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Electronic Systems - A1 23/04/2009
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ELECTRONIC SYSTEMS
A – INTRODUCTION
A.1 – Organization and contents
» Goals and organization
» Systems and modules
» Analog and digital signals
» Benefits of digital electronics
Politecnico di Torino - ICT school
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INDUSTRIALENGINEERING
DIGITAL ELECTRONICS
MATH, INFORMATICS, PHYSICS, CIRCUITS, .. Basic concepts,
functions, signals, ….
Courses in Electronics
ELECTRONIC SYSTEMS
ELECTRONIC DEVICES
ANALOG ELECTRONICS
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Goals of the “Electronics” courses
• Electronic systems– Basic concepts and techniques.
» Systems as a set of functional units, defined by external parameters (models),
» Use of feedback
» Analog and digital signals and circuits: benefits and drawbacks
» Interfaces and power handling» Examples of applications
• Unique course in electronics for industrial engineers– What can be done with electronics
• First of a sequence for ICT engineers– Applications and design in the following
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Course content
• Electronic systems• Sensors and actuators• Bode plots• Amplification• Control and feedback• Operational amplifiers• Semiconductors and diodes• Field-effect and bipolar transistors• Power electronics
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What you should already know
• Circuit theory– RLC networks with controlled sources, Laplace transform (s)
• Mathematics– Linear equation systems, Differential equations (order I)
• Informatics – Boolean algebra, logic operators
• Physics – Basic mechanics, electric and magnetic fields
• Signal theory– Frequency domain analysis (qualitative)
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Content of this lesson (A1)
• Course goals• Course organization• Exams • Prerequisites• Why “Electronic systems”• An example of system• Function and structure• Signals in the time and frequency domains• Analog and digital signals• Benefits of digital electronic systems
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Course goals
• Develop skills, competencies, and abilities to:
– Translate the application requirements into specifications» how the specific application can be built as an electronic
system
– Design at the system level» functional characteristics, external behavior of modules
» interface among modules
– Design at the circuit level» internal structure of modules
» design flow of modules
» error analysis
– Experimental verification of circuits behavior
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Grouping of course contents
• A Introduction
• B Transducers and amplifiers
• C Operational amplifiers and feedback
• D Electronic devices
• E Logic circuits
• F Processing systems
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Module organization
• Room lessons and exercises– every week:
» 2+2+2+2 h lesson/exercise, or
» 2+2+2 h lesson/exercise +3 h laboratory (to be confirmed)
• Total load (planned)– 15 lessons x 2h 30 + 60 (homework)
– 5 exercises x 2h 10 + 10
– 5 labs x 3h 15 + 8
– total hours 55 78
– 55 room_hours + 78 self-study_hours = 133/27 ≈ 5 credits
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Learning resources – book
• Reference textbook:– Neil Storey
– Electronics: A Systems Approach
– Prentice Hall, 2006, ISBN-13:9780131293960
• student resources– http://wps.pearsoned.co.uk/ema_uk_he_storey_electronic_3/
42/10999/2815814.cw/index.html
– Solved exercises
– Self-evaluation tests
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Learning resources - website
• Course website:– http://ulisse.polito.it/matdid/
3ing_eln_L1740_TO_0/ETLCEnTO/index.htm
– Copies of slides
– Solved exercises, Examples of written tests, …
• FTP site: exchange of reports, homework, ..
• Other suitable textbooks– R.C. Jaeger, T.N. Blalock: Microelectronics
McGraw Hill, 2004
– J. Millman, A. Grabel: Microelectronics (II ed.), McGraw Hill/Boringhieri
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Learning resources in italian
• Course website (same course held in Torino):– http://ulisse.polito.it/matdid/
3ing_eln_L1740_TO_0/ETLCEnTO/index.htm
• Texbook (in italian):– Zappa: Fondamenti di Elettronica (II ed.), Esculapio, 2002
– Zamboni, Graziano: Introduzione all'analisi dei SistemiElettronici, CLUT, 2006 (collection of exercises)
• Distance learning course:– http://corsiadistanza.polito.it/on-line/Sistemi_ele/index2.htm
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Examples and tests
• Examples (during the lesson)– Simple problems, fully solved
• End-of-lesson tests (slide at the end of each lesson)– Test to verify understanding of basis issues, or
– Summary of lesson contents
• Room tests (sessions of exercises)– Statement of a problem
– Sequence of questions
– Require aggregation of contents from several lessons
• Samples of solved written tests (course website)
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Test goals
• Faults must be identified as soon as possible– Before delivery to final customer
– “missed learning” must be corrected before exam
• Goal of tests (self evaluation)– Find quickly “missed learning”
• Goals of exercises – Apply theory to new cases
• An Engineer will carry out design, not exams, but …– To become engineers you have (also) to pass exams
– To pass exams you must be able (also) to solve exercises
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Laboratory experiences: why ?
