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之前说到来至加拿大的算账机器人用到CouchDB是一个开源的面向文档的数据库管理系统，PC-28算账机器人软件用到的CouchDB的问

 

然而也用到了OpenCV可以运行在Linux、Windows、Android和Mac OS操作系统上。

 

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OpenCV的全称是：Open Source Computer Vision Library。OpenCV是一个基于BSD许可（开源）发行的跨平台计算机视觉库，可以运行在Linux、Windows、Android和Mac OS操作系统上。

 

过程提示：

 

1001622374850687%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

%------------------------------------------------------------------------------------%

%************************************** Filter **************************************%

%------------------------------------------------------------------------------------%

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

% Date:2018.8.25

% Author:flypassion

% Version:1.0

clear all

close all

clc

%% Parameter Interface

Frequence0 = 60; %单位：Hz

Frequence1 = 130; %单位：Hz

Frequence2 = 1e3; %单位：Hz

SampleFre = 4e3; %单位：Hz

SampleLen = SampleFre; %采样点数

%% Main

%-------------------产生三路信号

t = 0:1/SampleLen:1/SampleFre*(SampleLen-1);

SignalData0 = sin(2*pi*Frequence0*t);

SignalData1 = sin(2*pi*Frequence1*t);

SignalData2 = sin(2*pi*Frequence2*t);

SignalData3 = SignalData0+SignalData1+SignalData2;

figure;hold on

plot(t(1:150),SignalData0(1:150),'b')

plot(t(1:150),SignalData1(1:150),'r')

plot(t(1:150),SignalData2(1:150),'k')

hold off

figure;plot(t(1:150),SignalData3(1:150))

title('三路信号求和')

%-------------------频谱分析

FFT_Data = fft(SignalData3);

Amplitude = abs(FFT_Data);

Amplitude = Amplitude/length(Amplitude);

Amplitude(2:end) = 2*Amplitude(2:end);

Frequence = (0:(length(Amplitude)/2-1))/length(Amplitude)*SampleFre;

figure;plot(Frequence,Amplitude(1:length(Frequence)))

title('三路信号叠加频谱')

%-------------------低通滤波

LPF_Coe = load('LPF_60M.mat');

LPF_Data = filter(LPF_Coe.LPF_60M,1,SignalData3);

figure;plot(t,LPF_Data)

title('低通滤波之后的波形')

%-------------------低通滤波之后频谱分析

FFT_LPF_Data = fft(LPF_Data);

Amplitude_LPF = abs(FFT_LPF_Data);

Amplitude_LPF = Amplitude_LPF/length(Amplitude_LPF);

Amplitude_LPF(2:end) = 2*Amplitude_LPF(2:end);

Frequence = (0:(length(Amplitude_LPF)/2-1))/length(Amplitude_LPF)*SampleFre;

figure;plot(Frequence,Amplitude_LPF(1:length(Frequence)))

title('低通滤波之后的频谱')

%-------------------带通滤波

BPF_Coe = load('BPF_130M.mat');

BPF_Data = filter(BPF_Coe.BPF_130M,1,SignalData3);

figure;plot(t,BPF_Data)

title('带通滤波之后的波形')

%-------------------带通滤波之后频谱分析

FFT_BPF_Data = fft(BPF_Data);

Amplitude_BPF = abs(FFT_BPF_Data);

Amplitude_BPF = Amplitude_BPF/length(Amplitude_BPF);

Amplitude_BPF(2:end) = 2*Amplitude_BPF(2:end);

Frequence = (0:(length(Amplitude_BPF)/2-1))/length(Amplitude_BPF)*SampleFre;

figure;plot(Frequence,Amplitude_BPF(1:length(Frequence)))

title('带通滤波之后的频谱')