Hi Karthikeyan,
Before concerning about how to find PSD in matlab, you need to make sure that
you theoretically know how to find the PSD of a random process. you need to
first find the autocorrelation function of your random variable. then taking the
"FFT" of that will give you the PSD. this isknown asthe Wiener-Kitchenor
recently Wiener-Kitchen-Einstein theorem.
On the other hand, constant PSD means uniform distribution whichmeans any of
the random values has equal probability of occurrenceaswiththe others.
I recommend you to do some reading on RandomProcesses and Statistical Analysis.
good luck..
TayyaR.
--- On Mon, 11/3/08, Karthikeyan Kittappan wrote:
From: Karthikeyan Kittappan
Subject: [matlab] PSD of Random Numbers using MATLAB
To: m...
Date: Monday, November 3, 2008, 9:08 PM
Hi,
I am an Mechanical student and i am trying to generate a random rough
surface (with specified ACF and Std Deviation) using 2D FIR filter in
Matlab. I come across a paper that helps me doing that.
For that, first i need to generate a input sequence composed of
independent random numbers {I,J)}. The paper says its PSD must be a
constant.
I used matlab to generate independent random numbers using the function
randn(94) and tried to find the PSD of the sequence by using the
function 'fft' in matlab. But its not giving me a constant.
Somebody please explain me 1. Why PSD is constant? 2. How to find PSD
using MATLAB?