DVHOP(1)

matlab仿真MATLAB电机仿真精华50例--源代码异步电机\asymotor_stator.mdl

用FFT分析离散时间周期信号的频谱实例，利用FFT分析离散时间周期信号的频谱，通过实验理解分辨率的概念和栅栏效应。(With a the FFT analysis the the frequency spectrum instance of of the discrete-time periodic signal, the use of the FFT analysis the the frequency spectrum of the discrete-time periodic signal, through the experiment understanding of the the the concepts and the picket fence effect of of the resolution.)

matlab的电力电子建模,电力电子变换器simulink 建模(power and electronic modeling using matlab)

Binary tree example in C++

清华大学出版社出版MATLAB7.0教程 孙祥，徐流美，吴清主编(Tsinghua University Publishing House MATLAB7.0 tutorial Sun Xiang, Xu stream America, Wu Qing editor)

高压直流输电仿真模型，基于晶闸管控制的12脉波MATLAB/SIMULINK仿真(The example in this section illustrates modeling of a high-voltage direct current (HVDC) transmission link using 12-pulse thyristor converters [1]. Perturbations are applied to examine the system performance. The objectives of this example are to demonstrate the use of SimPowerSystems blocks in combination with Simulink blocks in the simulation of a complete pole of a 12-pulse HVDC transmission system. The Discrete HVDC Controller block is a generic control available in the Discrete Control Blocks library of the SimPowerSystems Extras library. In the same library you can find the Discrete Gamma Measurement block used in the inverter control subsystem.)

说明：  精通MATLAB最优化计算的程序，对优化算法，机器学习等方面有较好的帮助(Proficient in MATLAB optimization program)

模拟nakagami-m信道，m值可改。(Simulation of Nakagami-m channel, m value can be changed.)

Add channel to cooperative diversty

提出了一种新的基于图像分块重构和线性判别分析相融合的方法，主要用于人脸识别。该方法通过计算两幅图像之间图 像块的重构均值误差，运用线性判别分析求出两幅图像降维后的欧式距离，融合重构误差和欧式距离计算这两幅图像之间的差别 程度。(A new block-based image reconstruction and the integration of linear discriminant analysis method is mainly used for face recognition. This method between the two images by calculating the reconstructed image block average error, calculated using the linear discriminant analysis after dimension reduction of two images Euclidean distance, the integration calculation of reconstruction error and the Euclidean distance difference between these two images level.)