matalb_anli

UWB，超宽带信号分析必用的子函数，第8部分！(UWB, ultra-wideband signal analysis will be used for Functions, Part 8!)

matlab 的安装实现，帮助大家成功的实现matlab的安装。(Hadoop installation implementation, to help you successfully hadoop installation. )

小波构造MATLAB源程序代码，希望对大家有帮助！(Wavelet MATLAB source code for all of us want to help!)

分支定界法能够用在处理整数规划问题中，是一种很经典的方法。希望大家有用！(Branch and bound method)

详细功能图像的分析、包含内容说明分析的介绍 举例 以及图像说明(Detailed functional analysis of the image, including the content analysis of the introduction of example and image descriptions)

用matlab编写的一些经典差分算法，很实用(Using matlab to prepare some of the classic differential method, it is useful)

Abstract—Several algorithms have been developed for tracking formant frequency trajectories of speech signals, however most of these algorithms are either not robust in real-life noise environments or are not suitable for real-time implementation. The algorithm presented in this paper obtains formant frequency estimates voiced segments of continuous speech by using a time-varying adaptive filterbank to track individual formant frequencies. The formant tracker incorporates an adaptive voicing detector and a gender detector for formant extraction continuous speech, for both male and female speakers. The algorithm has a low signal delay and provides smooth and accurate estimates for the first four formant frequencies at moderate and high signal-to-noise ratios. Thorough testing of the algorithm has shown that it is robust over a wide range of signal-to-noise ratios for various types of background noises.

em algorithm - Find approximate solution to Sf = conv(s,f) = d using EM iteration. EM seeks to minimize the Poisson negative log likelihood function J(f) = sum_i {[Sf]_i - (d_i + sigma^2)*log([Sf]_i + sigma^2)}.

说明：  光子晶体光纤的时域有限差分法软件的使用说明(Photonic crystal fiber finite difference time domain method of software instructions)

《先进PID控制及其仿真》，讲述了如何在MATLAB环境下对各种PID算法的仿真，很有价值的一本书(" Advanced PID Control and Simulation" , describes how under the MATLAB environment for the simulation of various PID algorithm, the value of a book)