model_svpwm

现代通信系统，第五章，课后作业题目的MATLAB源代码程序(Modern communication systems, chapter, after-school job)

说明：  数据处理后，利用matlab进行逻辑回归运算，建立回归模型(After data processing, use matlab to carry on the logic regression operation, and establish the regression model)

提高MAtlab编程技巧 书中主要以实例形式进行介绍，简便易学，是一本不可多得的好书(Improve you matlab skill: Many of the examples in the fi rst half of the book are not idiomatic MAT- LAB. I address this problem in the second half by translating the examples into a more standard style.)

说明：  数值分析实验，里面是word格式的，便于复制(Numerical experiment, which is the word format for easy copying)

The Wavelet Neural Network This is simple example for using of modified Morlet neural network. Levenberg-Marquardt with numerical Jacobian calculation implemented. Easy to use with other optimization algorithem e.g GA,PSO, etc. The function "xox_lm" may be useful for other optimization problem easily. The function "xox_jacobian" may be useful for Jacobian calculation easily. The function "NN_fcn" may be used by the evolutionary based neural network. The activation function "modified Morlet" will be replaceable by others.

极点配置（Pole Placement）设计是控制系统设计中的一种常用设计方法，它能适应逆不稳系统和开环不稳定系统的情况，并且有设计方法直观、动态性能好、系统稳定的特点。((Pole Placement) pole placement design is a common design approach in the design of the control system can adapt to the inverse unstable system and open-loop unstable system, and intuitive design methods, dynamic performance, system stability characteristics.)

本文围绕压缩感知的三个基本问题, 从结构化测量方法、结构化稀疏表示和结构化信号重构三个方面对结构化压缩感知的基本模型和关键技术进行详细的阐述.(In this paper, the basic models and key techniques of structured compressive sensing are introduced in terms of the structured measurements, the structured dictionary representation and the structured signal reconstruction, which correspond to three basic aspects of compressive sensing.)

Matlab环境下使用霍夫变换在二值图像上检测圆形的代码(Function uses Standard Hough Transform to detect circles in a binary image.)

语音特征参数分析，包括语音信号的预处理，FFT变换及逆变换(Speech characteristic parameters analysis, including the speech signal pre-processing, FFT transform and inverse transform)

dq controller its based on controling dq of input stage