KNN_MIT_hwps

信号从发送者传送到接收者往往受到几种形式的变形而消弱，维纳滤波是一种从接收的原始信号中恢复信号的方法。(signal transmitted from the sender to the receiver is often some form of the deformation and weaken. Wiener filter is a reception from the restoration of the original signal signal method.)

本人经过实际验证的比其他计算lyapunov指数更准确。。代码不足200行。。非常清晰明确(I read the actual verification than other lyapunov index calculation is more accurate. . Code less than 200 lines. . Very clear)

这个程序包里面包含读取遥感影像的IDL代码，可以读取多个波段，并且显示图像！(This package which contains the IDL remote sensing image to read the code, which can be read by a number of bands, and display images!)

一个二项式回归剂量反应的例子，是广义线性的模型(Example of a binomial regression dose-response is a generalized linear model)

用阵列光电传感器实现空间窄带陷波功能时，采用右图所示的空间权重结构：共有N=2M+1个敏感元件，各敏感元件宽为w，间距为p，中心处敏感元件的权重为+2M，其他2M个敏感元件的权重皆为-1。求此权重函数的傅立叶变换及空间功率谱，并绘图说明当N=7，p=1mm，w=1/３mm时的空间功率谱的零点特征及其应用意义。(With a photoelectric sensor array to achieve narrow-band notch function space, with the weight shown on the right of the space structure: a total of N = 2M+1 a sensitive element, the sensor width w, spacing p, the center of the sensitive components of weight+2 M, 2M a sensitive element of the other weights are all-1. This function find the Fourier transform of the weight and space power spectrum, and the drawing shows that when N = 7, p = 1mm, w = 1/3mm space power spectrum at zero characteristics and application significance.)

用于数字信号处理教学中的基于simulink的实例(The examples provided in this file can be used to teach signal processing courses.)

matlab初级应用介绍,帮助大家学习MATLAB的基本应用和知识，希望大家喜欢，呵呵(the simple use of matlab)

改进的等维新息灰色模型，还有残差数列检验，后验差检验，模型精确好用。(Improved Innovation Gray Model，There are residual series test, posterior difference test, model accuracy easy to use. )

GO-CFAR检测是信号处理中非常常用的检测方法。该程序比较了理论值和实际值的仿真结果。实际中雷达信号往往是起伏的，该程序从SweringI型为例。(GO-CFAR detection is very commonly used detection methods in signal processing. The program compares the simulation results of the theoretical and actual values. The actual radar signals often are ups and downs of the program from SweringI type, for example.)

Machine learning class BT 1