ECGSimulation

Matlab中关于实现傅里叶变换的书籍（英文版的）(Matlab Fourier transform on the realization of the books (in English))

FFT的MATLAB仿真实验，了解关于MATLAB的一般过程，及波普分析方法(FFT MATLAB simulation experiments to understand the general process of MATLAB, and pop analytical methods)

设计巴特沃斯和切比雪夫滤波器，实现低通滤波，并计算滤波系数，给出效果图(Design a 20-order Butterworth filter, low-pass filter, and the filter coefficient calculation gives renderings)

高斯混合模型的EM搭建过程以及详细说明，利于初学者的学习！(EM Gaussian mixture model building process as well as detailed instructions, which will help beginners to learn!)

说明：  基于MATLAB的mpeg的播放器， 解码器的实现， 完全源代码攻略。 值得一学(MATLAB-based mpeg players, the decoder implementation, full source code Raiders. Worth a study)

B样条的方阵生成图形，利用MATLAB生成B样条的源码(B spline matrix generated graphics, the use of MATLAB source code generated B-spline)

Matlab code for nonlinear complex function root finding

说明：  锅炉汽包水位控制系统是火力发电厂中的一个重要的热工控制系统，汽包水位的 控制大多采用传统PID控制方式。但是，传统PID控制器参数的整定是在获取对象数学 模型的基础上，根据某一整定规则来确定的，不能进行在线调整，难以适应锅炉汽包 水位这样一个复杂多变的控制系统，其控制效果往往难以满足要求。 本文应用模糊控制技术，设计了一种二输入三输出模糊自整定PID控制器，对锅 炉汽包水位进行控制，实现了PID参数的自适应调节。利用MATLAB对控制系统进行 仿真。结果表明，该控制器自整定能力及鲁棒性比传统PID控制器更强，响应速度快、 精度高，同时对虚假水位有较好的控制效果。(Boiler water level control system is an important thermal power plant in the thermal control system, boiler water level Control most of the traditional PID control method. However, the traditional PID controller tuning parameters for objects in mathematics Model based on the rules to determine a whole and can not be adjusted online, it is difficult to adapt to the boiler drum Water level control such a complex system, its control effect is often difficult to meet the requirements. In this paper, fuzzy control technology, designed a two input and three output fuzzy self-tuning PID controller, the pot Steam drum level control, the PID parameters to achieve the adaptive regulation. The control system using MATLAB Simulation. The results show that the controller auto-tuning capability and robustness more than the traditional PID controller, fast response, High precision, while the water level has better control of false results.)

求相对误差，在知道标准值以及实验室的情况下，采用matlab编程求出相对误差并分析结果。(Demand relative error)

用多尺度卡尔曼滤波法，对信号参数进行识别估计。高频信号和低频信号识别结合起来改进了算法识别的精确度和准确度。(It is an implementation of hierarchical (a.k.a. multi-scale) Kalman filter using belief propagation. The model parameters are estimated by expectation maximization (EM) algorithm. In this implementation, we considered two time series with different frequencies. The messages between high and low frequency signals are combined to improve the estimation and prediction.)