RSSImatlab

语音信号的先行预测编码LPC 低频率语音编码算法研究及其实时实现(Voice signal of the first predictive coding LPC low-frequency speech coding algorithm for real-time implementation)

实现时分秒的计数和校正实现时分秒的计数和校正(Realized and correction of minutes and seconds count)

通过优选法对潮汐调和分析得出的整点的高低潮时计算得出具体的高低潮时(Computed by the preferred method of tidal harmonic analysis of the whole point of the high and low tide draw concrete high and low tide)

matlab code cyclostattionary detection ofdm sgnal

點雲做三角連線，先找出一點，再找出最近兩點，並輸出成矩陣，使用三角外膜連線並畫出圖形。(Triangle nearest point connection Triangle nearest point of connection Triangle nearest point to connect the the triangle nearest point connection Triangle nearest point to connect the the triangle nearest point of connection triangle nearest point connection Triangle nearest point connection Triangle nearest point to connect the the triangle nearest point connection the triangle nearest point connection)

quantization in pam modulation

说明：  基本的matlab神经网络~包含建立数据库，建立初始化神经网络，对目标数据进行分析等~~(Basic matlab neural network ~ contains a database, create initialize neural networks, data analysis, the target ~ ~)

texture analysis using ANN

说明：  程序是基于K均值聚类的RBF代码，很好的一个例子。(K means clustering procedure is based on the RBF code, a good example.)

a=load( q.txt ) width=input( 请输入窗宽 ) step=input( 请输入步长 ) m=length(a) for i=1:floor((m-width)/step+1) s(i,1:width)=a(1,1+(i-1)*step:width+(i-1)*step) end b=max(max(s)) M=s./b Rs=input( 请输入本体集半径 ) nd=input( 请输入检测器数模 ) k=1 while k<=nd d{k}=rand(1,width) for i=1:floor((m-width)/step+1) if (norm(d{k}-s(i,:)))^2<Rs break end end k=k+1 end for j=1:nd for i=1:floor((m-width)/step+1) R(i)=(norm(d{j}-s(i,:)))^2(a = load (' q.txt' ) width = input (' Please enter the window width' ) step = input (' Enter step size' ) m = length (a) for i = 1: floor ((m-width)/step+1) s (i, 1: width) = a (1,1+ (i-1)* step: width+ (i-1)* step) end b = max (max (s)) M = s./b Rs = input (' Please enter the body set radius' ) nd = input (' Please enter the number of detector modules' ) k = 1 while k < = nd d {k} = rand (1, width) for i = 1: floor ((m-width)/step+1) if (norm (d {k}-s (i ,:)))^ 2 <Rs break end end k=k+1 end for j=1:nd for i=1:floor((m-width)/step+1) R(i)=(norm(d{j}-s(i,:)))^2)