Quadrature amplitude modulation

AI Thread Summary
The discussion focuses on solving a homework problem related to Quadrature Amplitude Modulation (QAM) in an Analog Signal Processing course. Participants are tasked with finding the expression for x_qam(t) and demonstrating how to extract signals m1(t) and m2(t) using synchronous detection with local oscillators. Initial attempts at expressing m1(t) and m2(t) raise doubts about their correctness, particularly regarding phase shifts and the roles of multiplication and addition in the signal processing scheme. Clarifications are made about the effects of phase shifts and the function of low-pass filters in eliminating high-frequency components. The conversation emphasizes the importance of understanding Fourier transforms and trigonometric identities in the context of QAM.
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Homework Statement


The problem is about the http://en.wikipedia.org/wiki/Quadrature_amplitude_modulation" . This is a work from my course Analog signal processing.
Here is the scheme

http://img99.imageshack.us/img99/9449/zrgwj2.jpg

Two things to do :
1. Find the expression of x_qam(t)
2. Show that each of the signals m1(t) and m2(t) can be extract thanks to the synchronous detection using two local oscillators in quadrature (cf. scheme)2. The attempt at a solution
For the first question, I say :
m1(t)=cos(wp*t)
m2(t)=cos(wp*t-Pi/2)*sin(wp*t-Pi/2)
But I really doubt that is correct.

For the second question, I have no idea :(

As it is an work from my course "Analog signal processing", it should deal with transform Fourier and this kind of stuff but I really don't know how to start. It would be really great to have some help.
 
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No, I don't think that's correct... what do the X elements do?
What does the Sigma element do?
 
mda said:
No, I don't think that's correct... what do the X elements do?
What does the Sigma element do?
X: multiplication
Sigma: addition

I think of that :
x_qam(t)=m1(t)*cos(wp*t)+m2(t)*sin(wp*t)

But what about the -Pi/2 ?
 
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correct. -pi/2 is a phase shift from cos to sin.
 
xqam= m1(t)*cos(wp*t) + m2(t)*cos(wp*t)*sin(wp*t)

The -Pi/2 block converts the cos into a sine.

At the top before the LP filter you have m1(t)*cos^2(wp*t) + m2(t)*cos^2(wp*t)*sin(wp*t)

The LP filter drops the high frequency components using trig identities. See http://en.wikipedia.org/wiki/Quadrature_amplitude_modulation
 
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