Chapter_3

说明：  We are researching robot localization techniques which fuse dead reckoning measurements with range measurements from stationary radio beacons in the robot s environment. This site provides Matlab code for three algorithms explored thus far -- an Extended Kalman Filter, a Particle Filter, and a Sliding Batch method -- as well as .mat files containing data collected from a robot driving and receiving range measurements over different paths. Two such data sets are provided.

AP-FFT频谱校正方法,需要自己改进一部分。(AP-FFT spectrum correction method, need to improve their own part.)

说明：  MATLAB编写的经典粒子群程序，实现最基本的函数优化功能。(MATLAB program written in the classical PSO, to achieve the most basic function optimization.)

贝叶斯分类器，基于最小错误率的贝叶斯分类器(Bayes)

about spech processing

Matlab 数字信号发生器 课程要求，不全但可用。(Matlab digital signal generator)

这是matlab最基本的教程，很详细的，希望可以给大家带来帮助(This is a basic tutorial matlab, very detailed, and I hope we can bring help)

卡尔曼滤波方面的matlab代码集，好不容易收集来的，供大家使用(matlab code for kalman filter)

说明：  声纹识别。即说话人识别的GMM-UBM 模型文档(Voiceprint recognition. GMM-UBM model document for speaker recognition)

自适应滤波算法，变步长nlms算法、wena滤波算法(Adaptive filtering algorithm, variable step-size nlms algorithm, wena filtering algorithm)