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A past exam paper from the applied digital signal processing module of the bachelor of engineering (honours) in electronic engineering degree at cork institute of technology. The exam consists of five questions, each worth different marks, and covers topics such as spectral analysis, correlation functions, and adaptive filtering. Students are required to answer any four questions, with a total possible mark of 100. The exam was held in autumn 2005 and was supervised by dr. J. Connell, prof. C. Burkley, and mr. J. Ryan.
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(NFQ – Level 8)
Answer any four questions [each 25 marks] Maximum available mark is 100.
Examiners: Dr. J. Connell Prof. C. Burkley Mr. J. Ryan
Q1. (a) A unity-amplitude, 15Hz sin wave is sampled at 90Hz. 8 samples are taken from the sequence for spectral analysis. Discuss the nature of the amplitude spectrum thus produced. Include in your discussion possible window options and their effects. [10 marks]
(b) Using a Goertzel cell and one period of samples, evaluate the DFT for the signal in (a) at the frequency of interest. [15 marks]
Q2. (a) Discuss the nature and use of correlation functions in signal analysis. [10 marks]
(b) The causal impulse response of an LTI system is given as h ( n )={1 -3}. The causal input is given as x ( n )={2 -7}. Show that r (^) yy ( l )= rxx ( l )* rhh ( l ). How is the autocorrelation function related to the power spectrum? [15 marks]
Q3. (a) File1 contains digital data sampled at f (^) s Hz. Describe in detail using
amplitude plots the spectral implications of creating a new file2 using every 4 th^ sample from file1. (^) [10 marks]
(b) A signal of bandwidth 0 ≤ f ≤ 7. 5 kHz is sampled at 30kHz. It is required to generate a second sequence of samples corresponding to a sampling frequency of 10kHz. Discuss a strategy for producing the second sequence. Write efficient software to perform the task. Assume any filter used is 4th^ order. [15 marks]
Q4. (a) Draw the block diagram for an adaptive processor being used for noise cancellation. Explain how it works. [7 marks]
(b) A first order adaptive linear combiner has input 7
x cos 2 k k
input (^)
d 4 sin^2 k k
minimum MSE value. [18 marks]
Q5. (a) Discuss the nature of weight convergence when adapted using the LMS algorithm. In particular, include reference to the effect of the convergence
(b) Assuming the system in 4(b) is adapted using the LMS algorithm, calculate the weight values for the first 6 iterations starting at k = 0. Assume the initial weight values are zero and the convergence factor value is μ = 0. 1. [18 marks]