coefficient

一本不错的matlab教程，从入门到深入，全程采用实例讲解，通俗易懂。(A good tutorial matlab, from entry to the in-depth, full use of examples to explain, easy to understand.)

北航刘金锟老师的《智能控制第二版仿真程序》完整matlab源程序(Beihang Liu Kun teachers, " intelligent control simulation," complete matlab source code)

fit_ML_rayleigh - Maximum Likelihood fit of the rayleigh distribution of i.i.d. samples!. Given the samples of a rayleigh distribution, the PDF parameter is found fits data to the probability of the form: p(r)=r*exp(-r^2/(2*s))/s with parameter: s format: result = fit_ML_rayleigh( x,hAx ) input: x - vector, samples with rayleigh distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields s - fitted parameter CRB - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type- ML

改程序为matlab代码，其内容为实现基于信息最大化的盲源分离算法。该算法主要应用于图像处理，语音信号处理及雷达信号处理当中。(Reform program for the matlab code, which reads the information-based blind source separation algorithm to maximize. The algorithm is mainly used in image processing, speech signal processing and radar signal processed.)

微波天线三维建模电磁仿真软件HFSS相关学习文献(HFSS waveguid)

基于压缩感知的超宽带信道估计方法的研究.pdf(Research on CS-based Channel Estimation Methods for UWB Communications)

合成孔径雷达距离多普勒算法，模式为条带模式，条带模式为最基本的成像模式，有利于初学者掌握(SAR-RD；stripmap；for learning)

SET PARTITON INTO HIERARCHIAL TREES:IT IS THE GENERALISATION OF THE EZW ALGORITHM IN A MANNER THAT TENDS TO KEEP INSIGNIFICANT COEFFICIENTS TOGETHER IN LARGER SUBSETS

说明：  两种不同的假设： H1 ： 0 xn A fn wn ( ) cos(2 ) ( ) = ++ π θ n=1,2,…,N，f0 为规一化频率 H0 ： xn wn () () = n=1,2,…,N 其中 w[n]是均值为 0，方差为 2 σ n 的高斯白噪声，A 已知，样本间相互 独立，信号与噪声相互独立; 相位θ 是随机变量，它服从均匀分布 1 0 2 ( ) 20 p θ π θ π ?? ≤ ≤ = ??? 其它 1）改变输入信噪比（改变 A 或噪声方差均可），给定虚警概率，画出 输入信噪比与检测概率之间的理论曲线。(注意：理论检测曲线与样本 数有关) 2）改变样本数，用 Monte-Carlo 实验方法得出 PF＝0.001 时输入信噪比 与检测概率之间关系曲线（至少三条），并得出结论。 3）改变 M-C 实验次数，样本数不变，用 Monte-Carlo 实验方法得出 PF ＝0.001 时输入信噪比与检测概率之间关系曲线（至少三条），并得出 结论(Draw the theoretical curve between input SNR and detection probability)

进行时频分析需要的东东，现在把它分享出来，希望大家喜欢(Need for time-frequency analysis of the East, and now to share it out, hope you like)