particle-filter

system will automatically

statistical methods in order to extract image texture descriptors. In particular, we will focus on the Co-occurrence matrices and the Energy filters (Laws filters). They are well-known texture descriptors, fast and easy to implement and provide good results that could be used in a posterior step to perform image segmentation and object recognition.(statistical methods in order to extract image texture descriptors. In particular, we will focus on the Co-occurrence matrices and the Energyfilters (Laws filters). They are well-known texture descriptors, fast and easy to implement and provide good results that could be used in aposterior step to perform image segmentation and object recognition.)

matlab环境下编写的fft算法实现的源代码(prepared environment matlab algorithm fft source code)

说明：  轴系设计计算-4 人字架结构尺寸的优化设计-1 曲线拟合和多项式拟合-2(Shaft design calculation-4 Renzi Jia Structural size optimization of the design curve fitting and polynomial fitting-1-2)

扩展卡尔曼滤波算法的matlab，很好用的(malman ，it is very good 。)

matlab蓝噪声，白噪声，粉红噪声的GUI(matlab blue noise, white noise, pink noise GUI)

a beginer s guide to matlab, english version

相控阵天线的方向图（切比雪夫加权），与理论分析结果相比，小波包分析提取振动信号中的特征频率。( Phased array antenna pattern (Chebyshev weights), Compared with the results of theoretical analysis, Wavelet packet analysis to extract vibration signal characteristic frequency.)

这是一个简单的FFT为无电位1 +1 +1 Ð 薛定谔方程的光束传播方法。如果该软件灵活，允许引入的术语（如果是极少数需要包括色散效应高阶导数）。例如，如果一个人渴望解决的一个方程的形式： （四/ dz的+ Ð ^ 2/dx ^ 2 - 0.25 * Ð ^ 3/dx ^ 3）== 0 Ÿ 它可以解决使用以下代码： Ž = linspace（0,1,512） x = linspace（-5,5,1024） psi0 =进出口（- x的。^ 2） Ð = D_lateral1D（十，2）-0.25 * D_lateral1D（十，3） 字段= LinearBPM（psi0，有D，Z） 凡D_lateral1D是一个函数，提供“取代”的微分算子。 这个函数是在一个非线性的BPM，我曾对（分步，谱方法等），将提交给我，当我完成他们的文件和组织功能更复杂的设置非常初期阶段。 (This is a simple FFT based beam propagation method for potential-free 1+1+1D Schrodinger equation. The software if flexible and allows to introduce high-order derivatives in the term (very handful if is needed to include dispersion effects). For example, if one desires to solve an equation in the form: (d/dz+ d^2/dx^2- 0.25*d^3/dx^3)Y == 0 It can be solved using the following code: z=linspace(0,1,512) x=linspace(-5,5,1024) psi0=exp(-x.^2) D=D_lateral1D(x,2)-0.25*D_lateral1D(x,3) field=LinearBPM(psi0,D,z) Where D_lateral1D is a provided function that "replaces" the derivative operator. This function is a very early stage in a more complex set of non-linear BPM functions that I have made (split-step, spectral methods, etc.) and I will submit them when I finish their documentation and organization. Sorry for my English, I m eager for your comments. )

OFDM传输系统基本Matlab仿真程序，信道模型为AWGN/多径瑞利信道，调制方式可选择QPSK/16QAM/64QAM(OFDM transmission system basically Matlab simulation program, channel model for AWGN/Multipath Rayleigh channel, selectable modulation QPSK/16QAM/64QAM)