DSP Lab

SAMPLE viva questions
1.
What is MATLAB?
2.
What are the applications of MATLAB?
3.
State sampling theorem.
4.
What is meant by Nyquist rate and Nyquist criteria?
5.
Explain scaling and superposition properties of a system.
6.
What is meant by linearity of a syst
em and how it is related to scaling and
superposition?
7.
What is impulse function?
8.
What is meant by impulse response?
9.
What is energy signal? How to calculate energy of a signal?
10.
What is power signal? How to calculate power of a signal?
11.
Differentiate between
even and odd signals.
12.
Explain time invariance property of a system with an example.
13.
What is memory less system?
14.
When a system is said to have memory?
15.
What is meant by
causality?
16.
Explain linear convolution and circular convolution.
17.
What is the length of lin
ear and circular convolutions if the two sequences are
having the length n1 and n2?
18.
What are Fourier
series and Fourier
transform
?
19.
What are the advantages and special applications of Fourier transform, Fourier
series, Z transform and Laplace transform?
20.
Dif
ferentiate between DTFT and DFT. Why it is advantageous to use DFT in
computers rather than DTFT?
In DTFT, frequency appears to be continuous. But, in DFT, frequency is discrete.
This property is useful for computation in computers.
21.
How to perform linear
convolution using circular convolution?
If two signals x (n) and y (n) are of length n1 and n2, then the linear convoluted
output z (n) is of length n1+n2

1.
Each of the input
signals
is
padded with zeros to
make it of length n1+n2

1. Then circular convolu
tion is
done on zero padded
sequences to get the linear convolution of original input sequences x (n) and y (n).
22.
What is meant by correlation?
Correlation is the measure of similarity between two signal/waveforms.
It
compares the waveforms at different tim
e instants.
23.
What
is
auto

correlation
?
It is a measure of similarity
of similarity of a signal/waveform with itself.
24.
What is
cross

correlation?
25.
What are the advantages of using
autocorrelation and cross correlation
properties in
signal processing fields?
26.
How auto

correlation can be used to detect the presence of noise?
27.
Differentiate between IIR filters and FIR filters.
Signal
Real

Time
Signal
Processor
Refined
Data
28.
What is the procedure to
design a digital Butterworth filter?
29.
What is the diff
erence between Butterworth, Chebyshev I and Chebyshev II filters?
30.
What are difference equations and differential equations?
31.
What is non real time processing?
32.
What is meant by real time processing?
Ability to collect, analyze, a
nd modify signals in real

time
Real

Time: As these signals are occurring
We
can
analyze and process signals while collecting them, not at a later
time.
Disadv
antages
Require higher order
Increased hardware
More computations
Larger input and
output delays
Cost more
Sensitive to data
round off and cutoff
Make become
unstable
Poor phase response
FIR
IIR
Advantages
cost lesser
Faster computations
Less hardware, computations
Easier to design
Lower order required
FIR
IIR
Stable
Highly precise
Finite duration impulse response
Excellent phase response
The word

size effect such as round

off noise and coeffici
ent
quantization errors are much less
severe in FIR.
Signal
Collec
tor
Raw
Data
Processor
Refined
Data
33.
What is a Digital Signal Processor (DSP)?
Microprocessor specifically de
signed to perform fast DSP operations (e.g., Fast
Fourier Transforms, inner products, Multiply & Accumulate)
Good at arithmetic operations (multiplication/division)
Mostly programmed with Assembly and C through Integrated
Development Environment (IDE)
34.
Diff
erentiate between RISC and CISC architectures.
RISC
Emphasis
on
software
Single

clock,
reduced
instruction
only
large
code
size
Better C
compilers
CISC
Emphasis
on
hardware
Includes
multi

clock
complex
instructions
Small
code
sizes
Poor C
compilers
35.
D
ifferentiate between General purpose MPU(Micro Processor Unit) and DSP
Processor
MPU are built for a range of general

purpose functions such as
:
Data manipulation
Math calculations
Control systems
They run large blocks of software
They are used in rea
l

