imageprocessing2

这是回声状态神经网络的源代码，很难找的哦！！！！！！！！！！！！(This is the echo state neural network source code)

高斯函數方程式案例，主要是以matlab軟件來運算標準題型。(Gaussian equation case, mainly matlab software to compute the standard questions.)

基于MATLAB/simulink的永磁同步电机仿真模型.空间失量磁场定向算法(MATLAB-based simulation model of permanent magnet synchronous motor)

DESIGN autonomous voltage inverter in the package SIMULINK

解耦控制的仿真,很全面的资料！！！！！！！！！！！！！！！！ (The decoupling control the simulation)

支持向量机,可以在MATLAB环境下运行.(Support Vector Machines can be run under MATLAB environment.)

铅酸蓄电池的三阶动力模型。可以完成充电和放点过程。跑起来有问题的请检查你的解法是不是采用默认的ode45或者步长太大。(The three order dynamic model of lead acid battery. Can complete charge and discharge point process. Running problems please check your solution is not using the default ode45 or step size too large.)

论文分析了合成孔径雷达图像迭代滤波处理的效果及其问题，结合统计滤波方法和小波分析方法，提出了一种基于细节补偿的MAP迭代滤波算法。实验结果表明，新的迭代滤波算法较好地解决了去噪和细节保留之间的矛盾，而且算法稳定，收敛很快。(This paper analyzes the iterative synthetic aperture radar image filtering effect and its problems, combined with statistical filtering methods and wavelet analysis method, details of compensation, a MAP based iterative filtering algorithm. Experimental results show that the new iterative filtering algorithm can solve the denoising and detail preservation conflicts between, and the algorithm is stable and fast convergence.)

说明：  基于双耦合Duffing振子的随机相位正弦信号检测 采用双耦合混沌振子阵列实现了随机相位微弱正弦信号的检测，在此基础上，提出了新的检测方法，即利用单个耦合混沌振子，通过临界及周期状态 的变化检测随机相位微弱正弦信号并大致估计信号相位范围，该方法比双耦合混沌振子阵列法简单，更易于实现。(Based on double coupled Duffing oscillators random phase sine signals detected by two coupled chaotic oscillator arrays to achieve a random phase weak sinusoidal signal detection, in this basis, the proposed new detection methods, namely the use of a single coupled chaotic oscillators, through the critical and the cycle random phase state change detection and generally weak sinusoid signal phase estimated the scope of the method than the two-coupled chaotic oscillators array method is simple and more easy to implement.)

Power Quality Improvement and Mitigation Case Study Using Distributed Power Flow Controller