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matlab 带通滤波,MATLAB窗函数实现带通滤波器

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%本函数利用窗函数法设计带通滤波器,主要用来滤出单一频率,即中心频率

%data是输入的数据, centerFre是带通的中心频率, offsetFre是频偏,最终带通为centerFre +- offsetFre/2

%,sampFre是采样率

function y = BPassFilter(data, centerFre, offsetFre, sampFre)

%设计I型带通滤波器

M = 0 ; %滤波器阶数(必须是偶数)

Ap = 0.82; %通带衰减

As = 45; %阻带衰减

Wp1 = 2pi(centerFre - offsetFre)/sampFre; %算出下边频

Wp2 = 2pi(centerFre + offsetFre)/sampFre; %算出上边频

% (1)矩形窗

N = ceil(3.6*sampFre/offsetFre); %计算滤波器阶数,采用矩形窗,3dB截频在中心频率到上下边频的中点

M = N - 1;

M = mod(M,2) + M ; %使滤波器为I型(偶数)

%单位脉冲响应的下脚标

h = zeros(1,M+1); %单位冲击响应变量赋初值

for k = 1:(M+1);

if (( k -1 - 0.5*M)==0)

h(k) = Wp2/pi - Wp1/pi;

else

h(k) = Wp2sin(Wp2.(k - 1 - 0.5M))/(pi(Wp2*(k -1 - 0.5*M))) -

Wp1sin(Wp1(k - 1 - 0.5M))/(pi(Wp1*(k -1 - 0.5*M)));

end

end

% (2) Hann Window

% N = ceil(12.4*sampFre/offsetFre); %计算滤波器阶数,采用矩形窗,3dB截频在中心频率到上下边频的中点

% M = N - 1;

% M = mod(M,2) + M ; %使滤波器为I型(偶数)

% h = zeros(1,M+1); %单位冲击响应变量赋初值

% for k = 1:(M+1);

% if (( k -1 - 0.5*M)==0)

% h(k) = Wp2/pi - Wp1/pi;

% else

%

h(k) = Wp2sin(Wp2.(k - 1 - 0.5M))/(pi(Wp2*(k -1 - 0.5*M))) -

Wp1sin(Wp1(k - 1 - 0.5M))/(pi(Wp1*(k -1 - 0.5*M)));

% end

% end

% K = 0:M;

% w = 0.5 - 0.5cos(2pi*K/M);

% h = h.*w;

% (3)Hamming Window

% N = ceil(14*sampFre/offsetFre); %计算滤波器阶数,采用矩形窗,3dB截频在中心频率到上下边频的中点

% M = N - 1;

% M = mod(M,2) + M ; %使滤波器为I型(偶数)

% h = zeros(1,M+1); %单位冲击响应变量赋初值

% for k = 1:(M+1);

% if (( k -1 - 0.5*M)==0)

% h(k) = Wp2/pi - Wp1/pi;

% else

%

h(k) = Wp2sin(Wp2.(k - 1 - 0.5M))/(pi(Wp2*(k -1 - 0.5*M))) -

Wp1sin(Wp1(k - 1 - 0.5M))/(pi(Wp1*(k -1 - 0.5*M)));

% end

% end

% K = 0:M;

% w = 0.54 - 0.46cos(2pi*k/M);

% h = h.*w;

% (4)Blackman window

% N = ceil(22.8*sampFre/offsetFre); %计算滤波器阶数,采用矩形窗,3dB截频在中心频率到上下边频的中点

% M = N - 1;

% M = mod(M,2) + M ; %使滤波器为I型(偶数)

% h = zeros(1,M+1); %单位冲击响应变量赋初值

% for k = 1:(M+1);

% if (( k -1 - 0.5*M)==0)

% h(k) = Wp2/pi - Wp1/pi;

% else

%

h(k) = Wp2sin(Wp2.(k - 1 - 0.5M))/(pi(Wp2*(k -1 - 0.5*M))) -

Wp1sin(Wp1(k - 1 - 0.5M))/(pi(Wp1*(k -1 - 0.5*M)));

% end

% end

% K = 0:M;

% w = 0.42 - 0.5cos(2piK/M) + 0.08cos(4piK/M);

% h = h.*w;

y = filter(h,[1],data);

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