buifie_v83

本程序主要是对线性判别函数分类器进行实现。(Linear discriminant function classifier achieved.)

Bilinear Series Parameter Estimation

在这项工作中所使用的方法是基于一个由大卫阿诺德教程。 http://online.redwoods.cc.ca.us/instruct/darnold/diffeq/logistic/logistic.pdf 这将运行该Logistic.m带来了图形用户界面。 1。放弃在列的格式文本文件中的x值 2。放弃在山口格式文本文件中的y值 3。的阴谋初始 按钮将绘制的分布 4。 查找适合 按钮，会找到最适合 5。 重置 将删除的情节（虽然我想打扫所有的领域 -没有时间） 5。地下K，糖尿病在下列公式中的值 Ÿ 等于k/（1+进出口（- G *的（十型录））） 6。上证所给出了squred误差之间的拟合函数与实际数据的总和 7。消委会提供的相关合作关系的实际数据拟合功能和效率(The method used in this work is based on a tutorial by David Arnold. http://online.redwoods.cc.ca.us/instruct/darnold/diffeq/logistic/logistic.pdf RUN The Logistic.m this will bring up the GUI. 1. Give the x values on a text file in column format 2. Give the y values on a text file in col format 3. Plot Initial Button will plot the distribution 4. Find Fit button will find the best fit 5. Reset will remove the plot (Although I wanted to clean all the fields- did not have time) 5. K, G, Dm are the values in the following equation y = K./(1+exp(-G*(x-Dm))) 6. SSE gives the sum of squred error between the fitted function and the actual data 7. CC give the correlation co-efficient between the fitted function and actual data)

This program takes the speech file and number of poles as inputs and gives LPC coefficients and the gain factor as output.Also includes code to find out LSFs.Code for LMS algorithm also included.

基于S函数的Matlab仿真论文。文中主要依靠S函数建立直线电机的仿真工作。(Matlab simulation papers based on the S-function. Rely mainly on the S function to create a simulation of the linear motor.)

粒子群算法的matlab程序在有障碍的路径图中寻寻找最短路径的程序。 (Particle swarm algorithm matlab program in obstacles in the road map to find to find the shortest path to the program.)

人们熟知的双谱（bispectrum），也就是三阶谱估计。具有一定的参考价值。(known as the bispectrum (bispectrum), which is third-order spectrum estimation. With some reference value.)

文件夹里集合了几种经典的数字图像处理方面的算法，MATLAB处理(Folder in the collection of several classic digital image processing algorithms, MATLAB processing)

这是一个用基于折线的信赖域方法求解优化问题的matlab程序(This is a matlab program polyline-based trust region methods for solving optimization problems)

Wiley, Introduction To Digital Signal Processing And Filter Design (2005) Ling Lotb [use of Matlab]