【信号处理】基于matlab模拟数字信号混合和频谱分析

简介: 【信号处理】基于matlab模拟数字信号混合和频谱分析

✅作者简介:热爱科研的Matlab仿真开发者,修心和技术同步精进,matlab项目合作可私信。

🍎个人主页:Matlab科研工作室

🍊个人信条:格物致知。

更多Matlab仿真内容点击👇

智能优化算法       神经网络预测       雷达通信      无线传感器        电力系统

信号处理              图像处理               路径规划       元胞自动机        无人机

⛄ 内容介绍

现阶段,我国数字信号处理与仿真技术正在逐步的发展,成为了一门新兴学科,并以其自身独特的特点对其他学科进行影响.不仅如此,数字信号处理与仿真技术与我国国民经济的发展存在着密切的联系.它的应用使我们的生产生活发生了翻天覆地变化.本文从数字信号处理与仿真的相关概念出发,系统的阐述了基于MATLAB下的数字信号处理与仿真技术.

⛄ 部分代码

function varargout = signal_gui(varargin)

% SIGNAL_GUI MATLAB code for signal_gui.fig

%      SIGNAL_GUI, by itself, creates a new SIGNAL_GUI or raises the existing

%      singleton*.

%

%      H = SIGNAL_GUI returns the handle to a new SIGNAL_GUI or the handle to

%      the existing singleton*.

%

%      SIGNAL_GUI('CALLBACK',hObject,eventData,handles,...) calls the local

%      function named CALLBACK in SIGNAL_GUI.M with the given input arguments.

%

%      SIGNAL_GUI('Property','Value',...) creates a new SIGNAL_GUI or raises the

%      existing singleton*.  Starting from the left, property value pairs are

%      applied to the GUI before signal_gui_OpeningFcn gets called.  An

%      unrecognized property name or invalid value makes property application

%      stop.  All inputs are passed to signal_gui_OpeningFcn via varargin.

%

%      *See GUI Options on GUIDE's Tools menu.  Choose "GUI allows only one

%      instance to run (singleton)".

%

% See also: GUIDE, GUIDATA, GUIHANDLES


% Edit the above text to modify the response to help signal_gui


% Last Modified by GUIDE v2.5 22-Dec-2020 14:08:59


% Begin initialization code - DO NOT EDIT

gui_Singleton = 1;

gui_State = struct('gui_Name',       mfilename, ...

                  'gui_Singleton',  gui_Singleton, ...

                  'gui_OpeningFcn', @signal_gui_OpeningFcn, ...

                  'gui_OutputFcn',  @signal_gui_OutputFcn, ...

                  'gui_LayoutFcn',  [] , ...

                  'gui_Callback',   []);

if nargin && ischar(varargin{1})

   gui_State.gui_Callback = str2func(varargin{1});

end


if nargout

   [varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});

else

   gui_mainfcn(gui_State, varargin{:});

end

% End initialization code - DO NOT EDIT



% --- Executes just before signal_gui is made visible.

function signal_gui_OpeningFcn(hObject, eventdata, handles, varargin)

% This function has no output args, see OutputFcn.

% hObject    handle to figure

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)

% varargin   command line arguments to signal_gui (see VARARGIN)


% Choose default command line output for signal_gui

handles.output = hObject;


% Update handles structure

guidata(hObject, handles);


% UIWAIT makes signal_gui wait for user response (see UIRESUME)

% uiwait(handles.figure1);



% --- Outputs from this function are returned to the command line.

function varargout = signal_gui_OutputFcn(hObject, eventdata, handles)

% varargout  cell array for returning output args (see VARARGOUT);

% hObject    handle to figure

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)


% Get default command line output from handles structure

varargout{1} = handles.output;



% --- Executes on button press in pushbutton6.

function pushbutton6_Callback(hObject, eventdata, handles)

% hObject    handle to pushbutton6 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)

ret=questdlg('确认退出?','退出确认','yes','no','no');

if strcmp(ret,'no')

   return;

end

close(gcf);


% --- Executes on selection change in popupmenu3.

function popupmenu3_Callback(hObject, eventdata, handles)

% hObject    handle to popupmenu3 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)


% Hints: contents = cellstr(get(hObject,'String')) returns popupmenu3 contents as cell array

%        contents{get(hObject,'Value')} returns selected item from popupmenu3



% --- Executes during object creation, after setting all properties.

function popupmenu3_CreateFcn(hObject, eventdata, handles)

% hObject    handle to popupmenu3 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    empty - handles not created until after all CreateFcns called


% Hint: popupmenu controls usually have a white background on Windows.

