lab8

This demo develops the steady-state characteristics of an induction motor First start the simulation, then Double click the <PLOTS> block to view torque-speed and current-speed curves and the current circle diagram(This demo develops the steady-state chara cteristics of an induction motor First start th e simulation, then click the Double)

KNN是一种有效的模式识别分类算法，本文件在Matlab平台实现KNN算法在模式识别中的运用。(KNN is an effective pattern recognition classification algorithms, this document is in the Matlab platform implementation KNN algorithm in the application of pattern recognition.)

适于matlab初学者学习和参考，内容简练而易懂，为日后深入学习matlab打下基础(Matlab suitable for beginners to learn and reference, concise and easy-to-understand content for future in depth study lay the foundation for matlab)

Matlab常用命令文档,三部分,包括各种例子,充分让你了解各个命令的使用方法.(Matlab commands commonly used documents, in three parts, including a variety of examples, and fully understand the command you use.)

这是一个利用MATLAB中wdencmp函数对图像进行压缩的问题，程序简单易用。(This is a problem of image compression utilize the MATLAB, wdencmp function, easy-to-use program.)

Demo1: Demonstration of the use of Gaussian Mixture Regression (GMR) and inverse kinematics to reproduce a task by considering constraints both in joint space and in task space. An arm of 2 links moving in 2D space is considered. Several demonstrations of a skill are provided, by starting from different initial positions. The skill consists of moving each joint sequentially and then writing the alphabet letter N at a specific position in the 2D space.

Matlab和LabbVIEW混合编程的实现 (Matlab and LabVIEW proggramming to achieve mixed )

利用形态学将提取的特征，利用膨胀腐蚀等方法完善。(Using the morphology of the extracted feature, expanding the use of costumes and other methods to improve.)

利用matlab，对线卷积、圆卷积、overlap_add、overlap_save四种方式的时间效率进行对比，输出所用时间。 简单浅显易懂，适合初学者(Use matlab, on line convolution, convolution round, overlap_add, overlap_save time-efficient four-way comparison, the output of the time spent. Simple and easy to understand for beginners)

FFT频谱分析，包括矩形波，三角波，及其功率谱(FFT spectrum analysis)