High-pass-Image-Filters

使用ＭＡＴＬＡＢ工具，对信号进行采集调制，再进行信号解码．对信号进行算法控制．(The use of MATLAB tools, modulation of signal acquisition, and then decode the signal. The signal control algorithm.)

说明：  matlab编程例子，包括数值分析、绘图以及其他的一些高级应用。(matlab programming examples, including numerical analysis, mapping and other advanced applications.)

一种基于边缘特征的二值化算法，效果较好，里面还有ppt，讲解算法的主要思想 还有matlab源码。(based on the characteristics of two marginal value of the algorithm, the result is better and there is also ppt. Algorithm on the main ideas are still Matlab source.)

说明：  自己写的利用形态滤波方法去ECG基线漂移，附MIT-BIH心电数据库（受上传文件大小所限，只包含第124号数据供程序验证）(Written by myself, ECG baseline drift is removed by morphological filtering method, with MIT-BIH ECG database (limited by the size of uploaded files, only data No. 124 is included for program verification))

用Matlab仿真实现最小二乘法和总体最小二乘法估计 假设仿真的观测数据 产生，其中 为0均值， 单位方差的高斯白噪声，取n=1,2,....128。 试用TLS，取AR阶数为4，估计AR参数 和正弦波频率；再用SVD-TLS ，估计AR参数 和正弦波频率。 (1)、在仿真中，AR阶数取为4和6。 (2)、执行SVD-TCS时，AR未知。仿真运行至少二十次。 (Simulation using Matlab and the overall least squares least squares estimate assumptions simulated observation data are generated, where 0 mean, unit variance Gaussian white noise, take n = 1,2 ,.... 128. Try TLS, take AR order of 4, estimated AR parameters and the sine wave frequency then SVD-TLS, estimated AR parameters and the sine wave frequency. (1), in the simulation, AR order is taken as 4 and 6. (2), when the implementation of SVD-TCS, AR is unknown. Simulation run at least twenty times.)

说明：  关于非线性时间序列中同时计算关联维和Kolmogorov熵的程序,(on nonlinear time series simultaneously calculate the correlation dimension and Kolmogorov entropy procedures,)

说明：  Visual C 与Matlab的混合编程，适合VC与matlab混合编程的初学者(Visual C mixed with the Matlab programming, suitable for mixed-VC with matlab programming for beginners)

很好的关于风机的资料,希望对大家有所帮组。(the material of Wind turbines )

说明：  We describe a new method for performing a nonlinear form of Principal Component Anal

二型模糊系统经典降型算法Karnik-Mendel算法(Classic type reduction algorithm of type-2 fuzzy logic systems. Karnik-Mendel algorithm (KMA))