You have to use .' (dot transpose)
If you use the tranpose operator on a complex-valued vector, matrix in MATLAB, it returns the conjugate transpose by default.
14 September 2016
Transposing vectors of complex numbers in Matlab
Careful when applying the transpose (apostophe) operator to a vector of complex numbers. See here:
01 September 2016
Correlation vs Convolution
This is a basic relationship in DSP.
When we talk about similarity between signals, we normally talk about "correlation".
When we talk about filtering, in the time domain that's a "convolution".
Correlation and convolution are basically the same thing.
The only difference is that correlation is a convolution by the inverted (or flipped) version of the same signal in the time domain:
y(n) = h(n)*x(n) --> convolution
y(n)=h(n)*x(-n) -> correlation
In Matlab/Octave that would be:
y = conv( h, x) for convolution
or
y = conv( h, flip(x)) for correlation.
In the frequency domain, the operation of flipping in the time domain translates into the "conjugate" version of the transform, that is with an inverted sign for its imaginary part.
When we talk about similarity between signals, we normally talk about "correlation".
When we talk about filtering, in the time domain that's a "convolution".
Correlation and convolution are basically the same thing.
The only difference is that correlation is a convolution by the inverted (or flipped) version of the same signal in the time domain:
y(n) = h(n)*x(n) --> convolution
y(n)=h(n)*x(-n) -> correlation
In Matlab/Octave that would be:
y = conv( h, x) for convolution
or
y = conv( h, flip(x)) for correlation.
In the frequency domain, the operation of flipping in the time domain translates into the "conjugate" version of the transform, that is with an inverted sign for its imaginary part.
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