gatbx

基于HMM的语音识别完整代码，包括HMM的三个基本问题的求解，很实用。(Speech recognition based on complete HMM code, the solution consists of three basic problems of HMM, very practical.)

叶片元素计算法 基于叶素-动量理论（BEM）. 采用叶素-动量理论可以计算风轮旋转面中的轴向诱导。 风力发电用(BEM method for calculate the blade drage and lift force.)

IP113M circuit application

matlab的学习教程，里面含有很全面的介绍教程是ppt格式的，很容易理解，有利于初学matlab的同学的学习(matlab learning tutorial, which contains a very comprehensive introduction tutorial ppt format, it is easy to understand, is conducive to learning for students to learn matlab)

Nakagami_m衰落信道下OSTBC_OFDM系统的性能分析(Nakagami_m OSTBC_OFDM under fading channel the performance of the system analysis)

MATLAB程序设计之行遍性经典教程MATLAB programming trip times of classic tutorials(MATLAB programming trip times of the classic tutorial MATLAB programming trip times of classic tutorials)

《kalman滤波理论及其在导航系统中的应用》,对卡尔曼滤波在导航中的应用有很好的指导作用("Kalman" filter theory and its application in navigation system, a very good role in guiding the application of Calman filter in the navigation)

matlab image process

This folder contains Matlab functions for the Enhanced Interval Approach (EIA) in: Simon Coupland, J. M. Mendel and Dongrui Wu, “Enhanced Interval Approach for Encoding Words into Interval Type-2 Fuzzy Sets and Convergence of the Word FOUs,” IEEE World Congress on Computational Intelligence, Barcelona, Spain, July 2010. All following functions were tested in Matlab 7.4.0 (R2007a) under Windows 7: centroidIT2: Compute the centroid of an IT2 FS. EKM: Implement the Enhanced KM algorithms. IA: Implement the Interval Approach for word encoding. mainJPL: Illustrate IA and EIA using the JPL dataset. mainWeb: Illustrate IA and EIA using the Web dataset. mg: Compute the membership grades of a vector of numbers on a T1 FS. plotFigures: Plot Figs. 3.18, 3.19 and 3.20 in the book. plotIT2: Plot an IT2 FS. Last modified by Dongrui Wu (dongruiw@usc.edu), May 2, 2010.

This MATLAB exercise designs and implements a pitch period detector based on detecting and tracking peaks in the autocorrelation of the LPC error signal during regions of voiced speech. The pitch detection procedure is called the SIFT (Simple Inverse Filtering Tracking) method. The SIFT pitch period detector uses a secondary autocorrelation peak in order to detect and correct pitch period detection errors due to effects such as pitch period doubling and related phenomena.