DCF_Data-ack

给出一种用MATLAB实现信号频谱分析和显示的快速傅里叶算法的方法(FFT)

MODBUS programEach instance of modbusgw acts a master to a modbus serial network. Currently each instance of modbusgw will only support one modbus serial network (future revisions will support multiple networks in a single gateway for now, it is necessary to start multiple instances). (MODBUS programEach instance of modbusgw acts a master to a modbus serial network. Currently eachinstance of modbusgw will only support one modbus serial network (future revisions will supportmultiple networks in a single gateway for now, it is necessary to start multiple instances).)

Gabor变换属于加窗傅立叶变换，Gabor函数可以在频域不同尺度、不同方向上提取相关的特征。另外Gabor函数与人眼的生物作用相仿，所以经常用作纹理识别上，并取得了较好的效果。(Gabor transform is windowed Fourier transform, Gabor functions in the frequency domain at different scales and different directions to extract relevant features. Gabor function and other biological effects similar to the human eye, so often used as a texture on the identification, and have achieved good results.)

有限元SpaceFrameElement的matlab程序(FEA matlab SpaceFrameElement)

通过计算机MATLAB仿真分析和研究了维纳滤波器的阶数、信号的噪声方差、随机信号的采样点数、经过维纳滤波的均方误差之间的关系(MATLAB simulation by computer analysis and research of Wiener filter order, the signal of the noise variance, random signal sampling points, after Wiener filter mean square error of the relationship between)

文件包含了一个关于matlab人脸识别的案例分析，有助于很好的学习模式识别。(File contains a case analysis about matlab face recognition, helps to great learning pattern recognition.)

基于Matlab_Simulink的四轮转向汽车操纵稳定性仿真 实用性很强 可以借鉴(it is useful)

说明：  实现多尺度熵的算法 多尺度熵（Multiscale entropy, MSE）将样本熵扩展到多个时间尺度，以便在时间尺度不确定时提供额外的观察视角。样本熵的问题在于它没有很好地考虑到时间序列中可能存在的不同时间尺度。为了计算不同时间尺度下信号的复杂性，Costa等人（2002,2005）提出了多尺度熵。(MultiScale Entropy There has been considerable interest in quantifying the complexity of physiologic time series, such as heart rate. However, traditional algorithms indicate higher complexity for certain pathologic processes associated with random outputs than for healthy dynamics exhibiting long-range correlations. This paradox may be due to the fact that conventional algorithms fail to account for the multiple time scales inherent in healthy physiologic dynamics. We introduce a method to calculate multiscale entropy (MSE) for complex time series. We find that MSE robustly separates healthy and pathologic groups and consistently yields higher values for simulated long-range correlated noise compared to uncorrelated noise.)

Simple Linear Congruential Random Sequence Generator

MATLAB编程的数值计算MATLAB programming for numerical computing(MATLAB programming numerical MATLAB programming for numerical computing)