-
119128664bayes_classifier
贝叶斯分类器源代码.能很好的实现分类.是很好的学习资料.期望与大家一起分享.(Bayesian classifier source code. Can achieve very good classification. Is a very good learning materials. Look forward to working with you to share)
- 2009-05-29 16:30:09下载
- 积分:1
-
AnalogModulation
说明: 仿真模拟信号,并提取瞬时信息的算法,通过实践可以哦(Simulation signals, and extract the instantaneous information algorithm, through practice you can Oh)
- 2011-02-25 20:53:37下载
- 积分:1
-
Applications-of-signal-processing
This is about Applications of signal modelling using autoregressive models of amplitude modulation
- 2011-12-21 14:31:08下载
- 积分:1
-
daopu
浊音倒谱图的matlab实现,包括语音信号的分帧、加窗,取一帧进行分析。(Dullness inverted spectrum realize the matlab,ncluding sub-frame of the speech signal, windowing, take a frame for analysis)
- 2015-03-31 10:28:24下载
- 积分:1
-
bemlabecom
Boundary element method
function [index,g,h,a,unb,x,u,un,uin]=bemlabecom(n,c,index,in,cin)
[index,g,h,a,unb,x,u,un,uin]=bemlabecom(16,[0 0 0.25 0 0.5 0 0.75 0 1 0 1 0.25 1 0.5 1 0.75 1 1 0.75 1 0.5 1 0.25 1 0 1 0 0.75 0 0.5 0 0.25 0 0],[1 0 1 0 1 0 1 0 0 200 0 200 0 200 0 200 1 0 1 0 1 0 1 0 0 100 0 100 0 100 0 100],9,[0.25 0.25 0.50 0.25 0.75 0.25 0.25 0.50 0.50 0.50 0.75 0.50 0.25 0.75 0.50 0.75 0.75 0.75])
in bemlabecom2 we change a & unb to : a1 a2,unb1 unb2
n=number of nodes=number of element=number of point
c=matrix that determine the coordinate of point
m=coordinate of nodes in global coordinates
index: determine u or un for boundary nodes
in:number of internal nodes
cin: coordinate of internal nodes
- 2012-01-29 03:47:10下载
- 积分:1
-
一个声纹识别的全代码matlab(需要录音)
一个声纹识别的全代码matlab(需要录音)(A full code matlab for voiceprint recognition (recording required))
- 2020-10-30 23:09:56下载
- 积分:1
-
BPSK.QPSKMATLAB
说明: BPSK.QPSK的MATLAB仿真程序 (BPSK.QPSK matlab program)
- 2010-04-21 12:40:13下载
- 积分:1
-
Pcanshu
车牌号码识别检测程序,能快速有效检测车辆号码(License plate number recognition testing procedures, fast and effective detection of vehicle numbers)
- 2010-09-07 11:05:48下载
- 积分:1
-
ABCD
an example of ABCD matrix
- 2009-06-25 14:15:59下载
- 积分:1
-
chengzifa
基本的拉格朗日乘子法(又称为拉格朗日乘数法),就是求函数f(x1,x2,...)在g(x1,x2,...)=0的约束条件下的极值的方法。其主要思想是引入一个新的参数λ(即拉格朗日乘子),将约束条件函数与原函数联系到一起,使能配成与变量数量相等的等式方程,从而求出得到原函数极值的各个变量的解。
(Basic Lagrange multipliers (also known as Lagrange multiplier method), is of a function f (x1, x2 ,...) in g (x1, x2 ,...)= 0 constraints under the conditions of extreme value methods. The main idea is to introduce a new parameter λ (the Lagrange multiplier), the constraint function is linked together with the original function, so variables can be paired with an equal number of equations equation, thus obtained by the original function extreme solution of the various variables.)
- 2011-01-17 20:54:43下载
- 积分:1