rayleigh-

histogram and histogram equalization

FDTD解Maxwell旋度方程，三维直角坐标空间格子内包含均匀三次单元格(finite-difference time-domain solution of Maxwell s curl equations over a three-dimensional Cartesian space lattice comprised of uniform cubic grid cells. )

考虑一个线性自适应均衡器的原理方框图如《现代数字信号处理导论》p.275自适应均衡器应用示意图。用LMS算法实现这个自适应均衡器，画出一次实验的误差平方的收敛曲线，给出最后设计滤波器系数。一次实验的训练序列长度为500。进行20次独立实验，画出误差平方的收敛曲线。给出3个步长值的比较。(consider a linear adaptive equalizer block diagram as the principle of "modern digital signal processing" Introduction to the p.275 adaptive equalizer application schema. LMS algorithm with the adaptive equalizer, painted a square experimental error of convergence curve, given final design filter coefficients. Experimental a length of the training sequence to 500. Conduct 20 separate experiments, painted square error of the convergence curve. Given three step-value comparisons.)

断层插值函数代码，采用matlab软件环境编制(Fault code matlab interpolation function, the soft environment system )

Emd分解，通过峭度和相关系数选择IMF，进行信号重构，小波分解，小波包分解。(Emd decomposition, selecting IMF by kurtosis and correlation coefficient, signal reconstruction, wavelet decomposition, wavelet packet decomposition.)

能够把输入信号分解为多个IMF分量，并进行Hilbert变换，求得信号的时频分布谱图。(Be able to input signal is decomposed into several IMF components and carry out Hilbert transform, time-frequency distribution obtained spectrum.)

训练集/测试集产生 load spectra_data.mat 随机产生训练集和测试集 temp = randperm(size(NIR,1)) 训练集——50个样本 P_train = NIR(temp(1:50),:) T_train = octane(temp(1:50),:) 测试集——10个样本 P_test = NIR(temp(51:end),:) T_test = octane(temp(51:end),:) N = size(P_test,2) 数据归一化 ( Training set/test set generation load spectra_data.mat randomly generated training set and test set temp = randperm (size (NIR, 1)) training set- 50 samples P_train = NIR (temp (1:50) ,:)' T_train = octane (temp (1:50 ),:)' test set- 10 samples P_test = NIR (temp (51: end ),:)' T_test = octane (temp (51 : end ),:)' N = size (P_test, 2) Data Normalization)

分析低通白噪声和带通白噪声的功率谱密度函数和自相关函数的性质，并举例同时绘制其图像。(Analysis of white noise low-pass and band-pass white noise power spectral density function and the nature of the autocorrelation function and example to draw its image at the same time.)

magnetic levitation state feedback controle

lsb信息隐藏原理，以及matlab实现(the LSB principle of information hiding, and matlab achieve)