MATLAB-Introduction

DTW（Dynamic Time Warping，动态时间归整）算法，该算法基于动态规划（DP）的思想，解决了发音长短不一的模板匹配问题，是语音识别中出现较早、较为经典的一种算法。用于孤立词识别，DTW算法与HMM算法在训练阶段需要提供大量的语音数据，通过反复计算才能得到模型参数，而DTW算法的训练中几乎不需要额外的计算。所以在孤立词语音识别中，DTW算法仍然得到广泛的应用。 (DTW (Dynamic Time Warping, dynamic time warping) algorithm based on dynamic programming (DP) ideas, sounds of varying lengths to solve the template matching problem, is speech recognition appeared earlier, more classic kind of algorithm. For isolated word recognition, DTW algorithm and HMM algorithm in the training phase need to provide a large number of voice data, obtained by repeated calculations to model parameters, while the DTW algorithm is almost no additional training calculations. Therefore, in isolated word speech recognition, DTW algorithm is still widely used.)

gray coding for a 16QAM modulation scheme

RBF神经网络计算程序，里面有实际计算的过程(computing program of RBF neural network)

说明：  一些关于backstepping算法的实例(some files about backstepping)

System identification with adaptive filter using full and partial-update Recursive-Least-Squares

异步电机的无速度传感器的矢量控制。matlab程序。有详细的说明文件。用于交流学习用。(Induction motor speed sensorless vector control. matlab program. Detailed documentation. Used for the exchange of learning.)

Runge-Kutta method for Rosseler attractor (chaotic map)

模糊粗糙课程中某些问题的MATLAB算法(it is MATLAB)

应用MATLAB的YAMLIP工具箱求解简单的机组组合问题(YAMLIP unit commitment problems)

该原代码包提供图像去噪，图像修复，求psnr值等功能。主要使用全变分方法等方法实现图像处理。(The source code package to provide image denoising, image restoration, and features such as PSNR values. The main use of methods such as variational methods realize image processing.)