VMD

运用matlab实现ask,结合《matlab在通信仿真中的应用》编写的实现ask程序(运用matlab实现ask结合《matlab在通信仿真中的应用》编写的实现ask程序)

MATALBA 常用算法集合 高清版 龚(MATALBA common set of high-definition version of the algorithm)

基于压缩感知的图像分割，小波变换与OMP算法，最后由最大类间方差法作为分割手段(Compressed sensing image segmentation based on wavelet transform and OMP algorithm, and finally by the Otsu method as a means of dividing)

MUSIC算法[1] 是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(algorithm MUSIC is a method based on matrix feature space decomposition. From a geometric point of view, the signal processing of the observation space can be decomposed into signal subspace and noise subspace, it is clear that these two spaces are orthogonal. Signal subspace by the array received data covariance matrix and signal corresponding to the feature vector and noise subspace is by the covariance matrix of all minimum feature values (noise variance) corresponding to the feature vectors are composed. MUSIC algorithm is to use the orthogonal characteristics of these two complementary space to estimate the azimuth of spatial signals. All vectors of the noise subspace are used to construct spectral, and the peak position in all spatial azimuth spectra correspond to the direction of arrival of the signal. MUSIC algorithm greatly improves the direction finding resolution, and at the same time it is suitable for the antenna array of any shape, but the prototype MUSIC algorithm requir)

异步电机的矢量控制，详细的介绍了异步电机矢量控制系统建立的过程，以及仿真结果(Induction motor vector control, a detailed description of the induction motor vector control system established process and simulation results)

说明：  带挡板的二维平行板传输线FDTD仿真，使用高斯激励(FDTD Simulation of Gaussian Excited 2D Parallel Plate Transmission Line)

说明：  PID控制器的优化问题就是确定一组合适的参数Ki,,Kd,Ka，使得指标达到最优。常用的误差性能指标包括ISE、IAE、ITAE、ISTE等。(The optimization problem of PID controller is to determine a set of suitable parameters Ki, KD, Ka, so as to achieve the optimal index. The commonly used error performance indexes include ise, IAE, ITAE, ISTE, etc.)

Speech Coding and Phoneme Classification Using MATLAB and NeuralWorks

说明：  基于matlab人脸识别系统的开发与研究，关于人脸识别的研究(failed to translate)

Brushless DC Motor Fed by Six-Step Inverter This demonstration illustrates the use of a Six-Step Switch-on mode for a trapezoidal PMSM motor rated 1kW, 3000 rpm and speed regulated.