WX_Matlab_code

基于Matlab的地质统计学程序包，包含克里金方法，变差函数，高斯序贯模拟等(Geostatistical Matlab-based package, including Kriging, variogram, sequential Gaussian simulation)

说明：  LMS 和 NLMS 算法的比较，用于system identification对在学习随机过程，信号处理，滤波器的人有帮助.(LMS compared with NLAM algorithm for system identification)

matlab下实现降噪，功率谱计算。％程序中设定采样点数为256个，采样频率为10000hz， ％输入信号为随机噪声和两个正弦的合成信号 ％设定的滤波器的截止频率为3500hz ％通过挈比雪肤滤波器，运行程序，比较滤波前后的频域波形 ％滤波去除了高频信号(matlab achieve noise reduction, power spectrum calculation. Sampling procedure set for 256 points, the sampling frequency of 10000hz, input signal for the random noise and the two sinusoidal signals synthetic filter set a cut-off frequency 3500hz manner than through the filter雪肤, run procedures, compared before and after filtering in frequency domain waveforms filtering in addition to high-frequency signals)

这是MATLAB 和 LABVIEW 混合编程方面的书籍 介绍了 MATLAB 脱离 MATLAB 环境运行。(this is a good code for that matlab to dll. welcome to download )

kground: Abnormally high CSF 3-OMD occurs frequently for RLS patients indicating either increased L-dopa synthesis, limitations in L-dopa decarboxylation or increased MAT/COMT activity, or some combination of these. Increased tyrosine hydroxylase activity was found on both the RLS autopsy and the rodent iron-deprivation model of RLS, suggesting increased DA synthesis in RLS. We, therefore, hypothesized elevated 3-OMD in RLS results from increased DA synthesis and that this should occur accordingly with increased HVA. It would then also reflect both the more severe iron insufficiency pathology of RLS and greater clinical severity, shown by the objective measure of PLMS/hr. Methods: Patients off RLS medications and matched controls had

摄像机标定MATLAB程序包 不管新手老手都值得学习哦。(matlab calibration)

这是OFDM下turbo码编程，测试编解码的源程序代码和功能(This is the next OFDM turbo code programming, testing codec source code and function)

generation of rectangular shape signal. for a rectangular shape of width 1, sinc result also included

color gradient reflecting in cie lab color space. matlab source code. simple code.

在MATLAB环境下四个实验,压缩解压以便日后使用(change picture)