SlideShare a Scribd company logo
Operations on
Continuous-Time SignalsContinuous-Time Signals
David W. Graham
EE 327
Continuous-Time Signals
• Continuous-Time Signals
– Time is a continuous variable
– The signal itself need not be continuous
2
• We will look at several common
continuous-time signals and also
operations that may be performed on them
Unit Step Function u(t)
( )



<
≥
=
00
01
t
t
tu
t
1
3

•Used to characterize systems
•We will use u(t) to illustrate the properties of continuous-time signals
t
0
Operations of CT Signals
1. Time Reversal y(t) = x(-t)
2. Time Shifting y(t) = x(t-td)
3. Amplitude Scaling y(t) = Bx(t)
4
4. Addition y(t) = x1(t) + x2(t)
5. Multiplication y(t) = x1(t)x2(t)
6. Time Scaling y(t) = x(at)
1. Time Reversal
• Flips the signal about the y axis
• y(t) = x(-t)
ex. Let x(t) = u(t), and perform time reversal
5
Solution: Find y(t) = u(-t)
Let “a” be the argument of the step function u(a)
( )



<
≥
=
00
01
a
a
au
Let a = -t, and plug in this value of “a”
( )



>
≤
=−
00
01
t
t
tu
t
1
0
2. Time Shifting / Delay
• y(t) = x(t – td)
• Shifts the signal left or right
• Shifts the origin of the signal to td
6
• Rule Set (t – td) = 0 (set the argument equal
to zero)
Then move the origin of x(t) to td
• Effectively, y(t) equals what x(t) was td seconds
ago
2. Time Shifting / Delay
ex. Sketch y(t) = u(t – 2)
Method 1
Let “a” be the argument of “u”
( ) 


 ≥
=
≥−
=
 ≥
=
2102101 tta
ay
7
( )




