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Signals & Systems
Department of ECE
Dr. Ajay Kumar Yadav, Assistant Professor
01 Course outcomes
02 Text book
03 NPTEL course on the subject
04 Introduction to Signals & Systems
05 What is signals? What is system?
Agenda / Contents
C. V. Raman Global University, Odisha
03-01-2024 1
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Course Outcomes (CO)
• After completion of the course you will be able to:
• CO1: Identify different signals and systems and state their properties
for both continuous and discrete domain.
• CO2: Apply the concept of impulse response and perform convolution
in both continuous and discrete domain, to analyze the LTI systems.
• CO3: Perform the spectral analysis of signals using Fourier transform
and Fourier series methods.
03-01-2024 3
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Course Outcomes (CO)
• CO4: Analyze discrete-time signals and determine the stability
criterion of LTI system using Z-transform.
• CO5: Demonstrate the mathematical skills to solve problems
involving sampling, filtering, and reconstructing of signals.
03-01-2024 4
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Brief Syllabus
• Unit-1: Introduction:
what is signal, what is system, classification of signals, operations on
signals, Energy of signals, properties of systems.
• Unit-2: Analysis of Signals and systems:
Convolution sum, convolution integral, interconnection of systems,
impulse response, difference equation, Applications
FS, FT, DTFS, DTFT, Properties of FT, Applications
03-01-2024 5
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Brief Syllabus
• Unit-3: Laplace-Transform:
Introduction LT, Properties of LT, properties of Laplace-transform,
ROC, causality and stability, Applications
• Unit-4: Z-Transform
Introduction, the Z-transform, properties of Z-transform, ROC,
causality and stability, Applications
03-01-2024 6
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Brief Syllabus
• Unit-5: Sampling & Reconstruction of Signals
The sampling theorem, Reconstruction of a signal from its samples,
Aliasing and its effect, discrete time processing of continuous time
signals, Quantization of signals, quantization error.
03-01-2024 7
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Text Books
03-01-2024 8
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Text Books
03-01-2024 9
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NPTEL Course
• NPTEL: (Dr. Kushal Shah,IISER Bhopal)
• https://nptel.ac.in/courses/108/106/108106163/
• YouTube Lecture:
• https://www.youtube.com/playlist?list=PLyqSpQzTE6M8KJ-XQ1m2vl3nd2ZUqKEN8
03-01-2024 10
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Assignment Rubrics
Excellent (8-10) Good (5-7) Need
Improvement (<5)
Problem Solving  Approach is correct
 Equations are correct.
 End results are correct.
 Approach is correct
 Equations are correct
 End results are incorrect
 Approach is correct
 Equations are incorrect
 End results are incorrect.
Mathematical
Analysis
 Derivation steps are
correct
 Formulation is correct.
 Derivation steps are
partially correct.
 Formulation is incorrect.
 Derivation steps are
incorrect
 Formulation is incorrect.
Conceptual Clarity  Sufficient to solve the
complex problem.
 Justification with exact
explanation.
 Partially correct to solve
the complex problem.
 Justification with exact
explanation.
 No exact idea to solve the
complex problem
 Justification is imperfect
03-01-2024 11
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What is a Signal?
• “Signal is formally defined as a function of one or more variables that conveys
information on the nature of a physical phenomenon” (Simon Haykin)
• Examples of signals:
• human speech
• an email
• ECG
• weather forecast
• stock market index
• satellite images of the earth
• a space probe etc.
• The list of what constitutes a signal is endless.
03-01-2024 12
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One Dimensional (1-D) Signal
• “Signal is formally defined as a function of one or more variables that conveys
information on the nature of a physical phenomenon” (Simon Haykin)
• When the function depends on a single variable, the signal is called one
dimensional (1-D)
• Example: speech signal (amplitude varies with time, based on words spoken, or who speaks
it)
03-01-2024 13
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Example: 1-D signal
03-01-2024 14
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Multi-dimensional Signal
• “Signal is formally defined as a function of one or more variables that conveys
information on the nature of a physical phenomenon” (Simon Haykin)
• When the function depends on two or more variables, the signal is called
multidimensional.
• Example: image is a 2-D signal (horizontal and vertical coordinates are the two dimensions)
03-01-2024 15
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Example: 2-D signal
03-01-2024 16
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What is a System?
• “System is formally defined as an entity that manipulates one or more
signals to accomplish a function, thereby yielding new signals”
(Simon Haykin)
03-01-2024 17
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What is a System?
• There is always a system associated with the generation of a signal
• Ex, speech signal is generated by- Lips, Tongue, vocal cord etc.
• These constitute a system that generates speech
• And another system associated with the extraction of information
from the signal
• Processing of speech signal: ears, auditory pathways in the brain
• These are another kind of systems
• In this case, the systems are biological in nature
03-01-2024 18
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What is a System?
• These systems could also be implemented using electronic systems
that try to mimic the biological systems
• Ex, automatic speech recognition system
• Used to process speech signal to recognize words or phases
03-01-2024 19
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Important Applications
Communication system:
• There are three basic elements to each communication system-
transmitter, channel, and receiver.
• Each of these elements may be viewed as a system with associated
signal of its own.
03-01-2024 20
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Important Applications
Control system:
• The control of physical systems is wide spread in our industrial society
• Aircraft autopilot
• Automobile engines
• Paper mills
• Nuclear reactors
• Power plants
• Robots etc.
03-01-2024 21
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Important Applications
Micro-electro-mechanical systems (MEMS):
• These systems merge mechanical systems with microelectronic
control circuits on a silicon chip
• Results in smaller, more powerful, less noisy new generation “smart”
sensors and actuators
• Having broad range of applications in healthcare, biotechnology,
automotive, and navigation systems
03-01-2024 22
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Important Applications
Remote sensing:
• It is the process of acquiring information about an object of interest
without being physically in contact with it
• The acquisition of information can be performed by active or passive
manner
• Active: by sending signal and then processing the received echo
• Passive: by processing the signal that is naturally emitted by the
object
03-01-2024 23
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Important Applications
Biomedical Signal Processing:
• Goal is to extract information from a biological signal
• Helps us diagnose and treatment of a medical condition
• ECG: gives condition of heart functioning
• EEG: brain waves for various applications like epilepsy
03-01-2024 24
Thank You
E C E
w w w . c g u - o d i s h a . e d u . i n
Dr. A K Yadav, Assistant Professor

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ntroduction of Signal such as sinosoidal signals, definition of signals