JM96A

vong khoa PLL with matlab

异步电机间接矢量控制Simulink仿真模型，带有转速外环和Iq、Id两个内环，转速和负载指令阶跃变化，3/2变换为恒幅值变换，不包含弱磁控制，磁链指令为恒值。PWM调制算法采用空间矢量调制（SVPWM）。 (Indirect induction motor vector control Simulink simulation model with speed outer and Iq, Id two inner ring speed and load instructions step change, 3/2 is converted into constant amplitude transformation, is not included weakening control, flux instruction for the constant value. PWM modulation algorithm using space vector modulation (SVPWM).)

神经网络的应用书籍源码，想学习的的的同学拿去吧(The application of neural network book source code, want to learn the students take it)

学生学籍管理，可用于输入学生成绩后显示成绩，并且算出平均值，标准差等许多用途(Student Management can be used to display after input student achievement scores and calculate the average, standard deviation, many uses)

graph cut file implemented in MALAB

研究表明超高斯分布更加贴近语音信号的实际分布，然而语音信号很难用单一的概率密度 函数准确描述，针对这一情况，提出了一种用超高斯混合模型对语音信号幅度谱建模的新方法，并推导了 基于此模型的幅度谱最小均方误差估的估计式。仿真结果表明：与传统的短时谱估计算法相比，该算法不 仅能够进一步提高增强语音的信噪比，而且可以有效减小增强语音的失真度，提高增强语音的主观感知 质量。 (Recent research indicates that the speech spectral amplitude distributions could be fairly described with super-Gaussian probability density function. However, the complexity of speech signal determines that the distribution statistics ofspeech signal could not be well described by single simple function. Thus a super-Gaussian mixture model for speech spectral amplitude is proposed, and with this model, a minimum mean-square error (MMSE) estimator for speech signals spectral amplitude is derived. The simulation results show that this algorithm based on Gaussian and super-Gaussian speech model could achieve better noise suppression and lower speech distortion as compared with the conventional short-time spectral amplitude estimation algorithm. )

改进粒子群算法优化BP神经网络的权值，建立BP神经网络(Improved PSO algorithm optimizes the weights of BPneural networks to establish the neural networks.)

我在网上找了一份Lee滤波的程序，但实际使用发现是均值滤波，我自己重新写了一份，应该可以使用。(I find the Internet a Lee filter process, but the actual use is found to mean filtering, I re-wrote a, should be used.)

说明：  支持向量机源代码、实例讲解，以及其他智能优化算法对支持向量机的参数进行优化(Support vector machine source code, examples, and other intelligent optimization algorithms to optimize the parameters of support vector machines)

基于自适应的遗传算法求解，比标准遗传算法具有更加良好的解集，收敛性能更好(The solution based on adaptive genetic algorithm has better solution set and better convergence than standard genetic algorithm.)