(New page: Synchronous Demodulation -> Assume that wc > wm and consider the signal: y(t)=x(t)coswct The original signal can be recovered by modulating y(t) with the same sinusoidal ca...)
 
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Synchronous Demodulation ->  
 
Synchronous Demodulation ->  
   Assume that wc > wm and consider the signal:  
+
   Assume that <math>w_c > w_m </math> and consider the signal:  
       y(t)=x(t)coswct  
+
       y(t)=x(t)<math>cosw_c t</math>  
 
   The original signal can be recovered by modulating y(t) with the same sinusoidal carrier and applying a low pass filter to the  
 
   The original signal can be recovered by modulating y(t) with the same sinusoidal carrier and applying a low pass filter to the  
 
   result.   
 
   result.   
       w(t)=y(t)coswct
+
       w(t)=y(t)<math>cosw_c</math>t
           =x(t)cos^2 wct
+
           =x(t)<math>cos^2 w_c</math>t

Revision as of 17:13, 29 July 2009

Synchronous Demodulation ->

  Assume that $ w_c > w_m  $ and consider the signal: 
     y(t)=x(t)$ cosw_c t $  
  The original signal can be recovered by modulating y(t) with the same sinusoidal carrier and applying a low pass filter to the 
  result.  
     w(t)=y(t)$ cosw_c $t 
         =x(t)$ cos^2 w_c $t

Alumni Liaison

Sees the importance of signal filtering in medical imaging

Dhruv Lamba, BSEE2010