ICA-wind-prediction

LMS自适应滤波算法原理与仿真。希望对大家有帮助(LMS adaptive filtering algorithm principle and simulation)

This folder Contains one file file of code of cognitive femtocell, second computing distance and third also computing path loss. We consider smart “cognitive” femtocells, that can decode the base station control channel and make decision on their transmission opportunities based on the scheduling and resource allocation of the overlaying macrocell. The operation of such femtocells is somehow reminiscent of “Type II” relays, as specified in the IEEE 802.16j standard. Under certain system assumptions, we consider the tradeoff region of the macrocell versus aggregate femtocell throughput

利用matlab仿真产生线性调频信号，并实现线性调频信号的匹配滤波。(Using matlab simulation to generate LFM signal and realize matched filtering of LFM signal.)

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. )

短时傅立叶变换应用示例，展示了如何实现三个点频信号在时域上的分离。(Short time fourier transform application example, showing how to set apart three different signals with different frequencies in time domain.)

4QAM、16QAM、32QAM、64QAM、128QAM、256QAM星座图映射，map、频偏估计算法(4QAM, 16QAM, 32QAM, 64QAM, 128QAM, 256QAM constellation mapping, map, frequency offset estimation algorithm)

Ordered-Statistics CFAR Processor for non-homogenous environments

ofdm关键技术在matlab中的实现，毕业设计论文(ofdm in matlab implementation)

matlab从入门到高级进阶的必备好书，看了以后，希望对大家学习matlab有很高的提高！(matlab from entry to senior advanced essential books, looking after, in the hope that everyone has a very high learning matlab improve!)

Numerical solutions for ODEs