example_pr_2D_FFT_line_sensor

Matlab入门到精通的必备知识，希望对大家有用，谢谢！(Matlab Introduction to Mastery of the essential knowledge, useful for all, thank you!)

此程序为OSIC-MMSE程序，可用于多天线分层解码。(order SIC-MMSE program)

AHP层次分析法特征向量及其归一化的MATLAB实现(AHP Analytic Hierarchy feature vector and its normalized MATLAB implementation)

核磁共振成像的基本原理， 核磁共振成像仪中的接收机单元， 磁共振图像降噪的内容。 (The basic principle of magnetic resonance imaging, MRI of the receiver unit, magnetic resonance image noise content.)

用于产生FSK信号的程序，调用该函数直接产生FSK信号(used to proceed fsk signal, and it is very useful in signal processing)

利用GNSS 进行高精度导航定位的前提是正确固定载波相位观测值的整周模糊度。由Galileo 系统的4 个载波观测值可以 形成诸多有良好特性的组合观测值,利用这些组合观测值,结合MCAR 方法,可以有效地确定整周模糊度。(The use of high-precision GNSS navigation and positioning the premise is correct carrier phase observations fixed integer ambiguity. May consist of four carriers observations Galileo system There are many good characteristics to form a combination of observations using a combination of these observations, combined with MCAR method can effectively determine the integer ambiguity.)

通达信上的指标，明确显示支撑与压力的价格，并给予买卖和止损的信号。(Mastery indicators on the letter, clearly shows the price support and pressure, and the sale and stop signals given.)

功率谱密度的仿真，以matlab软件为基础，实现了多种谱密度的变换(Simulation of the power spectral density)

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)

A wavelet is a wave-like oscillation with an amplitude that starts out at zero, increases, and then decreases back to zero