function varargout = try1(varargin)
% TRY1 MATLAB code for try1.fig
% TRY1, by itself, creates a new TRY1 or raises the existing
% singleton*.
%
% H = TRY1 returns the handle to a new TRY1 or the handle to
% the existing singleton*.
%
% TRY1('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in TRY1.M with the given input arguments.
%
% TRY1('Property','Value',...) creates a new TRY1 or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before try1_OpeningFcn gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to try1_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 try1
% Last Modified by GUIDE v2.5 04-Dec-2019 14:43:43
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @try1_OpeningFcn, ...
'gui_OutputFcn', @try1_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 try1 is made visible.
function try1_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 try1 (see VARARGIN)
% Choose default command line output for try1
handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes try1 wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = try1_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;
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
% --- Executes during object creation, after setting all properties.
function edit1_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: edit 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 edit2_Callback(hObject, eventdata, handles)
% hObject handle to edit2 (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 edit2 as text
% str2double(get(hObject,'String')) returns contents of edit2 as a double
% --- Executes during object creation, after setting all properties.
function edit2_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit2 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: edit 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 edit3_Callback(hObject, eventdata, handles)
% hObject handle to edit3 (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 edit3 as text
% str2double(get(hObject,'String')) returns contents of edit3 as a double
% --- Executes during object creation, after setting all properties.
function edit3_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit3 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: edit 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 pushbutton1.
function pushbutton1_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
set(handles.edit3,'String','')
cla(handles.axes1);cla(handles.axes2); cla(handles.axes2); cla(handles.axes2);
xn = str2num(get(handles.edit1,'string'))
hn = str2num(get(handles.edit2,'string'))
xs = str2num(get(handles.edit4,'String'))
hs = str2num(get(handles.edit5,'String'))
Lx = length(xn)
Lh = length(hn)
Ly = Lx+Lh-1
ys = xs+hs
yn = zeros(1,Ly)
axes(handles.axes1);
stem(xs:xs+Lx-1,xn,'fill');axis([-1 Lx -max(abs(xn))-1 max(abs(xn))+1])
axes(handles.axes2);
stem(hs:hs+Lh-1,hn,'fill');axis([-1 Lh -max(abs(hn))-1 max(abs(hn))+1])
h1 = fliplr(hn)
n1 = -Lh-hs+1:-hs
for n = 1:Ly
for m = 1:Lh
k = n-m+1
if k>=1 && k<=Lx
yn(n) = yn(n)+hn(m)*xn(k)
end
axes(handles.axes3);
stem([xs:xs+Lx-1 n1+n-1],[xn h1],'fill');
axis([-Ly-1 Ly+1 -max(max(abs(hn),max(abs(xn))))-1 max(max(abs(hn),max(abs(xn))))+1])
axes(handles.axes4);
stem(ys:ys+Ly-1,yn,'fill');axis([-Ly-1 Ly+1 -max(abs(yn))-1 max(abs(yn))+1])
end
end
str3 = num2str(yn)
str4 = num2str(ys)
set(handles.edit3,'String',str3)
set(handles.edit6,'String',ys)
function edit4_Callback(hObject, eventdata, handles)
% hObject handle to edit4 (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 edit4 as text
% str2double(get(hObject,'String')) returns contents of edit4 as a double
% --- Executes during object creation, after setting all properties.
function edit4_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit4 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: edit 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 edit5_Ca
循环卷积与线性卷积对比-matlab代码.zip
需积分: 0 32 浏览量
更新于2024-01-09
收藏 85KB ZIP 举报
在信号处理和图像处理领域,卷积是一种基本且至关重要的操作。本文件包"循环卷积与线性卷积对比-matlab代码.zip"包含了两个关键概念的MATLAB实现:循环卷积(Circular Convolution)和线性卷积(Linear Convolution)。下面将详细介绍这两个概念及其MATLAB代码实现。
**1. 线性卷积**
线性卷积是两个函数在无限域内的乘积积分,它是信号处理中的基础操作,用于滤波、频谱分析和系统响应等。MATLAB中,可以使用`conv`函数来执行线性卷积。例如,在`try1.m`代码中,可能会有类似以下的语句:
```matlab
x = ...; % 输入信号
h = ...; % 滤波器 impulse 响应
y = conv(x, h); % 线性卷积
```
线性卷积的结果长度通常比输入信号的长度更长,除非使用'same'选项来截取中心部分。
**2. 循环卷积**
循环卷积是线性卷积的一种特殊情况,当两个序列在有限域内进行卷积并考虑周期性时,就形成了循环卷积。在数字信号处理中,循环卷积经常用于离散傅立叶变换(DFT)的计算。MATLAB中的`fft`函数可以用于实现循环卷积,通过先进行傅立叶变换,然后乘以相应频率响应,最后逆傅立叶变换回时域。例如:
```matlab
n = length(x);
y = ifft(fft(x).*fft(h)); % 循环卷积
```
这里的`.*`是元素级乘法,适用于复数向量。
**3. MATLAB代码分析**
在`try1.m`脚本中,可能包含对这两种卷积方式的比较。通常,会通过绘制输入信号、滤波器响应、线性卷积结果和循环卷积结果的图形来直观展示区别。`try1.fig`文件则保存了图形用户界面(GUI)的布局和设计,可能包含了显示这些图形的轴、按钮和其他交互元素。
**4. 差异与应用场景**
线性卷积适用于无限或足够大的信号域,而循环卷积更适合处理有限长度的序列,特别是在数字信号处理和频谱分析中。两者之间的主要区别在于边界条件:线性卷积考虑的是无限域,而循环卷积则假设信号是周期性的。
**5. 结论**
通过这个MATLAB代码包,学习者可以深入理解线性卷积和循环卷积的概念,并掌握如何在实际问题中使用它们。实践操作能够帮助理解这两种卷积的计算过程和视觉效果,对于提高信号处理的理论与实践技能大有裨益。

m0_68357419
- 粉丝: 0
最新资源
- 高性能电机控制系统的可编程逻辑器件实现技术.docx
- 国内外主流三维GIS软件比较与应用分析.docx
- 基于HyperMAML算法的轴承小样本故障诊断研究与应用探索.docx
- 基于OBE理念的AI驱动软件工程专业教学改革模式构建.docx
- 基于大模型的腹腔镜胆囊切除术健康教育材料研究.docx
- 基于大数据分析的银行信贷风险管理优化策略.docx
- 基于图卷积自适应处理的水下图像质量提升算法研究.docx
- 基于智能算法的制造车间AGV路径优化与任务协同调度机制分析.docx
- 激光点云数据在单木胸径测量中的应用:最优切片厚度算法研究.docx
- 基于注意力机制的水下光流估算新算法研究.docx
- 教育大数据视野下的教学效果测量研究:评价指标体系构建与应用创新.docx
- 焦炭CSR和CRI性能预测:决策树算法在工业领域的应用.docx
- 精密机床动态误差补偿算法优化与应用.docx
- 企业市场营销模式创新:人工智能的角色与应用探索.docx
- 轻量化YOLOv7算法在钢材表面缺陷检测中的应用研究.docx
- 人工智能赋能的运筹学课程混合式教学模式构建与应用研究.docx