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Unformatted text preview: ECE425. Fall 2006 Homework Set2 Your solutions to these problems are due in the ECE425 hand~in box at 5:00 PM on  Monday, Sept. 11, 2006. The handin box is located outside the south entrance to
Phillips Hall 219 (usual place) and we use the upper right hand box. No late homework
will be accepted without an official university excuse. Please work on these problems
well in advance of the due date as we fully expect you may have questions and/or need suggestions. I Problem 4 Total Harmonic Distortion of a Stepped Approximation to a Sinewave The Total Harmonic Distortion (TH D) of a sinewave approximation is defined as: ...__ [A22 +A32 +A42 + u H H “11/2lA1 Where A1 is amplitude of the fundamental ("first harmonic"), A2 is the amplitude of the
second harmonic, A3 the amplitude of the third harmonics, and so on. Show that THD of a
stepped approximationto a sinewave of exactly N steps per cycle is given to a good
approximation, for large N, by: THD=er5N [One way to solve this problem would be to use a Fourier series to determine the Ak. This
in itself would be a tedious calculation, which would depend on N of course. ln_this
problem we will see how Using a sampling theory approach makes the problem much
simpler]  Here are a serieson useful observations for you to consider in solving this problem. It is
not necessary to study these observations in any particular order: (1) If the frequency of the sinewave is f, and we have exactly N samples in one cycle of
the sinewave, explain why the "sampling rate" is fs=Nf.. (2) The problem of sampling a sinewave is an ordinary sampling problem. For a given N,
sketch the spectrum to see what harmonics are present? (3) By the definition of THD, note that any common faCtors in amplitudes cancels out top
and bottom. Given that the spectral shaping of the original sampling is the sample/hold
rolloff, what common factors do we expect in all frequency components that are actually present? (4) Is it true that 1/(mN1I)2+ 1/(mN+1)2 e 2/(mN)2? (5) The series 1 + 1/4 + 1/9 + 1/16 will likely appear. Look up this series sum if you
can find it You can also infer the exact expression for the sum by knowing the Correct
answer given to the the problem  assuming everything else is correct. Then verify this
sum using Matlab.. (6) Given that there is only a (pathetic!) 1/N reduction of THD, what do we learn by
considering the components that are actually nonzero (which we get from sampling
theory) that suggests that stepwise sinewave generation will be usequ in practice? Problem 5 Cascade of a DiscreteTime and a ContinuousTime SamplelHold. A time sequence x(n) consists of samples that are nonzero only for even values of n”
The odd valued samples are all of value 0‘. The samples are separated by a sampling
time T.‘ It is desired to convert this sequence to a continuoustime signal where the value of each
of the even samples is held for a period of 2T“ That is, the even samples are held for a
period T and then for an additional period ofT (replacing the odd values of 0)“ ' If we'do this with an ordinary D/A converter, samples would only be held for a period T‘.
What we need is first a discrete length2 hold. The input to the discrete hold is x(n) and the output, y(n) would be: y(n) = x(n) n even
y(n) = x(n1) n odd This length—2 hold isjust a simple length2 rectangular IOWpass.‘ Following this, the
ordinary sample/hold of length T achieves the desired result: (a) What is the frequency shaping of the S/H, Hr(f), that holds for length T?
(b) What would be the frequency shaping of a S/H, H2T(f), that holds fer 2T? (c) What is the spectral shaping (frequency response) of the length2 discrete hold, H2(f)? (d) It must be true that H2T(f) = H2(f) HT(f). Show this. Problem 6 Calculating the Freguency Response from the Impulse Response Consider a time sequence h(n) that represents the impulse response of a filter.
Suppose first that the impulse response is h1(n)=1 for n=0,1,2,...5.. Find the frequency
response H1(e“*’) that corresponds to h1(n), writing the result as the sum of cosines. Recalling that the “transfer function” corresponding to an impulse response h(n) is
given as the “z—transform” of h(n): 00 H(z) = Z h(n)z'” =_OO [Note that this is exactly the more general form of the DTFT for the entire zplane and not
just at z=elw, the unit circle] H(z) is a polynomial in 2'1, with the h(n) being the
coefficients of the polynomial. ' ' Write out H1(z) and find. the zeros. Compute the magnitude of the'frequency response H1(ej‘*’). Show that the zeros of H1(ej°‘) correSpond exactly to the zeros of H(z) that are on
the unit circle. Repeat these steps of mm = [1 2 3 4 5 6 5 4 3 2 1]. What is the relationship between mm) and h2(n)? How is this reflected in the zeros of
the transfer functions and in the manner in which the frequency response magnitudes
approach zero value? ...
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 Fall '05
 HEMAMI
 Digital Signal Processing, Signal Processing, Impulse response, Total harmonic distortion, SineWave

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