## Signal power in Matlab

### Abdelrahman Marconi (view profile)

on 12 Jan 2013
Latest activity Commented on by mohammadreza

on 28 May 2015

### Wayne King (view profile)

hi all I'm using the functions(fft,ifft) in a matlab code,theoretically signal power must not be changed before and after transformation according to Parsaval theorem. But when calculating the signal power before and after using E{X^2},the power of the 2 signals aren't the same. please can any body helping solving this issue. Thanks

### Wayne King (view profile)

on 12 Jan 2013

I'm surprised that you have a signal where you take the DFT, then you take the inverse DFT and the l2 norms are different, can you show this?

If you mean that the l2 norms are different in the time and Fourier domains, then that is expected.The way the DFT and inverse DFT are implemented in MATLAB and many other software packages, the DFT is NOT a unitary operator. You are missing a factor

```   x = randn(32,1);
% now compute the l2 norm in time
norm(x,2)^2
% take the Fourier transform
xdft = fft(x);
% divide by the appropriate factor
norm(xdft./sqrt(length(x)),2)^2```

But again, if you are saying that the following results in a difference, I'm very surprised

```     x = randn(32,1);
norm(x,2)^2
xdft = fft(x);
xhat = ifft(xdft);
norm(xhat,2)^2```

### Abdelrahman Marconi (view profile)

on 12 Jan 2013

``` Dear Wayne King ,i really appreciate your answer, it is very useful.
but please try the same code with (ifft only) the power of the signal before and after aren't the same
Thank you```

Wayne King

### Wayne King (view profile)

on 12 Jan 2013

See my comment below and the following:

```   x = randn(32,1);
norm(x,2)^2
xdft = ifft(x);
norm(sqrt(length(x)).*xdft,2)^2```

### Abdelrahman Marconi (view profile)

on 12 Jan 2013

please try this code { x = randn(32,1); % now compute the l2 norm in time a=norm(x,2)^2 % take the Fourier transform xdft = ifft(x); % divide by the appropriate factor b=norm(xdft./sqrt(length(x)),2)^2 } a and b aren't the same

Wayne King

### Wayne King (view profile)

on 12 Jan 2013

That's because if you are using ifft() (and I'm not sure why you are with a time signal), then the factor is multiplicative

```   x = randn(32,1);
norm(x,2)^2
xdft = ifft(x);
norm(sqrt(length(x)).*xdft,2)^2```
Abdelrahman Marconi

### Abdelrahman Marconi (view profile)

on 12 Jan 2013

Actually the thing that made me think in such this issue is that i have little difference in a Matlab simulation of the OFDM system with the theoretical results, and when i remove the ifft and fft it give me perfect match, so i needed to make sure that the ifft and fft does preserve the signal power.

on 12 Jan 2013