<
=
<−
=


<
=
2002000 tta
ay
t
1
0
1 2
Method 2 (by inspection)
Simply shift the origin to td = 2
3. Amplitude Scaling
• Multiply the entire signal by a constant value
• y(t) = Bx(t)
ex. Sketch y(t) = 5u(t)
8
t
5
0
4. Addition of Signals
• Point-by-point addition of multiple signals
• Move from left to right (or vice versa), and add
the value of each signal together to achieve the
final signal
• y(t) = x (t) + x (t)
9
• y(t) = x1(t) + x2(t)
• Graphical solution
– Plot each individual portion of the signal (break into
parts)
– Add the signals point by point
4. Addition of Signals
ex. Sketch y(t) = u(t) – u(t – 2)
First, plot each of the portions of this signal separately
•x1(t) = u(t) Simply a step signal
•x2(t) = –u(t-2) Delayed step signal, multiplied by -1
10
t
1
1 2
-1
x1(t) = u(t)
x2(t) = -u(t - 2)
Then, move from one side to
the other, and add their
instantaneous values
t
1
0
1 2
y(t)
5. Multiplication of Signals
• Point-by-point multiplication of the values
of each signal
• y(t) = x1(t)x2(t)
11
• Graphical solution
– Plot each individual portion of the signal
(break into parts)
– Multiply the signals point by point
5. Multiplication of Signals
ex. Sketch y(t) = u(t)·u(t – 2)
First, plot each of the portions of this signal separately
•x1(t) = u(t) Simply a step signal
•x2(t) = u(t-2) Delayed step signal
12
t
1
1 2
x1(t) = u(t)
x2(t) = -u(t - 2)
Then, move from one side to
the other, and multiply
instantaneous values
t
1
1 2
y(t)
6. Time Scaling
• Speed up or slow down a signal
• Multiply the time in the argument by a
constant
• y(t) = x(at)
13
• y(t) = x(at)
|a| > 1 Speed up x(t) by a factor of “a”
|a| < 1 Slow down x(t) by a factor of “a”
• Key Replace all instances of “t” with “at”
6. Time Scaling
ex. Let x(t) = u(t) – u(t – 2)
Sketch y(t) = x(2t)
1
x(t)
First, plot x(t)
Replace all t’s with 2t
14
t1 2
y(t) = x(2t) = u(2t) – u(2t – 2)
Turns on at
2t ≥ 0
t ≥ 0
No change
Turns on at
2t - 2 ≥ 0
t ≥ 1
t
1
1 2
y(t)
This has effectively “sped up” x(t) by a factor of 2
(What occurred at t=2 now occurs at t=2/2=1)
6. Time Scaling
ex. Let x(t) = u(t) – u(t – 2)
Sketch y(t) = x(t/2)
1
x(t)
First, plot x(t)
Replace all t’s with t/2
15
t1 2
y(t) = x(t/2) = u(t/2) – u((t/2) – 2)
Turns on at
t/2 ≥ 0
t ≥ 0
No change
Turns on at
t/2 - 2 ≥ 0
t ≥ 4
This has effectively “slowed down” x(t) by a factor of 2
(What occurred at t=1 now occurs at t=2)
t
1
1 2
y(t)
3 4
Combinations of Operations
• Combinations of operations on signals
– Easier to Determine the final signal in stages
– Create intermediary signals in which one
operation is performed
16
operation is performed
ex. Time Scale and Time Shift
Let x(t) = u(t + 2) – u(t – 4)
Sketch y(t) = x(2t – 2)
t
1
1 2
x(t)
3 4-1-2
Can perform either operation first
Method 1 Shift then scale
17
Method 1 Shift then scale
Let v(t) = x(t – b) Time shifted version of x(t)
Then y(t) = v(at) = x(at – b)
Replace “t” with the argument of “v”
Match up “a” and “b” to what is given in the
problem statement
at – b = 2t – 2
(Match powers of t)
a = 2
b = 2
Therefore, shift by 2,
then scale by 2
t
1
1 2
v(t) = x(t - 2)
3 4 5 6
t
1
1 2
y(t) = v(2t) = x(2t - 2)
3 4 5 6
ex. Time Scale and Time Shift
Let x(t) = u(t + 2) – u(t – 4)
Sketch y(t) = x(2t – 2)
t
1
1 2
x(t)
3 4-1-2
Can perform either operation first
Method 2 Scale then shift
18
Method 2 Scale then shift
Let v(t) = x(at) Time scaled version of x(t)
Then y(t) = v(t – b) = x(a(t – b)) = x(at – ab)
Replace “t” with the argument of “v”
Match up “a” and “b” to what is given in the
problem statement
at – ab = 2t – 2
(Match powers of t)
a = 2
ab = 2, b = 1
Therefore, scale by
2, then shift by 1
t
1
1 2
v(t) = x(2t)
3 4-1-2
t
1
1 2
y(t) = v(t - 1) = x(2(t - 1))
x(2t - 2)
3 4-1-2
ex. Time Scale and Time Shift
• Note – The results are the same
• Note – The value of b in Method 2 is a
scaled version of the time delay
– t = 2
19
– td = 2
– Time scale factor = 2
– New scale factor = 2/2 = 1

More Related Content

PPTX
ADDITTIVE WHITE GAUSIAN NOIS ( AWGN)
PPT
Frequency modulation
PDF
Lecture123
PDF
DSP_2018_FOEHU - Lec 03 - Discrete-Time Signals and Systems
PPTX
Signals and Systems 1.pptx
PDF
Digital Signal Processing[ECEG-3171]-Ch1_L02
PPTX
Lecture Notes: EEEC6440315 Communication Systems - Inter Symbol Interference...
PPTX
High pass-low-pass-filter
ADDITTIVE WHITE GAUSIAN NOIS ( AWGN)
Frequency modulation
Lecture123
DSP_2018_FOEHU - Lec 03 - Discrete-Time Signals and Systems
Signals and Systems 1.pptx
Digital Signal Processing[ECEG-3171]-Ch1_L02
Lecture Notes: EEEC6440315 Communication Systems - Inter Symbol Interference...
High pass-low-pass-filter

