In addition to the Noisy
	Channel Coding Theorem and its converse, Shannon also
	derived the capacity for a bandlimited (to WW Hz) additive
	white noise channel.  For this case, the signal set is
	unrestricted, even to the point that more than one bit can be
	transmitted each "bit interval."  Instead of constraining
	channel code efficiency, the revised Noisy Channel Coding
	Theorem states that some error-correcting code exists such
	that as the block length increases, error-free transmission is
	possible if the source coder's datarate,
      
	BA-R
      
	  
	  
	    
	    
	      B
	      A
	    
	  
	  R
	, is less than capacity.
      
	  C=Wlog
		  2
		(1+SNR)
		 bits/s
	      
	
	    
	    C
	    
	      
	      W
	      
		
		
		  2
		
		
		  
		  1
		  SNR
		
	      
	      
		 bits/s
	      
	    
	  
      
(1)
      
      This result sets the maximum datarate of the source
      coder's output that can be transmitted through the bandlimited
      channel with no error. 
      Shannon's proof of his theorem was very clever, and did not
      indicate what this code might be; it has never been found.
      Codes such as the Hamming code work quite well in practice to
      keep error rates low, but they remain greater than zero.  Until
      the "magic" code is found, more important in communication
      system design is the converse.  It states that if your data rate
      exceeds capacity, errors will overwhelm you no matter what
      channel coding you use.  For this reason, capacity calculations
      are made to understand the fundamental limits on transmission rates.
    
    
	
	  The first definition of capacity applies only for binary
	  symmetric channels, and represents the number of
	  bits/transmission. The second result states capacity more
	  generally, having units of bits/second. How would you
	  convert the first definition's result into units of
	  bits/second?
	
       
	  To convert to bits/second, we divide the capacity stated in
	  bits/transmission by the bit interval duration TT.
	
 
    
	The telephone channel has a bandwidth of 3 kHz and a
	signal-to-noise ratio exceeding 30 dB (at least they promise
	this much).  The maximum data rate a modem can produce for
	this wireline channel and hope that errors will not become
	rampant is the capacity.
	
	    C=3×103log
		    2
		  (1+103)=29.901 kbps
	  
	      
	      C
	      
		
		33
		
		  
		  
		    2
		  
		  
		    
		    1
		    
		      
		      10
		      3
		    
		  
		
	      
	      29.901 kbps
	    
	
(2) 
	
	Thus, the so-called 33 kbps modems operate right at the
	capacity limit.
      
 
    
      Note that the data rate allowed by the capacity can exceed the
      bandwidth when the signal-to-noise ratio exceeds 0 dB.  Our
      results for BPSK and FSK indicated the bandwidth they require
      exceeds
      
	1T
      
	  
	  1
	  T
	.  What kind of signal sets might be used to achieve
      capacity?  Modem signal sets send more than one bit/transmission
      using a number, one of the most popular of which is
      multi-level signaling.  Here, we can transmit
      several bits during one transmission interval by representing
      bit by some signal's amplitude.  For example, two bits can be
      sent with a signal set comprised of a sinusoid with amplitudes
      of
      
	±A
      
	  ±
	  A
	
      and  
      
	±A2
      
	  ±
	  
	    
	    A
	    2
	  
	.
    
   
        
"Electrical Engineering Digital Processing Systems in Braille."