Bartlett Method - Applied Digital Signal Processing - Exam, Exams of Digital Signal Processing

Main points of this past exam are: Bartlett Method, Dual-Tone, Multi-Frequency, Signal Consisting, Frequency Of Interest, Unity Amplitude, Periodogram

Typology: Exams

2012/2013

Uploaded on 03/30/2013

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Cork Institute of Technology
Bachelor of Engineering (Honours) in Electronic Engineering – Award
(Bachelor of Engineering in Electronic Engineering – Award)
(NFQ – Level 8)
Summer 2005
Elective: Applied Digital Signal Processing
(Time: 2 Hours)
Answer any four questions [each 25
marks]
Maximum available mark is 100.
Examiners: Dr. Joseph Connell
Prof. Cyril Burkley
Mr. John Ryan
Q1. (a) A Dual-Tone, Multi-Frequency signal consisting of a 770Hz and a 1336Hz
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 {2 -4 3}.
The causal input is given as
=
)(nx {6 -1}. Show that )(*)()( lrlhlr xxyx
=
.
Indicate how this expression might be used in system identification. [15 marks]
Q3. (a) A file contains digital data sampled at s
f Hz. Describe in detail using
amplitude plots the spectral implications of inserting I zeros between each
sample. [10 marks]
(b) A signal of bandwidth 5.70
fkHz 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]
pf2

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Cork Institute of Technology

Bachelor of Engineering (Honours) in Electronic Engineering – Award

(Bachelor of Engineering in Electronic Engineering – Award)

(NFQ – Level 8)

Summer 2005

Elective: Applied Digital Signal Processing

(Time: 2 Hours)

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

Examiners: Dr. Joseph Connell Prof. Cyril Burkley Mr. John Ryan

Q1. (a) A Dual-Tone, Multi-Frequency signal consisting of a 770Hz and a 1336Hz 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 )={2 -4 3}. The causal input is given as x ( n )={6 -1}. Show that r (^) yx ( l )= h ( l )* rxx ( l ). Indicate how this expression might be used in system identification. [15 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 4 th^ order. [15 marks]

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

x 2 sin^2 k k

π (^). The

desired signal is (^)  

3 cos

k d (^) 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. (^) [10 marks]

Q5. (a)^ Draw the block diagram of an adaptive processor being used for system identification or modelling. Explain how it works. [7 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]