time and in unreal

time systems
DSPs are single

minded, dedicated to:
Perform mathematical calculations
Small blocks of software
Have a predictable execution time
Real

time only
Could assist a general

purpose host MPU
36.
What is pipelining?
DSP
Arithmetic
Varying internal format
Multiple memory access
Special addressing mode
Very large internal memory
Microprocessor
General purpose
Fixed internal format
Single memory access
General a
ddressing mode
Very large external memory
37.
What is parallel processing?
38.
What is MAC?
39.
What is barrel shifter? Why it is advantageous to use it in DSP processor?
40.
Differentiate between floating point DSP and fixed point DSP.
41.
Fixed Point/Floating Point
f
ixed point processor are :
i.
cheaper
ii.
smaller
iii.
less power consuming
iv.
Harder to program
1.
Watch for errors: truncation, overflow, rounding
v.
Limited dynamic range
vi.
Used in 95% of consumer products
floating point processors
i.
have larger accuracy
ii.
are much easier to prog
ram
iii.
can access larger memory
iv.
It is harder to create an efficient program in C on a fixed point
processors than on floating point processors
42.
What is code composer studio?
P
P
i
i
p
p
e
e
l
l
i
i
n
n
e
e
S
S
t
t
a
a
g
g
e
e
P
P
F
F
D
D
E
E
E
E
x
x
e
e
c
c
u
u
t
t
e
e
i
i
n
n
s
s
t
t
r
r
u
u
c
c
t
t
i
i
o
o
n
n
R
R
o
o
u
u
t
t
e
e
o
o
p
p
c
c
o
o
d
d
e
e
t
t
o
o
f
f
u
u
n
n
c
c
t
t
i
i
o
o
n
n
a
a
l
l
u
u
n
n
i
i
t
t
D
D
e
e
c
c
o
o
d
d
e
e
i
i
n
n
s
s
t
t
r
r
u
u
c
c
t
t
i
i
o
o
n
n
G
G
e
e
n
n
e
e
r
r
a
a
t
t
e
e
p
p
r
r
o
o
g
g
r
r
a
a
m
m
f
f
e
e
t
t
c
c
h
h
a
a
d
d
d
d
r
r
e
e
s
s
s
s
R
R
e
e
a
a
d
d
o
o
p
p
c
c
o
o
d
d
e
e
D
D
e
e
s
s
c
c
r
r
i
i
p
p
t
t
i
i
o
o
n
n
Floating Point
Fixed Point
A
pplications
•
䵯摥浳
•
䑩D楴a氠l畢獣物扥爠L楮e
䑓L)
•
W楲i汥獳⁂a獥瑡瑩潮
•
䑩D楴a氠I浡g楮g
•
㍄⁇牡灨
楣i
•
S灥ec栠hecog湩n楯i
•
噯楣e癥爠IP
䅰灬楣A瑩潮o
•
P潲瑡扬攠偲潤畣瑳
•
㉇Ⱐ㈮㕇湤″䜠䍥汬⁐桯湥s
•
䑩D楴a氠䅵摩漠l污ye牳
•
䑩D楴a氠l瑩汬⁃a浥mas
•
噯楣e⁒ecog湩n楯i
•
䡥a摳d瑳
•
F楮来i灲楮琠pecog湩n楯i
43.
Explain Von

Neumann and Harvard architectures
Von Neumann Architecture
:
Single memory shared by both the
program instructions and data
Harvard Architecture
:
Two separate memories, a program memory
(PM) for instructions, and a data memory (DM) for dat
a
44.
What
are L
ine

in, L
ine

out, Mic

in, Mic

out?
Reference:
Digital signal processing by Dr. Ganesh Rao & Vineeta P. Gejji.
Texas instruments materials.
Enter the password to open this PDF file:
File name:

File size:

Title:

Author:

Subject:

Keywords:

Creation Date:

Modification Date:

Creator:

PDF Producer:

PDF Version:

Page Count:

Preparing document for printing…
0%
Comments 0
Log in to post a comment