Digital Signal Processing Exam - Bachelor of Engineering in Electronic Engineering, Exams of Digital Signal Processing

The exam for the applied digital signal processing course in the bachelor of engineering (honours) in electronic engineering program at cork institute of technology. The exam is from summer 2007 and covers topics such as dual-tone multi-frequency signals, goertzel cell, periodogram, bartlett methods, convolution, correlation, spectral implications of zero insertion, and system identification.

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2012/2013

Uploaded on 03/30/2013

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Cork Institute of Technology
Bachelor of Engineering (Honours) in Electronic Engineering- Award
(NFQ Level 8)
Summer 2007
Applied Digital Signal Processing
(Time: 2 Hours)
Answer any four questions [each 25
marks]
Maximum available mark is 100.
Examiners: Dr. J. Connell
Prof. G. Hurley
Dr. S. Foley
Q1. (a) A Dual-Tone, Multi-Frequency signal consisting of a 852Hz and a 1477Hz
component is sampled at 8kHz. Discuss an analysis procedure for accurately
determining the spectral content of the digital signal. Assume that 40mSecs
maximum of data is available. [10 marks]
(b) A 30Hz, unity amplitude sinwave is sampled at 80Hz. Use a Goertzel cell to evaluate
the DFT at the frequency of interest. [15 marks]
Q2. (a) Compare the Periodogram and Bartlett methods for calculating the power spectrum
of a digital signal. [10 marks]
(b) The causal impulse response of an LTI system is given as
=
)(nh {1 -2 5}. The
causal input is given as
=
)(nx {2 -3}. Using the expressions for convolution and
correlation, show that )(*)()( lrlhlr xxyx
=
.
Indicate how this expression might be used in system identification. [15
marks]
pf2

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Cork Institute of Technology

Bachelor of Engineering (Honours) in Electronic Engineering- Award

(NFQ Level 8)

Summer 2007

Applied Digital Signal Processing

(Time: 2 Hours)

Answer any four questions [each 25 marks] Maximum available mark is 100.

Examiners: Dr. J. Connell Prof. G. Hurley Dr. S. Foley

Q1. (a) A Dual-Tone, Multi-Frequency signal consisting of a 852Hz and a 1477Hz component is sampled at 8kHz. Discuss an analysis procedure for accurately determining the spectral content of the digital signal. Assume that 40mSecs maximum of data is available. [10 marks] (b) A 30Hz, unity amplitude sinwave is sampled at 80Hz. Use a Goertzel cell to evaluate the DFT at the frequency of interest. [15 marks]

Q2. (a) Compare the Periodogram and Bartlett methods for calculating the power spectrum of a digital signal. [10 marks] (b) The causal impulse response of an LTI system is given as h ( n )={1 -2 5}. The causal input is given as x ( n )={2 -3}. Using the expressions for convolution and correlation, show that r (^) yx ( l )= h ( l )* rxx ( l ).

Indicate how this expression might be used in system identification. [ marks]

Q3. (a) A file contains digital data sampled at f (^) s Hz. Describe in detail using amplitude plots the spectral implications of inserting I zeros between each sample. [10 marks] (b) A signal of bandwidth 0 ≤ f ≤ 7. 5 kHz is sampled at 20kHz. It is required to generate a second sequence of samples corresponding to a sampling frequency of 15kHz. Discuss a strategy for producing the second sequence. Write efficient software to perform the interpolation task. Assume any filter used is 4th^ order. [15 marks]

Q4. (a) A first order, single input, adaptive linear combiner has an input (^)  

x k 2 sin^2 π k^. The

desired signal is (^)  

d 3 cos^2 k k

π . Using the expression for the gradient of the error

surface, ∇ = 2 RW − 2 P , derive an expression for the optimum weight vector, W*. [15 marks] (b) With the filter tapweights in (a) set to their optimum value, verify the operation of the system for k = 2, 8. [ marks]

Q5. (a) Draw the block diagram of an adaptive processor being used for system identification or modelling. Explain how it works. [ marks] (b) A system identifier consists of a processor with ADConverters on Port 0 and Port 2. The plant output is connected to Port 0 and the plant input is connected to Port 2. Assuming a first order, nonrecursive filter is used, write pseudo-assembler software to implement the system. The weights are adapted using the LMS algorithm. The adaptation gain constant is μ = 0. 01. [18 marks]