%       See ISPC and COMPUTER.

if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))

   set(hObject,'BackgroundColor','white');

end



% --- Executes on button press in pushbutton5.

function pushbutton5_Callback(hObject, eventdata, handles)

% hObject    handle to pushbutton5 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)

fre2=get(handles.edit4,'string');

amp2=get(handles.edit5,'string');

points2=get(handles.edit6,'string');

fre2 = eval(fre2);

amp2 = eval(amp2);

points2 = eval(points2);

va2 = get(handles.popupmenu2,'Value');

str2 = get(handles.popupmenu2,'String');

switch str2{va2}

   case '正弦波'  

       fs = 100;

       N2 = points2;

       n2 = 0:N2-1;

       t2 = n2/fs;

       x2 = amp2*sin(2*pi*fre2*t2);

   case '方波'

       fs = 100;

       N2 = points2;

       n2 = 0:N2-1;

       t2 = n2/fs;

       x2 = amp2*square(2*pi*fre2*t2,50);

   case '三角波'          

       fs = 100;

       N2 = points2;

       n2 = 0:N2-1;

       t2 = n2/fs;

       x2 = amp2*sawtooth(2*pi*fre2*t2,0.5);

end


fre1=get(handles.edit1,'string');

amp1=get(handles.edit2,'string');

points1=get(handles.edit3,'string');

fre1 = eval(fre1);

amp1 = eval(amp1);

points1 = eval(points1);

val = get(handles.popupmenu1,'Value');

str = get(handles.popupmenu1,'String');

switch str{val}

   case '正弦波'  

       fs = 100;

       N1 = points1;

       n1 = 0:N1-1;

       t1 = n1/fs;

       x1 = amp1*sin(2*pi*fre1*t1);

   case '方波'

       fs = 100;

       N1 = points1;

       n1 = 0:N1-1;

       t1 = n1/fs;

       x1 = amp1*square(2*pi*fre1*t1,50);

   case '三角波'          

       fs = 100;

       N1 = points1;

       n1 = 0:N1-1;

       t1 = n1/fs;

       x1 = amp1*sawtooth(2*pi*fre1*t1,0.5);

end


axes(handles.axes3);

cla reset;

va2 = get(handles.popupmenu3,'Value');

str2 = get(handles.popupmenu3,'String');

switch str2{va2}

   case '加'

       if length(x1)>length(x2)

           t = t1;

           x = x1+x2;

           plot(t,x,'r');

           xlabel('时间');

           ylabel('信号');

       else

           t = t2;

           x = x1+x2;

           plot(t,x,'r');

           xlabel('时间');

           ylabel('信号');

       end

   case '减'

       if length(x1)>length(x2)

           t = t1;

           x = x1-x2;

           plot(t,x,'r');

           xlabel('时间');

           ylabel('信号');

       else

           t = t2;

           x = x1-x2;

           plot(t,x,'r');

           xlabel('时间');

           ylabel('信号');

       end

   case '乘'

       if length(x1)>length(x2)

           t = t1;

           x = x1.*x2;

           plot(t,x,'r');

           xlabel('时间');

           ylabel('信号');

       else

           t = t2;

           x = x1.*x2;

           plot(t,x,'r');

           xlabel('时间');

           ylabel('信号');

       end

   case '除'

       if length(x1)>length(x2)

           t = t1;

           x = x1./x2;

           plot(t,x,'r');

           xlabel('时间');

           ylabel('信号');

       else

           t = t2;

           x = x1./x2;

           plot(t,x,'r');

           xlabel('时间');

           ylabel('信号');

       end

end

guidata(hObject,handles);


% --- Executes on selection change in popupmenu1.

function popupmenu1_Callback(hObject, eventdata, handles)

% hObject    handle to popupmenu1 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)


% Hints: contents = cellstr(get(hObject,'String')) returns popupmenu1 contents as cell array

%        contents{get(hObject,'Value')} returns selected item from popupmenu1



% --- Executes during object creation, after setting all properties.

function popupmenu1_CreateFcn(hObject, eventdata, handles)

% hObject    handle to popupmenu1 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    empty - handles not created until after all CreateFcns called


% Hint: popupmenu controls usually have a white background on Windows.

