weinakalman

分数阶傅里叶变换，主要对SAR信号进行处理，使数据处理量大大减少。(Fractional Fourier transform, mainly on the SAR signal processing, the data processing is greatly reduced.)

亲测可用的EMD分析，直接调用改函数即可。具体可看代码说明部分，或者在matlab里help emd(EMD analysis of pro-test available, direct call function can be changed. Specific instructions can look at the code section, or help emd in matlab in)

经典MUSIC测向算法的编程，对于初学者会很有用的。(a code of MATLAB for classical MUSIC algorithm, which is useful for new.)

The time is calculated and converted to 64-bit in the first and second lines and then converted to local time zone before being converted to a SYSTEMTIME structure. Last of all the system time is set.

一个实现vc与matlab接口的程序，可在vc构建的平台上实现matlab的函数调用(a realization vc Matlab interface with the procedures in vc build on the platform to achieve the function call Matlab)

说明：  DFS优先算法Matlab代码，十分强大！(DFS first algorithm Matlab code is very powerful!)

雷达系统仿真，模拟接收信号同噪声叠加过程(Simulate the operation in a radar communication system. Delay of the recieving signal and the noise addition is demonstrated.)

This is a galerkin numerical solver. This is a galerkin numerical solver. This is a galerkin numerical solver. This is a galerkin numerical solver.

为了客观和定量的评价上述不同融合方法用于多聚焦图像融合的性能，根据图像自身统计特性对其进行评价，在无标准参考图像的情况下选取均清晰度即平均梯度、空间频域、信息熵、标准差四个参数综合评价各方法的融合性能(为了客观和定量的评价上述不同融合方法用于多聚焦图像融合的性能，根据图像自身统计特性对其进行评价[11,18]，本文在无标准参考图像的情况下选取均清晰度即平均梯度、空间频域、信息熵、标准差四个参数综合评价各方法的融合性能)

= lorentzfit （× ） lorentzfit 符合输入（× ）与罗伦兹功能的形式 “ （× ）= 1 / （（- 2）^ 2 + 3号） 输入 ：因变量值[ 是] （× ） × ：独立变量的值 输出功率 一：名单[ 1 2 3 ] 罗伦兹参数 示例 × = - 16:0.1:35 = 19.4 / （（- 7）^ 2 + 15.8）+ randn （大小（× ）/ 10 ） = lorentzfit （× ） 杰瑞德·威尔斯 11 / 15 / 11 杰瑞德威尔斯[ 点] [在] [ 点] 教育公爵(a = lorentzfit(y,x) LORENTZFIT fits the input Y(X) with a Lorentzian function of the form Y (X) = A1./((X- A2).^2+ A3) INPUTS Y : Dependent variable values [Y(X)] X : Independent variable values OUTPUT A : List of Lorentzian parameters [A1 A2 A3] EXAMPLE x =-16:0.1:35 y = 19.4./((x- 7).^2+ 15.8)+ randn(size(x))./10 a = lorentzfit(y,x) Jered R Wells 11/15/11 jered [dot] wells [at] duke [dot] edu)