What's hot (20)

PPTX
Unit 1 Operation on signals
PDF
Chapter4 - The Continuous-Time Fourier Transform
PPT
Decimation in time and frequency
PPTX
4. operations of signals
PPTX
Lecture No:1 Signals & Systems
PPT
Sns slide 1 2011
PDF
DSP_FOEHU - Lec 05 - Frequency-Domain Representation of Discrete Time Signals
PDF
Dcs lec03 - z-analysis of discrete time control systems
PDF
3.Properties of signals
PDF
Lti system
PDF
Dsp U Lec05 The Z Transform
PPTX
Delta modulation
PPTX
Chebyshev filter
PPT
Antenna arrays
PDF
Lecture 5: The Convolution Sum
PPTX
Fourier Series for Continuous Time & Discrete Time Signals
PPT
Chapter 5
PDF
Dcs unit 2
PPT
Signal & systems
PPT
Lecture 14 modulacion digital parte 2
Unit 1 Operation on signals
Chapter4 - The Continuous-Time Fourier Transform
Decimation in time and frequency
4. operations of signals
Lecture No:1 Signals & Systems
Sns slide 1 2011
DSP_FOEHU - Lec 05 - Frequency-Domain Representation of Discrete Time Signals
Dcs lec03 - z-analysis of discrete time control systems
3.Properties of signals
Lti system
Dsp U Lec05 The Z Transform
Delta modulation
Chebyshev filter
Antenna arrays
Lecture 5: The Convolution Sum
Fourier Series for Continuous Time & Discrete Time Signals
Chapter 5
Dcs unit 2
Signal & systems
Lecture 14 modulacion digital parte 2
Ad

Viewers also liked (20)

PDF
SIGNAL OPERATIONS
PPT
OPERATIONS ON SIGNALS
PPT
Signal classification of signal
PPT
Lecture3 Signal and Systems
PPT
Signals and classification
PPTX
Types of system
PPT
PDF
Example of the Laplace Transform
PDF
signal and system Lecture 1
PDF
PPT
communication system Chapter 3
PPT
Laplace transform
PDF
Circuit Network Analysis - [Chapter4] Laplace Transform
PPT
Lecture2 Signal and Systems
PDF
Signals and systems
PPTX
Chapter 2 Laplace Transform
PPT
Laplace transforms
PPTX
Laplace transform and its applications
PPT
Laplace transform
PDF
Signals and Systems Notes
SIGNAL OPERATIONS
OPERATIONS ON SIGNALS
Signal classification of signal
Lecture3 Signal and Systems
Signals and classification
Types of system
Example of the Laplace Transform
signal and system Lecture 1
communication system Chapter 3
Laplace transform
Circuit Network Analysis - [Chapter4] Laplace Transform
Lecture2 Signal and Systems
Signals and systems
Chapter 2 Laplace Transform
Laplace transforms
Laplace transform and its applications
Laplace transform
Signals and Systems Notes
Ad

Similar to Ct signal operations (20)

