I generate some coefficents for a filter and can inspect the frequency response as following:
%%Orginal Data N = 5000; data = cumsum(randn(N,1)); t = 252; a = 2 / (t+1); b = repmat(1-a,1 ,N).^(1:N); %b are your filter coeff b = b ./ sum(b); a = 1; %%Plot the Filter on some example data ma = filter(b, a, data); figure;plot(data); hold all; plot(ma, 'r'); %%Plot the Response figure;freqz(b,1); [h,w] = freqz(b,1);
%%Find the impluse response n = 10; % I choose a large number allowing a good approximation m = 0; % I choose 0 here as I have 1 in my orignal filter ==> the output comes out as aNew = 1; [bNew,aNew] = invfreqz(h,w,n,m); %[bNew,aNew] = invfreqs(h,w,n,m); sys = tf(bNew,aNew) %%Plot the filter coeffcients x1 = [0: 1/(size(b,2) -1) : 1]; x2 = [0: 1/(size(bNew,2) -1) : 1]; figure;plot(x1,b); hold all; plot(x2,bNew, 'r');
invfreqz.m has some odd rules re calling it.
%%Orginal Data N = 5000; data = cumsum(randn(N,1)); t = 252; a = 2 / (t+1); b = repmat(1-a,1 ,N).^(1:N); b = b ./ sum(b); a = 1; %%Plot the Filter on some example data ma = filter(b, a, data); figure;plot(data); hold all; plot(ma, 'r'); %%Plot the Response figure;freqz(b,1, N); [h,w] = freqz(b,1,N); %%Using dflit % b = 1; a = -1; %Sanity Check. simple difference filter % Hd = dfilt.df1([b a],1); % num/ denom == a/b % fvtool(Hd); %%Find the impluse response % If n>(N-1) then you get a random answer! %If less then you get a visually different approximation, %albiet it one with the same frequency response when plotted using freqz.m n = N-1; m = 0; % I choose 0 here as I have 1 in my orignal filter ==> the output comes out as aNew = 1; wt = ones(size(w)); [bNew,aNew] = invfreqz(h,w,n,m);%, wt, 1000); %[bNew,aNew] = invfreqs(h,w,n,m); %sys = tf(bNew,aNew); %%Plot the filter coeffcients % These now match if you used n = N-1 x1 = [0: 1/(size(b,2) -1) : 1]; x2 = [0: 1/(size(bNew,2) -1) : 1]; figure;plot(x1,b); hold all; plot(x2,bNew, 'r'); %these always match figure; freqz(b); figure; freqz(bNew); %invfreqz expects the complex-valued frequency response, not just the %magnitude. If you only have the magnitude then use fdesign.arbmag % http://www.mathworks.co.uk/products/dsp-system/demos.html?file=/products/demos/shipping/dsp/arbmagdemo.html M = 1000; F = w/max(w); A = abs(h); d = fdesign.arbmag('N,F,A',M,F,A); Hd = design(d,'freqsamp'); %fvtool(Hd,'MagnitudeDisplay','Zero-phase'); b3 = Hd.Numerator(501:end); %symmetric so just take half. x1 = [0: 1/(size(b,2) -1) : 1]; x3 = [0: 1/(size(b3,2) -1) : 1]; figure;plot(x1,b); hold all; plot(x2,bNew, 'r'); plot(x3,b3, 'g');
Matlabsolutions.com provides guaranteed satisfaction with a
commitment to complete the work within time. Combined with our meticulous work ethics and extensive domain
experience, We are the ideal partner for all your homework/assignment needs. We pledge to provide 24*7 support
to dissolve all your academic doubts. We are composed of 300+ esteemed Matlab and other experts who have been
empanelled after extensive research and quality check.
Matlabsolutions.com provides undivided attention to each Matlab
assignment order with a methodical approach to solution. Our network span is not restricted to US, UK and Australia rather extends to countries like Singapore, Canada and UAE. Our Matlab assignment help services
include Image Processing Assignments, Electrical Engineering Assignments, Matlab homework help, Matlab Research Paper help, Matlab Simulink help. Get your work
done at the best price in industry.