lecture 2-done.pdf
TRANSCRIPT
-
8/13/2019 Lecture 2-Done.pdf
1/23
Remote Sensing LaboratoryDept. of Information Engineering and Computer Science
University of TrentoVia Sommarive, 14, I-38123 Povo, Trento, Italy
Remote Sensing LaboratoryDept. of Information Engineering and Computer Science
University of TrentoVia Sommarive, 14, I-38123 Povo, Trento, Italy
Begm Demir
Digital Signal Processing
Lecture 2
Digital Signal Processing
Lecture 2
E-mail: [email protected]
Web page: http://rslab.disi.unitn.it
-
8/13/2019 Lecture 2-Done.pdf
2/23
University of Trento, Italy
Discrete Time Signals
2B. Demir 2
A discrete time signal is a sequence of numbers
The length Nof the signal is the total number of samples in the sequence.
-
8/13/2019 Lecture 2-Done.pdf
3/23
University of Trento, Italy
Operations on Sequences
3B. Demir
Addition/Subtraction
x3[n]=x1[n]+x2[n] x4[n]=x1[n]-x2[n]
-
8/13/2019 Lecture 2-Done.pdf
4/23
University of Trento, Italy
Operations on Sequences
4B. Demir
Multiplication
How will you apply multiplication if the sizes are not the same?
x5[n]=x1[n]x2[n]
-
8/13/2019 Lecture 2-Done.pdf
5/23
University of Trento, Italy
Operations on Sequences
5B. Demir
Multiplication & Addition with constants
-
8/13/2019 Lecture 2-Done.pdf
6/23
University of Trento, Italy
Operations on Sequences
6B. Demir
Shifting y[n]=x[n-n0] If n0 >0time delay If n0
-
8/13/2019 Lecture 2-Done.pdf
7/23
University of Trento, Italy
Operations on Sequences
7B. Demir
Time Reverse: y[n]= x[-n]
-
8/13/2019 Lecture 2-Done.pdf
8/23
University of Trento, Italy 8B. Demir
[ ] is given below. Estimate [2 ] and [ / 2]x n x n x n
Signal compression
Signal stretching
Operations on Sequences
[ ] [ ]
[ ]
y n x n
ny n x
=
=
-
8/13/2019 Lecture 2-Done.pdf
9/23
University of Trento, Italy 9B. Demir
Linear Interpolation
-
8/13/2019 Lecture 2-Done.pdf
10/23
University of Trento, Italy
Elementary Digital Signals
10B. Demir
Unit Impulse (Digital Impulse, Discrete Time Impulse):
1 0[ ]
0 0
nn
n
==
1[ ]0
n mn mn m
= =
-
8/13/2019 Lecture 2-Done.pdf
11/23
University of Trento, Italy
Exercises
11B. Demir
Write the signals given below in terms of
if [ ] ( ) ( 1) ( 2) 4 ( 3) 5 ( 4)
[ 2] ?
x n n n n n n
x n
= + + + +
+ =
[ ]n
-
8/13/2019 Lecture 2-Done.pdf
12/23
University of Trento, Italy
Elementary Digital Signals
12B. Demir
Unit Step Sequence:
Unit Impulse and Unit Step Sequences are related as follows:
1 0[ ]
0 0
nu n
n
=
-
8/13/2019 Lecture 2-Done.pdf
13/23
University of Trento, Italy 13B. Demir
Exercises
-
8/13/2019 Lecture 2-Done.pdf
14/23
University of Trento, Italy
Elementary Digital Signals
14B. Demir
Real exponential sequence:
[ ] nx n a=[ ] nx n a=
-
8/13/2019 Lecture 2-Done.pdf
15/23
University of Trento, Italy
Elementary Digital Signals
15B. Demir
Real exponential sequence:
( ) nx n a=( ) nx n a=
-
8/13/2019 Lecture 2-Done.pdf
16/23
University of Trento, Italy
Elementary Digital Signals
16B. Demir
Sinusoidal sequence:
[ ] cos( )x n A n = +[ ] cos( )x n A n = + cos( ) 2
sin( )2
j n j n
j n j n
e en
e en
j
+
=
=
-
8/13/2019 Lecture 2-Done.pdf
17/23
University of Trento, Italy
Elementary Digital Signals
17B. Demir
Complex exponential sequence:
[ ] j nx n e =[ ] j n
x n e = ( )1,j
z re r n = = = ( )1,jz re r n = = =
-
8/13/2019 Lecture 2-Done.pdf
18/23
University of Trento, Italy
Elementary Digital Signals
18B. Demir
Complex exponential sequence:
-
8/13/2019 Lecture 2-Done.pdf
19/23
University of Trento, Italy
Properties of Sinusoidal/Complex Signals
19B. Demir
-
8/13/2019 Lecture 2-Done.pdf
20/23
University of Trento, Italy
Properties of Sinusoidal Signals
20B. Demir
[ ] )cos()2(cos nnr =+
-
8/13/2019 Lecture 2-Done.pdf
21/23
-
8/13/2019 Lecture 2-Done.pdf
22/23
University of Trento, Italy
Examples
22B. Demir
[ ]
[ ] 4 / 7
Is cos periodic?
11
Is 5 periodic?j n
x n n
x n e
=
=
-
8/13/2019 Lecture 2-Done.pdf
23/23
University of Trento, Italy
Examples
23B. Demir
Let us assume that we have 3 sinusoidal signals x1[n], x2[n] and x3[n] thatare periodic with N1, N2 and N3, respectively. The signal x4[n] given belowis periodic?
[ ] [ ] [ ] [ ]
[ ]
4 1 2 3
4
;
is periodic?
x n ax n bx n cx n
x n
= + +
4 1 2 3( , , )N LCM N N N=