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Material Type: Assignment; Professor: Buckley; Class: Comm Systems Engineering; Subject: Electrical & Computer Engr; University: Villanova University; Term: Spring 2009;
Typology: Assignments
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ECE 8700 Communication System Engineering, Spring 2009 Homework Set # 1
Suggested Problems from the Text 2.1,2.2,2.7,2.9 (signal & system theory for digital communications); 2.3,2.6,2.8,2.11,2.12,2.13 (signal space representation)
Homework # 1 (Due Wed., Jan. 21 before class): (Do all. Submit problems 2, 3, 4, 7, 8.)
ej^2 πf t^ dt = δ(f ) (1)
where δ(f ) is the continuous impulse function.)
(a) In Lectures 1, after Eq (40), it is noted that the coefficients sk = vHk v minimize the Euclidean norm (i.e. the energy) of the error vector
e = v − vˆ = v −
∑^ m
k=
sk vk = v − V s (2)
of the the low rank orthonormal expansion of n-dimensional vector v with respect to the orthonormal vectors vk; k = 1, 2 , · · · , m (where m < n). Prove this by taking the derivatives of ||e||^2 with respect to the sk; k = 1, 2 , · · · , m and setting them equal to zero. To simplify this, assume all values are real-valued. (b) Given the optimum s′ ks, and starting with Eq (40) of Lecture 1, prove Eq (41).
φk(t) =
2 π
ej(2π/T^ )kt; k = 0, ± 1 , ± 2 , · · · − (T /2) ≤ t < (T /2). (3)
Determine the coefficients of the low rank approximation
xˆ(t) =
∑^1
k=− 1
sk φk(t) (4)
that minimize the Euclidean norm of the error e(t) = x(t)−ˆx(t). What is this minimum error Euclidean norm? (Hint: it may be useful but it is not necessary to understand that this is a Fourier series problem.)