PPTX
UNIT 1_Basic Signal and Sequences Operations.pptx
PPTX
Operation on signals - Independent variables
PPTX
Signal & System
PPTX
signals and systems_isooperations.pptx
PPT
Es400 fall 2012_lecuture_2_transformation_of_continuous_time_signal.pptx
PDF
Eeb317 principles of telecoms 2015
PPT
Signal and system (Classifications of systems)
PDF
Asp unit 1.pdf
PPTX
01-Fundamental Concepts of Signals and Systems.pptx
PPTX
Chapter-I Classification of Signals and Systems.pptx
PPTX
Operations on Continuous time Signals.
PPTX
PPT Chapter-1-V1.pptx__26715_1_1539251776000.pptx.pptx
PPTX
Operations on Continuous Time Signals
PDF
Signal and System, CT Signal DT Signal, Signal Processing(amplitude and time ...
PPTX
Lecture 2_Signals and Systems
PDF
Note 0
DOCX
Introduction to signals and systems Operations on it
PPTX
SP_BEE2143_C1.pptx
PDF
Dsp Lab Record
PDF
1625460777717_Lecturer 1 Signals & Systems (1).pdf
UNIT 1_Basic Signal and Sequences Operations.pptx
Operation on signals - Independent variables
Signal & System
signals and systems_isooperations.pptx
Es400 fall 2012_lecuture_2_transformation_of_continuous_time_signal.pptx
Eeb317 principles of telecoms 2015
Signal and system (Classifications of systems)
Asp unit 1.pdf
01-Fundamental Concepts of Signals and Systems.pptx
Chapter-I Classification of Signals and Systems.pptx
Operations on Continuous time Signals.
PPT Chapter-1-V1.pptx__26715_1_1539251776000.pptx.pptx
Operations on Continuous Time Signals
Signal and System, CT Signal DT Signal, Signal Processing(amplitude and time ...
Lecture 2_Signals and Systems
Note 0
Introduction to signals and systems Operations on it
SP_BEE2143_C1.pptx
Dsp Lab Record
1625460777717_Lecturer 1 Signals & Systems (1).pdf

More from mihir jain (12)

PPT
Schering bridge
PPT
signal & system inverse z-transform
PPT
Pump theory
PPT
euler's theorem
PPT
Ozone layer
PPTX
Maths-double integrals
PPT
inverse z-transform ppt
PPT
PPT
KARNAUGH MAP(K-MAP)
PPT
SPECIAL PURPOSE DIODE
POT
2 port network
PPTX
Advance engineering mathematics
Schering bridge
signal & system inverse z-transform
Pump theory
euler's theorem
Ozone layer
Maths-double integrals
inverse z-transform ppt
KARNAUGH MAP(K-MAP)
SPECIAL PURPOSE DIODE
2 port network
Advance engineering mathematics

Recently uploaded (20)

PPT
Occupational Health and Safety Management System
PPTX
6ME3A-Unit-II-Sensors and Actuators_Handouts.pptx
PDF
Enhancing Cyber Defense Against Zero-Day Attacks using Ensemble Neural Networks
PPT
A5_DistSysCh1.ppt_INTRODUCTION TO DISTRIBUTED SYSTEMS
PDF
UNIT no 1 INTRODUCTION TO DBMS NOTES.pdf
PDF
null (2) bgfbg bfgb bfgb fbfg bfbgf b.pdf
PDF
Integrating Fractal Dimension and Time Series Analysis for Optimized Hyperspe...
PDF
SMART SIGNAL TIMING FOR URBAN INTERSECTIONS USING REAL-TIME VEHICLE DETECTI...
PDF
Automation-in-Manufacturing-Chapter-Introduction.pdf
PPT
Total quality management ppt for engineering students
PPTX
Current and future trends in Computer Vision.pptx
PPTX
Fundamentals of Mechanical Engineering.pptx
PDF
Level 2 – IBM Data and AI Fundamentals (1)_v1.1.PDF
PPTX
CURRICULAM DESIGN engineering FOR CSE 2025.pptx
PDF
Abrasive, erosive and cavitation wear.pdf
PDF
PPT on Performance Review to get promotions
PDF
COURSE DESCRIPTOR OF SURVEYING R24 SYLLABUS
PDF
BIO-INSPIRED HORMONAL MODULATION AND ADAPTIVE ORCHESTRATION IN S-AI-GPT
PDF
Mitigating Risks through Effective Management for Enhancing Organizational Pe...
PDF
Visual Aids for Exploratory Data Analysis.pdf
Occupational Health and Safety Management System
6ME3A-Unit-II-Sensors and Actuators_Handouts.pptx
Enhancing Cyber Defense Against Zero-Day Attacks using Ensemble Neural Networks
A5_DistSysCh1.ppt_INTRODUCTION TO DISTRIBUTED SYSTEMS
UNIT no 1 INTRODUCTION TO DBMS NOTES.pdf
null (2) bgfbg bfgb bfgb fbfg bfbgf b.pdf
Integrating Fractal Dimension and Time Series Analysis for Optimized Hyperspe...
SMART SIGNAL TIMING FOR URBAN INTERSECTIONS USING REAL-TIME VEHICLE DETECTI...
Automation-in-Manufacturing-Chapter-Introduction.pdf
Total quality management ppt for engineering students
Current and future trends in Computer Vision.pptx
Fundamentals of Mechanical Engineering.pptx
Level 2 – IBM Data and AI Fundamentals (1)_v1.1.PDF
CURRICULAM DESIGN engineering FOR CSE 2025.pptx
Abrasive, erosive and cavitation wear.pdf
PPT on Performance Review to get promotions
COURSE DESCRIPTOR OF SURVEYING R24 SYLLABUS
BIO-INSPIRED HORMONAL MODULATION AND ADAPTIVE ORCHESTRATION IN S-AI-GPT
Mitigating Risks through Effective Management for Enhancing Organizational Pe...
Visual Aids for Exploratory Data Analysis.pdf

