvenient to improve, I changed the program is simple for everyone to understand the meaning of the functions and principles. )

matlab7.0 绘图绘图ppt，很详细的说(matlab7.0 Drawing drawing PPT, very detailed said )

基于量子遗传算法的matlab程序，可以在matlab上顺利运行(Based on quantum genetic algorithm matlab program can run smoothly in matlab)

通过对基4快速傅里叶的介绍，使用matlab实现了基4快速傅里叶变化(Through the radix-4 Fast Fourier presentation, using matlab to achieve a base four fast Fourier transform)

通信原理上机实验-基于Matlab 的数字基带和频带调制系统-4ASK调制解调系统MATLAB源程序(On communication theory machine experiment- Matlab-based digital baseband and band modulation system-4ASK MATLAB source code modulation and demodulation system)

对于matlab初学者来说，想成为matlab编程高手的话，这本书正是你所需要的。(For the matlab beginners, want to become a master matlab programming, then this book is what you need)

说明：  该资料用于学习matlab界面编程，对于初学者可以达到事半功倍的效果，能快速入门(The information is used to learn the matlab interface programming for beginners can achieve a multiplier effect, to Quick Start)

利用MATLAB负折射率材料 导纳矩阵法(Negative refractive index materials using MATLAB admittance matrix)

1．通过实验加深对快速傅立叶变换（FFT）基本原理的理解。 2．了解FFT点数与频谱分辨率的关系，以及两种加长序列FFT与原序列FFT的关系。 离散傅里叶变换（DFT）和卷积是信号处理中两个最基本也是最常用的运算，它们涉及到信号与系统的分析与综合这一广泛的信号处理领域。实际上卷积与DFT之间有着互通的联系：卷积可化为DFT来实现，其它的许多算法，如相关、滤波和谱估计等都可化为DFT来实现，DFT也可化为卷积来实现。(1. Deepen the experimental fast Fourier transform (FFT) the basic tenets of understanding. 2. Understand the FFT spectrum and points of the resolution, and two extended sequence with the original FFT FFT relations. Discrete Fourier Transform (DFT) and the convolution of two signal processing is the most commonly used basic arithmetic, they relate to the signal and system analysis and synthesis of the wide range of signal processing field. DFT actually convolution and interoperability between contact : DFT into convolution can be achieved in many other algorithms, If relevant, filtering and spectral estimation could be achieved as DFT, DFT into convolution can be achieved.)