jietiao

matlab用于参数估计的代码 可以处理数据分析 方便拟合(matlab code for parameter estimation can handle data analysis)

用reweighted L1优化进行压缩感知的信号重建算法(Optimized by reweighted L1 signal is compressed sensing reconstruction algorithm)

matlab宝典帮助您更好的更快的学习好matlab软件(matlab Collection)

超分辨率的基础书籍，要学习超分辨率的同学可以看看，很好的(Super-resolution based books, the students should learn to look super-resolution, very good)

用ＭＡＴＬＡＢ　进行人脸方向识别，适合做学习模式识别以及机器学习的同学学习(Using MATLAB face direction recognition, suitable for studying pattern recognition and machine learning of students learning)

This Matlab Code models a Rayleigh fading channel using a modified Jakes channel model. A modified Jakes model chooses slightly different spacings for the scatterers and scales their waveforms using Walsh–Hadamard sequences to ensure zero cross-correlation. alpha_n = frac{pi(n-0.5)}{2M} and eta_n = frac{pi n}{M}, results in the following model, usually termed the Dent model or the modified Jakes model: R(t,k) = sqrt{frac{2}{M}} sum_{n=1}^{M} A_k(n)left( cos{eta_n} + jsin{eta_n} ight)cos{left(2pi f_d t cos{alpha_n} + heta_{n} ight)}. The weighting functions A_k(n) are the kth Walsh–Hadamard sequence in n. Since these have zero cross-correlation by design, this model results in uncorrelated waveforms. The phases ,! heta_{n} are initialized randomly and have no effect on the correlation properties. Matlab fast Walsh-Hadamard transform function is used to efficiently generate samples using this model.

pca orl 人脸数据库 识别人脸 带精确度

说明：  MATLAB时域有限差分法程序。有利于理解fdtd原理，可直接运行的。(MATLAB time-domain finite difference method program. MATLAB time-domain finite difference method program is conducive to understanding the principle of fdtd and can be run directly.)

是对改进VRP问题，使用的是遗传算法，这是针对论文写的代码，所以很详细，并且对函数和变量都进行注释说明，当然画图是必不可少的(VRP is a problem, use of improved genetic algorithm, which is to write the code for the paper, so very detailed, and have carried on the functions and variables explanatory notes, of course, is essential to drawing)

说明：  多目标优化模型matlab详细代码，文件里面有代码说明。以及代码注释(Detailed code for multi-objective optimization, with code description in the file. And code comments)