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vad
基于小波变换的噪声环境下的语音识别方法，基于小波变换的噪声环境下的语音识别方法(Speech recognition method based on wavelet transform noise environment speech recognition method based on wavelet transform noise environment)
- 2013-03-09 12:14:24下载
- 积分：1
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algo-zhang-asuen
algo zhang and sun for squilitisation image
- 2014-12-13 19:56:13下载
- 积分：1
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CHENGXU
MUSIC算法[1] 是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(clear all
clc
List0= E:DOA估计仿真
List00=[ 2013-10-31_12_44_31 ]
for Li=1:1
List1=strcat(List0,List00(Li,:), Data )
In_p=[List1, ChanData ] 输入数据目录
Out_p=strcat([List1, DataDOA ]) 输出数据目录
NLen=10000 分段长度
M=16
r=15
c=299792458
List=List1(end-19:end-1) 选择目录
if(~exist(Out_p, ))
mkdir(Out_p)
end
)
- 2015-06-09 10:48:54下载
- 积分：1
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PMC
problem of neuronal networks : perceptron multicouche
- 2010-01-28 22:53:02下载
- 积分：1
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PMSM-SMC
永磁同步电机双闭环控制系统的滑模控制算法研究。(The slide control of PMSM.)
- 2021-02-15 14:09:47下载
- 积分：1
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1122
MATLAB实MATLAB实现跳频系统 MATLAB实现跳频系统 MATLAB实现跳频系统 (MATLAB program for FH)
- 2010-05-31 18:14:53下载
- 积分：1
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BPneuralnetworkexample
neural network algorithm, BP method
- 2013-11-10 06:49:41下载
- 积分：1
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PAPER3
Local correlation-based fingerprint matching
- 2011-12-18 12:08:30下载
- 积分：1
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2
说明： 有一个长度为整数L(1<=L<=10000)的马路，可以想象成数轴上长度为L的一个线段，起点是坐标原点，在每个整数坐标点有一棵树，即在0,1,2，...，L共L+1个位置上有L+1棵树。
现在要移走一些树，移走的树的区间用一对数字表示，如 100 200表示移走从100到200之间（包括端点）所有的树。
可能有M(1<=M<=100)个区间，区间之间可能有重叠。现在要求移走所有区间的树之后剩下的树的个数。
输入：
两个整数L(1<=L<=10000)和M(1<=M<=100)。
接下来有M组整数，每组有一对数字。
输出：
可能有多组输入数据，对于每组输入数据，输出一个数，表示移走所有区间的树之后剩下的树的个数。(Has a length of integer L (1 < = L < = 10000) of the road, one can imagine a number line segment of length L, the starting point is the coordinate origin, each integer coordinate points in a tree, i.e. 0,1 , 2, ..., L total has L+1 L+1 positions on the tree. Now to remove some trees, tree removed by a range of digitally represented, such as 100 200 represents removed (inclusive) between 100 and 200 all the trees. There may be M (1 < = M < = 100) intervals, there may be overlap between the intervals. Now, after the number of trees require the removal of all remaining sections of the tree. Input: two integer L (1 < = L < = 10000) and M (1 < = M < = 100). Then there is an integer M groups, each with a pair of numbers. Output: there may be multiple sets of input data, for each set of input data, the output of a number indicating the number of the removal of all remaining sections of the tree after tree.)
- 2015-03-22 23:35:47下载
- 积分：1
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prony 工具箱（in matlab）
prony工具箱用于对信号进行prony分析，(We have designed a software tool in MATLAB, the Prony Toolbox, to perform Prony analysis. Prony Toolbox (PTbox) is designed based on several considerations including data preprocessing, model order selection, model order selection criteria, signal subspace selection, signal and noise separation, root inspection and assessing residuals. The PTbox provides flexibility to compare and display analysis results simultaneously for several parameter variations.)
- 2019-05-13 18:08:42下载
- 积分：1