• Engineering: maths & realworld � models + experiments
• The course includes lab experiments, aimed to– Verify models towards real cases
– Verify correctness of design procedures
– Practice teamworking & communication
• Manuals and guides in the website
• Needs homework– Preliminary workplan, role definition, design, simulations
– Report writing (will be evaluated)
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Exam procedures
• Detailed document “Exams” in the website
• Final mark F– F = 0,8 S + 0,2 L + [miniproject], + [lesson notes prize]
• S: Exam (written exercise + oral discussion)– End of course: single question, about 15’
– Other times: shorter exercise + 30’ oral discussion
• L: lab reports– Unique mark for the whole group
– Penalties for missed experiments
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Cooperation and team-working
• The engineer never works alone: organization and cooperation are part of real work environments
– Lab exercises aim also to exploit cooperation in the workplace: carrying out the experience and writing the report are collective responsibility of the working group.
– Only with proper preliminary organization and task assignment among the people in the group the experiment can be completed in the available time.
– Learn to cooperate effectively and organize your work
– Better to set-up mixed skill & language teams
• the cooperation principle does not apply to exams
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Exam supplement
• A cell-free course
• Each ring � mandatory homework (required to pass the exam)
– Radiation levels of cell phones, comparison with regulations
– Structure and operation of silent bells (vibracall)
– …
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Content of this lesson (A1)
• Course goals• Course organization• Exams • Prerequisites• Why “Electronic systems”• An example of system• Function and structure• Signals in the time and frequency domains• Analog and digital signals• Benefits of digital electronic systems
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Storey, Electronics: A Systems Approach, 3rd Edition © Pearson Education Limited 20061.20
Electronic systems
� A system can be defined asAny closed volume for which all theinputs and output are known.
� Examples include:– an automotive system– an air conditioner.
� Inputs and outputs will reflect the nature of the system.
1.2
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Systems and modules
• Any electronic system is composed by interconnected modules.
MODULE
MODULE
INTERCONNECTIONS
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?
??
Why do we start from systems ?
• Most designers use modules and functional units designed and/or built by other people.
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Functional units
• To use functional units, one should know the external behavior, not the internal structure.
– What the module does ?» FUNCTION
– How much power is needed ?» POWER SUPPLY
– How is information exchanged with other units ?
» SIGNALS
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What is a “signal” ?
• In electronic systems information is carried byelectric quantities
– Voltages, current
– Frequency, pulse width
– …..
• Information is associated to changes of these quantities:
– Signal
– Any electrical variable with an associated information
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Role of the engineer
• Real-world systems are complex– We need methods to analyze and design them
• The engineer can divide a complex problem in a set of smaller ones � each “small” problem is solvable
• Need to know decomposition and description techniques
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Function and structure
• The system can be described in terms of – Function:� what should the system do� which are interactions (with external world)
– Structure� how the system is built� how can we design and build it
• Described by – Block diagrams
– Object-relations
– Use case
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The sample system
• Example of (low complexity) system:
Air conditioner
– Uses a variety of functional units
– Interface to various sensors and actuators
– A good set of samples for electronic applications
• Steps – Functional definition
– Structure (block diagram)
– Analysis of some functional units
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Functional specification
• What should the system do?– Keep constant temperature in a defined area
• Detailed operations– Measure the air temperature in two positions T1 and T2
– Evaluate a weighted average T = W1 T1 + W2 T2
– Compare with the reference temperature
– Evaluate if heating or cooling is required
– Turn-on heater or cooler
– Activate fan
– Show actual temperature on a LCD display
– ……
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Block diagram / use cases
• Which are the elementary units?– Thermometers
– Heater
– Cooler
– Processing
– User interface (display + knobs/keys)
• How they interact internally and with external world?– Temperature measurements
– Set target, display current temperature
– Turn ON/OFF power devices (cooler, heater)
– Activate fan
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Block diagram and structure
• How is the system built?
