How to convolve two equations

조회 수: 17 (최근 30일)
Asima Warner
Asima Warner 2017년 10월 31일
댓글: Taylor Artunian 2019년 12월 13일
I am trying to convolve two functions.
f(s) = (1-4s^2)^0.5
v(s) = sinc(s/pi)-0.5(sinc(s/2*pi))^2
I followed with entering in this:
w = conv(f,v,'full');
I keep getting an error. Would anyone know how to help? I'm not sure where I am going wrong?
  댓글 수: 6
Walter Roberson
Walter Roberson 2017년 10월 31일
Did you create
s = tf('s')
or using
syms s
? Either way, conv() is not valid for those.
Asima Warner
Asima Warner 2017년 10월 31일
I used syms s on a previous section of this problem. I was plotting a ram-lak filter and used this code:
syms s v
f(s, v) = sinc(s./pi)-0.5*sinc(s./(2*pi))^2;
ezplot(f, [-1,1])
Would that be affecting the conv? If so, would you have any suggestions on what to do?

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Walter Roberson
Walter Roberson 2017년 10월 31일
conv() is for discrete convolution. The use of symbolic variables implies continuous convolution. For that, you can use the fourier equivalence, that convolution in time is equivalent to addition in frequency.
syms s t
f(s) = sqrt(1-4*s^2)
v(s) = sinc(s/pi)-0.5*(sinc(s/2*pi))^2
fv = simplify(ifourier(fourier(f,s,t)+fourier(v,s,t),t,s))
  댓글 수: 2
Asima Warner
Asima Warner 2017년 10월 31일
I entered what you have provided and added
imshow(fv)
to display fv, but am receiving this error
Error using imageDisplayValidateParams Expected input number 1, I, to be one of these types:
numeric, logical
Instead its type was sym.
Error in images.internal.imageDisplayValidateParams (line 11) validateattributes(common_args.CData, {'numeric','logical'},...
Error in images.internal.imageDisplayParseInputs (line 78) common_args = images.internal.imageDisplayValidateParams(common_args);
Error in imshow (line 241) images.internal.imageDisplayParseInputs({'Parent','Border','Reduce'},preparsed_varargin{:});
Error in CT_ComputerProject_Week8 (line 62) imshow(fv)
Am I interpreting your code incorrectly? fv is the convolution between f(s) and v(s) and should be able to be displayed via imshow.
Taylor Artunian
Taylor Artunian 2019년 12월 13일
Convolution in time domain is equivalent to multiplication in frequency.

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