Ct signal operations

  • 2. Continuous-Time Signals • Continuous-Time Signals – Time is a continuous variable – The signal itself need not be continuous 2 • We will look at several common continuous-time signals and also operations that may be performed on them
  • 3. Unit Step Function u(t) ( )    < ≥ = 00 01 t t tu t 1 3  •Used to characterize systems •We will use u(t) to illustrate the properties of continuous-time signals t 0
  • 4. Operations of CT Signals 1. Time Reversal y(t) = x(-t) 2. Time Shifting y(t) = x(t-td) 3. Amplitude Scaling y(t) = Bx(t) 4 4. Addition y(t) = x1(t) + x2(t) 5. Multiplication y(t) = x1(t)x2(t) 6. Time Scaling y(t) = x(at)
  • 5. 1. Time Reversal • Flips the signal about the y axis • y(t) = x(-t) ex. Let x(t) = u(t), and perform time reversal 5 Solution: Find y(t) = u(-t) Let “a” be the argument of the step function u(a) ( )    < ≥ = 00 01 a a au Let a = -t, and plug in this value of “a” ( )    > ≤ =− 00 01 t t tu t 1 0
  • 6. 2. Time Shifting / Delay • y(t) = x(t – td) • Shifts the signal left or right • Shifts the origin of the signal to td 6 • Rule Set (t – td) = 0 (set the argument equal to zero) Then move the origin of x(t) to td • Effectively, y(t) equals what x(t) was td seconds ago
  • 7. 2. Time Shifting / Delay ex. Sketch y(t) = u(t – 2) Method 1 Let “a” be the argument of “u” ( )     ≥ = ≥− =  ≥ = 2102101 tta ay 7 ( )     < = <− =   < = 2002000 tta ay t 1 0 1 2 Method 2 (by inspection) Simply shift the origin to td = 2
  • 8. 3. Amplitude Scaling • Multiply the entire signal by a constant value • y(t) = Bx(t) ex. Sketch y(t) = 5u(t) 8 t 5 0
  • 9. 4. Addition of Signals • Point-by-point addition of multiple signals • Move from left to right (or vice versa), and add the value of each signal together to achieve the final signal • y(t) = x (t) + x (t) 9 • y(t) = x1(t) + x2(t) • Graphical solution – Plot each individual portion of the signal (break into parts) – Add the signals point by point
  • 10. 4. Addition of Signals ex. Sketch y(t) = u(t) – u(t – 2) First, plot each of the portions of this signal separately •x1(t) = u(t) Simply a step signal •x2(t) = –u(t-2) Delayed step signal, multiplied by -1 10 t 1 1 2 -1 x1(t) = u(t) x2(t) = -u(t - 2) Then, move from one side to the other, and add their instantaneous values t 1 0 1 2 y(t)
  • 11. 5. Multiplication of Signals • Point-by-point multiplication of the values of each signal • y(t) = x1(t)x2(t) 11 • Graphical solution – Plot each individual portion of the signal (break into parts) – Multiply the signals point by point
