mfiles

利用VC和Matlab混合编程,Release文件夹下可直接运行，绘出2D和3D图形。并且可以在VC 6.0环境下调试，注意文件夹中的readme文档说明。(Using VC and Matlab to program, Release folder can be run directly, draw 2D and 3D graphics. And it can debugging in VC 6.0 environment, pay attention to the folder readme documentation.)

matlab求解reynolds方程程序(matlab program for solving Reynolds equation)

很详细的matlab实现FDTD二维MUR 吸收的源代码(Very detailed matlab source code FDTD 2D Power)

Space Vector Modulation (SVM) Technique has become the important PWM technique for three phase Voltage Source Inverters for the control of AC Induction, Brushless DC, Switched Reluctance and Permanent Magnet Synchronous Motors.

CVSD编解码算法:实现了无线通信系统中CVSD编码和解码实现(encoding and decoding for cvsd)

说明：  BP神经算法在系统中的辨识应用 应用MATLAB进行编程(BP network algorihm of identification)

利用MATLAB设计各种滤波器，低通，高通以及带通滤波器，高斯白噪声的生成(Using MATLAB design of various filters, low pass, high pass and band-pass filter, Gaussian white noise generation)

针对风电场短期风速的预测提出一种基于小波变换的组合预测方法。首先利用Mallat 算法对短期风速时间序列进行db3 小波三层分解与重构，得到短期风速时间序列的近似分量和细节分量。针对近似分量和细节分量的不同特性，对近似分量利用粒子群算法优化的最小二乘支持向量机进行预测，对细节分量利用自回归求和滑动平均模型进行预测。最后各预测模型预测值组合叠加得到最终的短期风速预测值。仿真结果表明该方法具有较高的预测准确度。(In order to improve short-term wind speed prediction accuracy of wind farms，a combined prediction method based on the wavelet transform is proposed. Firstly，the db3 wavelet is used for three-layer decomposition and reconstruction for short-term wind speed time series through Mallat algorithm. The approximation components and the detail components of the short-term wind speed are then obtained. Next，according to the different characteristics of these components，the least square support vector machine optimized by particle swarm algorithm and the autoregressive integrated moving average model are adopted as the predictivemodels for the approximate components and the detail components respectively. Then，the final predictive value of the short-term wind speed is obtained by the combination of the two components. The simulation results indicate that higher accuracy can be obtained in this prediction method.)

本例源代码文件由用户按照书中的操作步骤自己生成，“Example-2-1Project_Navigator_Demo源代码”目录下为源代码的参考文件。“Example-2-1Project_Navigator_Democounter”目录下为完整的工程，包括源代码文件、综合与实现的结果文件、ISE工程文件等，可以使用ISE工程管理器打开工程，供读者参考(In this case the source code files by the user in accordance with the steps the book itself is generated, "Example-2-1 Project_Navigator_Demo source" directory as the source code reference document. "Example-2-1 Project_Navigator_Demo counter" directory for a complete project, including source code files, integrated with the realization of the outcome document, ISE project file, etc. You can use ISE Project Manager, open the project for the reader is referred to)

i have uploaded some denoising and compression files