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From: james on 3 Mar 2010 00:03
A continuous-time signal xa(t) is composed of a linear combination of sinusoidal signals of frequencies 300 Hz, 500 Hz, 1.2 kHz, and 2.2 kHz. The signal xa(t) is sampled at a frequency 2.0 kHz to obtain a sampled sequence x[n]. Then x[n] is passed through an ideal low pass filter with a cutoff frequency of 700 Hz, and then converted into a continuous-time signal ya(t).
(a)
Draw the spectrum of the frequency components present in the sampled sequence x[n]?
(b)
What are the frequency components present in the reconstructed signal ya(t)?
From: samantha james on 3 Mar 2010 01:08
any help?
From: Mano Samuel on 3 Mar 2010 01:35
"samantha james " <hypercool1985(a)yahoo.com> wrote in message <hmkuc4$c0k$1(a)fred.mathworks.com>...
> any help?

sure.

Books to read.

1. sure.

1. INTRODUCTION TO DIGITAL FILTERS by JULIUS O. SMITH III

2. Digital Signal Processing Using MATLAB (Bookware Companion) by Vinay K. Ingle and John G. Proakis

Hope it helps
From: ImageAnalyst on 3 Mar 2010 08:33
On Mar 3, 1:08 am, "samantha james " <hypercool1...(a)yahoo.com> wrote:
> any help?

Well you'll have one aliased frequency. What do you think that would
be (before and after sampling at 2 kHz)? Then you have a "ideal" low
pass frequency at 700 so what frequencies do you think would survive
that? And of course you know that a perfect sine wave's frequency
spectrum is just a spike. So you have everything you need to know to
tell what the spectra will be.
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