  • 12. 5. Multiplication of Signals ex. Sketch y(t) = u(t)·u(t – 2) First, plot each of the portions of this signal separately •x1(t) = u(t) Simply a step signal •x2(t) = u(t-2) Delayed step signal 12 t 1 1 2 x1(t) = u(t) x2(t) = -u(t - 2) Then, move from one side to the other, and multiply instantaneous values t 1 1 2 y(t)
  • 13. 6. Time Scaling • Speed up or slow down a signal • Multiply the time in the argument by a constant • y(t) = x(at) 13 • y(t) = x(at) |a| > 1 Speed up x(t) by a factor of “a” |a| < 1 Slow down x(t) by a factor of “a” • Key Replace all instances of “t” with “at”
  • 14. 6. Time Scaling ex. Let x(t) = u(t) – u(t – 2) Sketch y(t) = x(2t) 1 x(t) First, plot x(t) Replace all t’s with 2t 14 t1 2 y(t) = x(2t) = u(2t) – u(2t – 2) Turns on at 2t ≥ 0 t ≥ 0 No change Turns on at 2t - 2 ≥ 0 t ≥ 1 t 1 1 2 y(t) This has effectively “sped up” x(t) by a factor of 2 (What occurred at t=2 now occurs at t=2/2=1)
  • 15. 6. Time Scaling ex. Let x(t) = u(t) – u(t – 2) Sketch y(t) = x(t/2) 1 x(t) First, plot x(t) Replace all t’s with t/2 15 t1 2 y(t) = x(t/2) = u(t/2) – u((t/2) – 2) Turns on at t/2 ≥ 0 t ≥ 0 No change Turns on at t/2 - 2 ≥ 0 t ≥ 4 This has effectively “slowed down” x(t) by a factor of 2 (What occurred at t=1 now occurs at t=2) t 1 1 2 y(t) 3 4
  • 16. Combinations of Operations • Combinations of operations on signals – Easier to Determine the final signal in stages – Create intermediary signals in which one operation is performed 16 operation is performed
  • 17. ex. Time Scale and Time Shift Let x(t) = u(t + 2) – u(t – 4) Sketch y(t) = x(2t – 2) t 1 1 2 x(t) 3 4-1-2 Can perform either operation first Method 1 Shift then scale 17 Method 1 Shift then scale Let v(t) = x(t – b) Time shifted version of x(t) Then y(t) = v(at) = x(at – b) Replace “t” with the argument of “v” Match up “a” and “b” to what is given in the problem statement at – b = 2t – 2 (Match powers of t) a = 2 b = 2 Therefore, shift by 2, then scale by 2 t 1 1 2 v(t) = x(t - 2) 3 4 5 6 t 1 1 2 y(t) = v(2t) = x(2t - 2) 3 4 5 6
  • 18. ex. Time Scale and Time Shift Let x(t) = u(t + 2) – u(t – 4) Sketch y(t) = x(2t – 2) t 1 1 2 x(t) 3 4-1-2 Can perform either operation first Method 2 Scale then shift 18 Method 2 Scale then shift Let v(t) = x(at) Time scaled version of x(t) Then y(t) = v(t – b) = x(a(t – b)) = x(at – ab) Replace “t” with the argument of “v” Match up “a” and “b” to what is given in the problem statement at – ab = 2t – 2 (Match powers of t) a = 2 ab = 2, b = 1 Therefore, scale by 2, then shift by 1 t 1 1 2 v(t) = x(2t) 3 4-1-2 t 1 1 2 y(t) = v(t - 1) = x(2(t - 1)) x(2t - 2) 3 4-1-2
  • 19. ex. Time Scale and Time Shift • Note – The results are the same • Note – The value of b in Method 2 is a scaled version of the time delay – t = 2 19 – td = 2 – Time scale factor = 2 – New scale factor = 2/2 = 1