%       See ISPC and COMPUTER.

if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))

   set(hObject,'BackgroundColor','white');

end




function edit1_Callback(hObject, eventdata, handles)

% hObject    handle to edit1 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)


% Hints: get(hObject,'String') returns contents of edit1 as text

%        str2double(get(hObject,'String')) returns contents of edit1 as a double

guidata(hObject,handles);


⛄ 运行结果

⛄ 参考文献

[1] 杨峰, 苏玉萍, 余冬菊. 用MATLAB模拟实现数字信号的调制与频谱分析[J]. 电脑学习, 2008.

[2] 王靖斌. 基于MATLAB的数字信号处理的模拟与仿真[J].  2008.

[3] 钟丽辉, 戴正权, 李莎. 基于MATLAB的工程实践性"数字信号处理"实验改革初探[J]. 工业和信息化教育, 2016(12):6.

⛳️ 代码获取关注我

❤️部分理论引用网络文献,若有侵权联系博主删除
❤️ 关注我领取海量matlab电子书和数学建模资料



相关文章
|
4月前
|
传感器 机器学习/深度学习 算法
【使用 DSP 滤波器加速速度和位移】使用信号处理算法过滤加速度数据并将其转换为速度和位移研究(Matlab代码实现)
【使用 DSP 滤波器加速速度和位移】使用信号处理算法过滤加速度数据并将其转换为速度和位移研究(Matlab代码实现)
326 1
|
4月前
|
机器学习/深度学习 数据采集 算法
【信号识别】识别半监督粗糙模糊拉普拉斯特征图(Matlab代码实现)
【信号识别】识别半监督粗糙模糊拉普拉斯特征图(Matlab代码实现)
|
8月前
|
机器学习/深度学习
利用matlab提取出频域和时域信号的29个特征
利用matlab提取出频域和时域信号的29个特征
|
8月前
|
机器学习/深度学习 算法 Python
MATLAB 实现轴承转轴信号仿真
轴承转轴信号仿真是一种重要的研究手段,用于分析轴承的健康状态、检测故障以及开发故障诊断算法。通过构建仿真信息并添加故障信号,可以生成用于轴承信号分析的测试数据。
|
7月前
|
数据安全/隐私保护 索引
基于EEMD变换的ECG心电信号去噪和心率估计matlab仿真
本课题基于EEMD变换对ECG心电信号进行去噪处理,并通过MATLAB仿真实现心率估计。研究分析了不同噪声强度下心率估计的准确性,验证方法的可靠性。核心程序采用巴特沃斯滤波器对重构信号滤波,结合希尔伯特变换提取R波峰值以计算心率。系统原理利用EEMD分解有效分离信号与噪声,提升特征提取精度,为临床诊断提供技术支持。仿真结果表明,该方法在低信噪比条件下仍能保持较高的心率估计准确度。
|
3月前
|
开发框架 算法 .NET
基于ADMM无穷范数检测算法的MIMO通信系统信号检测MATLAB仿真,对比ML,MMSE,ZF以及LAMA
简介:本文介绍基于ADMM的MIMO信号检测算法,结合无穷范数优化与交替方向乘子法,降低计算复杂度并提升检测性能。涵盖MATLAB 2024b实现效果图、核心代码及详细注释,并对比ML、MMSE、ZF、OCD_MMSE与LAMA等算法。重点分析LAMA基于消息传递的低复杂度优势,适用于大规模MIMO系统,为通信系统检测提供理论支持与实践方案。(238字)
|
4月前
|
安全 算法 自动驾驶
使用SSTL规范控制信号化交叉口研究(Matlab代码实现)
使用SSTL规范控制信号化交叉口研究(Matlab代码实现)
|
4月前
|
机器学习/深度学习 算法 语音技术
【语音分离】通过分析信号的FFT,根据音频使用合适的滤波器进行语音信号分离(Matlab代码实现)
【语音分离】通过分析信号的FFT,根据音频使用合适的滤波器进行语音信号分离(Matlab代码实现)
178 4
|
4月前
|
算法 Python
【国防科大硕士论文】V调频信号脉冲压缩+V-FM ISAR成像研究(Matlab代码实现)
【国防科大硕士论文】V调频信号脉冲压缩+V-FM ISAR成像研究(Matlab代码实现)
104 1
|
5月前
|
编解码 资源调度 算法
【信号处理】时序数据中的稀疏辅助信号去噪和模式识别(Matlab代码实现)
【信号处理】时序数据中的稀疏辅助信号去噪和模式识别(Matlab代码实现)
134 1

热门文章

最新文章