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ECG Diagnose in development Stage

一种遗传优化神经网络的算法，里面包含有初始化函数,在运行程序前先将实验数据load进去。输入A =load( D:数据.txt ) 这里的D是你存储数据的位置(A genetic optimization of neural network algorithm, which contains the initialization function, before running the program to the experimental data in load. Enter the A =load (D: data.Txt) where D is your data storage location)

LMS算法在系统辨识中的应用，用LMS算法跟踪未知系统的权矢量，最终使得更新的权矢量与未知系统权矢量相吻合(LMS algorithm applied in the system identification)

合成孔径雷达成像程序，使用CS算法，对点目标进行仿真，实现点目标的成像(Synthetic aperture radar imaging procedures, the use of CS algorithm, the point target simulation to achieve point target imaging)

LDPC编码，完整的编解码过程 matlab代码(LDPC codes, encoding and decoding process of the complete matlab code)

说明：  在matlab环境下仿真随机信号，括号内为内容（正弦信号、白噪声信号、正弦信号附加白噪声三种信号形式） 的代码，计算该随机信号的相关函数和功率谱(In the matlab simulation environment, random signals, the contents of brackets (sinusoidal signal, white noise signal, sine wave signal form of three additional white noise) code, the calculation of the random signal correlation function and power spectrum)

matlab仿真的平抛运动，无空气阻力，非弹性碰撞（速度衰减40％）(Matlab simulation-parabolic movement, no air resistance, non-elastic collisions (40% rate of attenuation))

fuzzy PD control of dynamic system

a cart and pole. The inverted pendulum is a classic problem in dynamics and control theory and is widely used as a benchmark for testing control algorithms. In this report

模型预测电流控制其控制思想基于以下原理：首先，功率变换器产生的开关状态个数有限，且通过建立模型可以预测每一个开关状态下被控变量的对应变化特性；其次，定义价值函数评价被控变量的预测值，为判别最优有限开关状态提供依据；最后，计算出每一种开关状态下的价值函数值，以此评价每一种开关状态下被控变量预测值的优劣，选择出最优的开关状态并应用。(The control idea of model predictive current control is based on the following principles: firstly, the number of switching states produced by power converter is limited, and the strain characteristics of controlled variables under each switching state can be predicted by establishing a model; secondly, the value function is defined to evaluate the predicted values of controlled variables, which provides a basis for judging the optimal finite switching state; lastly, the optimal finite switching state is calculated. The value function value under switching state is used to evaluate the predicted value of controlled variables under each switching state, and the optimal switching state is selected and applied.)