预测模型基于weiner滤波预测matlab源码
Posted MatlabQQ1575304183
tags:
篇首语:本文由小常识网(cha138.com)小编为大家整理,主要介绍了预测模型基于weiner滤波预测matlab源码相关的知识,希望对你有一定的参考价值。
一、简介
基于matlab GUI一步线性+weiner滤波预测
二、源代码
function varargout = WeinerFilter(varargin)
% WEINERFILTER M-file for WeinerFilter.fig
% WEINERFILTER, by itself, creates a new WEINERFILTER or raises the existing
% singleton*.
%
% H = WEINERFILTER returns the handle to a new WEINERFILTER or the handle to
% the existing singleton*.
%
% WEINERFILTER('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in WEINERFILTER.M with the given input arguments.
%
% WEINERFILTER('Property','Value',...) creates a new WEINERFILTER or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before WeinerFilter_OpeningFcn gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to WeinerFilter_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 WeinerFilter
% Last Modified by GUIDE v2.5 28-May-2021 16:23:34
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @WeinerFilter_OpeningFcn, ...
'gui_OutputFcn', @WeinerFilter_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 WeinerFilter is made visible.
function WeinerFilter_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 WeinerFilter (see VARARGIN)
% Choose default command line output for WeinerFilter
handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
set(handles.listSignal,'string', ...
'1-|2-AR过程的信号|3-两个正弦信号叠加+N|4-单一正弦信号|5-SAR_Line');
% UIWAIT makes WeinerFilter wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = WeinerFilter_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 btnWiener.
function btnWiener_Callback(hObject, eventdata, handles)
% hObject handle to btnWiener (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
%获取数据
pInfo = getappdata(handles.figure1,'mydata');
x=pInfo.pData;
s=pInfo.pDataS;
M=length(x);
N=str2num(get(handles.edLengthFilter,'string'));
fNoiseM=str2num(get(handles.edNoiseM,'string'));
% 指定输出
axes(handles.axesOut);
%自相关矩阵 %自相关矩阵R
Re=zeros(1,M);
for i=1:N
for j=1:M
if j+i-1<=M
Re(1,i)=x(1,j)*x(1,j+i-1)'/(M-i+1)+Re(1,i);
end
end
end
R=zeros(N,N);
for i=1:N
for j=i:N
if(i==j)
R(i,i)=Re(1,1);
else
R(i,j)=Re(1,j-i+1);
R(j,i)=conj(R(i,j));
end
end
end
%互相关矩阵 r
r=zeros(1,N);
for i=1:N
for j=1:M
if j-i+1>0
r(1,i)=x(1,j)*s(1,j-i+1)'/(M-i+1)+r(1,i);
end
end
end
Wopt=inv(R)*r'; %最优抽头权向量
X=zeros(1,M); %滤波器输出
for n1=1:M
if n1<N
for i=0:n1-1
X(1,n1)=Wopt(i+1,1)*x(1,n1-i)+X(1,n1);
end
else
for i=0:N-1
X(1,n1)=Wopt(i+1,1)*x(n1-i)+X(1,n1);
end
end
end
% %%去延迟
% for j=1:M
% if(j>=M-iDelay-iDelay)
% XX(1,j)=0;
% else
% XX(1,j)=X(1,j+iDelay+iDelay);
% end
% end
hold off
plot(s,'.-k','linewidth',2);hold on
plot(x,'.-b');
hold on
plot(X,'*-r','linewidth',2);
hold off
legend('原信号','噪声信号','滤波信号')
%%
% --- Executes on selection change in listSignal.
function listSignal_Callback(hObject, eventdata, handles)
% hObject handle to listSignal (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: contents = get(hObject,'String') returns listSignal contents as cell array
% contents{get(hObject,'Value')} returns selected item from listSignal
% --- Executes during object creation, after setting all properties.
function listSignal_CreateFcn(hObject, eventdata, handles)
% hObject handle to listSignal (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: listbox 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 edLengthSignal_Callback(hObject, eventdata, handles)
% hObject handle to edLengthSignal (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 edLengthSignal as text
% str2double(get(hObject,'String')) returns contents of edLengthSignal as a double
% --- Executes during object creation, after setting all properties.
function edLengthSignal_CreateFcn(hObject, eventdata, handles)
% hObject handle to edLengthSignal (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
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10
- 11
- 12
- 13
- 14
- 15
- 16
- 17
- 18
- 19
- 20
- 21
- 22
- 23
- 24
- 25
- 26
- 27
- 28
- 29
- 30
- 31
- 32
- 33
- 34
- 35
- 36
- 37
- 38
- 39
- 40
- 41
- 42
- 43
- 44
- 45
- 46
- 47
- 48
- 49
- 50
- 51
- 52
- 53
- 54
- 55
- 56
- 57
- 58
- 59
- 60
- 61
- 62
- 63
- 64
- 65
- 66
- 67
- 68
- 69
- 70
- 71
- 72
- 73
- 74
- 75
- 76
- 77
- 78
- 79
- 80
- 81
- 82
- 83
- 84
- 85
- 86
- 87
- 88
- 89
- 90
- 91
- 92
- 93
- 94
- 95
- 96
- 97
- 98
- 99
- 100
- 101
- 102
- 103
- 104
- 105
- 106
- 107
- 108
- 109
- 110
- 111
- 112
- 113
- 114
- 115
- 116
- 117
- 118
- 119
- 120
- 121
- 122
- 123
- 124
- 125
- 126
- 127
- 128
- 129
- 130
- 131
- 132
- 133
- 134
- 135
- 136
- 137
- 138
- 139
- 140
- 141
- 142
- 143
- 144
- 145
- 146
- 147
- 148
- 149
- 150
- 151
- 152
- 153
- 154
- 155
- 156
- 157
- 158
- 159
- 160
- 161
- 162
- 163
- 164
- 165
- 166
- 167
- 168
- 169
- 170
- 171
- 172
- 173
- 174
- 175
- 176
- 177
- 178
- 179
- 180
- 181
- 182
- 183
- 184
- 185
- 186
- 187
- 188
- 189
- 190
- 191
- 192
- 193
- 194
三、运行结果
四、备注
以上是关于预测模型基于weiner滤波预测matlab源码的主要内容,如果未能解决你的问题,请参考以下文章
预测模型基于matlab离散状态空间模型模拟预测控制仿真系统(单输入单输出)含Matlab源码 1537期