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ECE-542 Digital Communication Theory Homework Assignment 8, Spring 2004, Assignments of Theories of Communication

Information about homework assignment 8 for the ece-542 digital communication theory course offered in spring 2004. The assignment includes five problems covering topics such as bit-error probability, symbol-error probability, gray-coding, continuity of functions, and closed and bounded sets. Students are expected to use counting arguments, properties of probabilities, and theorems to solve these problems.

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Pre 2010

Uploaded on 09/17/2009

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ECE-542 Digital Communication Theory, Spring 2004
Homework Assignment 8, Due date: Friday, Apr. 16, 2004
1. Carefully reconstruct the counting argument presented in class to show that if symbols have
equal priors, then the bit-error probability (Pb) and symbol-error probability (PS) are related as
PS=Pb(2k1)/(2k1),where kis the number of bits per symbol. Hint: First establish that the
average number of bit errors per symbol error is k2k1/(2k1). Then use the argument that the
average number of bit errors per symbol can be calculated either as kPbor as PS×the average
number of bit errors per symbol error.
2. of Show that in the case of gray-coding, and if we ignore non-adjacent symbol errors, then
Pb=PS/k.
3. Show that if a function from IR to IR is continuous, then the image of any closed and bounded set
is also closed (and bounded). Hint: First show that if xnxthen f(xn)f(x)iffis continuous.
4. Show that the set {xIR n:xi0,x
1+...+xn=1}is closed and bounded.
5. Use problems 3 and 4 to argue that the channel capacity for a discrete channel exists.

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ECE-542 Digital Communication Theory, Spring 2004 Homework Assignment 8, Due date: Friday, Apr. 16, 2004

  1. Carefully reconstruct the counting argument presented in class to show that if symbols have equal priors, then the bit-error probability (Pb) and symbol-error probability (PS ) are related as PS = Pb(2k^ − 1)/(2k−^1 ), where k is the number of bits per symbol. Hint: First establish that the average number of bit errors per symbol error is k 2 k−^1 /(2k^ − 1). Then use the argument that the average number of bit errors per symbol can be calculated either as kPb or as PS × the average number of bit errors per symbol error.
  2. of Show that in the case of gray-coding, and if we ignore non-adjacent symbol errors, then Pb = PS /k.
  3. Show that if a function from IR to IR is continuous, then the image of any closed and bounded set is also closed (and bounded). Hint: First show that if xn → x then f (xn) → f (x) if f is continuous.
  4. Show that the set {x ∈ IRn^ : xi ≥ 0 , x 1 +... + xn = 1} is closed and bounded.
  5. Use problems 3 and 4 to argue that the channel capacity for a discrete channel exists.