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基于MATLAB用于提取语音信号的特征参数如倒谱，语谱等，可以方便的检测出语音信号的基频，共振峰。(Cepstrum based on MATLAB is used to extract the characteristics of the speech signal parameters such as language spectrum, can easily detect the speech signal fundamental frequency, formant.)

Hespanha混杂系统模拟仿真教程的Matlab算例1(Matlab example 1 Simulation of hybrid systems (Hespanha))

PMSM table for driver for PMSM motor

把区域划分成矩形网格，找到每个网格的中心点，把每个网格当做一个圆环计算每个圆环的磁场，然后调用linprog函数就求出场分布了。不要求你把线圈矩形化，也不要求屏蔽场。(The region is divided into rectangular grids and the center points of each grid are found. Each grid is used as a circle to calculate the magnetic field of each ring, and then the field distribution is called by the linprog function. It does not require you to rectangle the coil, nor does it require shielding.)

说明：  此程序实现自适应波束图中的不同的阵列间距和期望信号方向对波束图的影响(Realize this procedure adaptive beamforming map different array spacing and the desired signal direction of the impact of beamforming map)

mulStablePoint 用不动点迭代法求非线性方程组的一个根 mulNewton 用牛顿法法求非线性方程组的一个根 mulDiscNewton 用离散牛顿法法求非线性方程组的一个根 mulMix 用牛顿-雅可比迭代法求非线性方程组的一个根 mulNewtonSOR 用牛顿-SOR迭代法求非线性方程组的一个根 mulDNewton 用牛顿下山法求非线性方程组的一个根 mulGXF1 用两点割线法的第一种形式求非线性方程组的一个根 mulGXF2 用两点割线法的第二种形式求非线性方程组的一个根 mulVNewton 用拟牛顿法求非线性方程组的一组解 mulRank1 用对称秩1算法求非线性方程组的一个根 mulDFP 用D-F-P算法求非线性方程组的一组解 mulBFS 用B-F-S算法求非线性方程组的一个根 mulNumYT 用数值延拓法求非线性方程组的一组解 DiffParam1 用参数微分法中的欧拉法求非线性方程组的一组解 DiffParam2 用参数微分法中的中点积分法求非线性方程组的一组解 mulFastDown 用最速下降法求非线性方程组的一组解 mulGSND 用高斯牛顿法求非线性方程组的一组解 mulConj 用共轭梯度法求非线性方程组的一组解 mulDamp 用阻尼最小二乘法求非线性方程组的一组解(different methods to solve a nonlinear equation)

压缩包内容是实现现代数字信号处理技术中的PHD和MUSIC算法原程序和结果，有很大的参考价值(Archive content is the modern digital signal processing technology to achieve the PHD and the MUSIC algorithm and results of the original program, has great reference value)

西储大学电机轴承故障诊断，EMD分解程序，含包络谱，能量谱(Case western reserve university motor bearing fault diagnosis, the EMD decomposition procedure, including envelope spectrum, energy spectrum)

1)program for GPS week num. and time of week into year/month/day/hour/minute/second format. 2)programs for various data formats into matlab format such as Kp, Solar Flux, Bz, Dst etc.

Power electronics plays an important role in controlling the grid-connected renewable energy sources. This paper presents a novel adaptive neuro-fuzzy control approach for the renewable interfacing inverter. The main objective is to achieve smooth bidirectional power flow and nonlinear unbalanced load compensation simultaneously, where the conventional proportional-integral controller may fail due to the rapid change in the dynamics of the highly nonlinear system. The combined capability of neuro-fuzzy controller in handling the uncertainties and learning from the processes is proved to be advantageous while controlling the inverter under fluctuating operating conditions. The inverter is actively controlled to compensate the harmonics, reactive power, and the current imbalance of a three-phase four-wire (3P4W) nonlinear load with generated renewable power injection into the grid simultaneously.