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Input sensors
• Temperature measurements– External: air
– Internal: » Refrigerator unit» Motors
• From temperature to voltage (or current)– Temperature sensors, defined by
» Input range,
» Precision» O(I); if linear: gain
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ELECTRONIC SYSTEM
Generic system structure
• Most signal processing used digital circuits– Signals must be converted from analog to digital, than again
to analog:» ANALOG/DIGITAL (A/D) conversion
» DIGITAL/ANALOG (D/A) conversion
DIGITALSYSTEM
A/D D/A
ANALOG SIGNALS
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Signal conversion
• External world: analog• Internal processing: digital
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Output actuators
• Refrigerator motor (ON/OFF)
• Fan (speed control)
• Air flow direction (position control)
• All these are Actuators
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Motor control: functions
• What should a motor control do?
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Motor control: block diagram
• How can we build a motor control system?
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Motor control: electric diagram
• Which are elementary devices, and how are they connected?
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Motor control: device datasheet
• Which are the features of commercial devices used?
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Why do we start from “systems” ?
• To use functional units, one should know the external behavior, not the internal structure.
– What the module does ?» FUNCTION
– How much power is needed ?» POWER SUPPLY
– How is information exchanged with other units ?
» SIGNALS
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• Signals (carry information)• Power supply (carry energy)
• The power is distributed as DC voltage (Vsu).
Vsu
GND
INFOIN
INFOOUT
Where does power come from ?
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The power supply system
• Goal: distribute power with– Low heating
– Low pollution (batteries !)
– High efficiency
• Functional units – Mains power supply, batteries, …
– Voltage regulators, battery chargers
– Power handling units
• A complex subsystem
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Content of this lesson (A1)
• Course goals• Course organization• Exams • Prerequisites• Why “Electronic systems”• An example of system• Function and structure• Signals in the time and frequency domains• Analog and digital signals• Benefits of digital electronic systems
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Why do we start from “systems” ?
• To use functional units, one should know the external behavior, not the internal structure.
– What the module does ?» FUNCTION
– How much power is needed ?» POWER SUPPLY
– How is information exchanged with other units ?
» SIGNALS
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Various types of signals
• Analog/digital• High/low/very low level
– Mike vs loudspeaker
• Frequency range– Audio vs RF
• Waveform – Sinewave, squarewave
• Information encoding– Cell phones
– Digital TV
• …
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Signals in the air conditioner
• Input– Temperature
– User setting
• Output– Refrigerator power
– Fan power
– Setting display
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Low frequency signals
• In the circuits handling temperature and position the information changes very slowly: low frequency signals
• Example: sine signal (tone):– v(t) = V sin (ωt + φ)
– V = peak value (volt, V)
– ω = angular frequency (radians/second), (frequency f = ω/2π, hertz, Hz)
– φ = phase (radians, rad)
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Analog signals
• audio
• Triangular wave
• temperature
tempo frequenza
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Radiofrequency signal
• The remote control circuit uses high frequency signals Radio Frequency (RF), around 800 MHz.
– Needs special amplifiers and wiring (coax cables).
• Example: RF carrier at 800 MHz
– Time domain
– Frequency domain
t
1,2 ns
f
800 MHz
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Time domain representation
A signal can be represented in the time domain ….
X axis: time
Y axis:amplitude
instrument: oscilloscope
t = 0
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Frequency domain representation
…. or in the frequency domain:
asse X: frequenza
Y axis:amplitude
Instrument: spectrum analyzer
f = 0
fundamental
II harmonic
III harmonic
noise
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Time-frequency relation
• Quick changes of the signal corresponds to high frequency components
time frequencyF = 0
bandwidth
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Signal spectrum
• Periodic/not periodic» Spectrum with lines (∆F = 1/T) / continuous spectrum
• Limited in the time domain (from t = T1 to t = T2)» Unlimited bandwidth (from f = 0 to f = ∞)
• Limited bandwidth (from fA to fB)» Unlimited in the time domain (from t = -∞ to t = + ∞)
• Steep changes» high frequency components
• Actual signals» ~limited in time & frequency (few power out T1-T2 and F1-F2)
• Spectrum simulator for various waveforms: material � simulator and SW � signal spectrum
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Analog signals
• Analog signals are continuous– in the time domain: is defined for any time instant (within an
assigned interval 0, T)
– in the amplitude domain: can assume any value (within an assigned interval 0, S)
• Parameters:– Amplitude interval
» max and min values (dynamic range),
» DC component (if any)
– Spectral content» bandwidth, spectrum shape t
AS
0
0 T
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Digital signals
• A digital signal is a sequence of numbers, in most cases binary (base 2)
– Discrete in the time domain: defined only at sometime instant (within a defined interval)
– Discrete in the amplitude domain: can assume only some values(within a defined interval)
8 bits, 28 = 256 values
t1
t2
t3
t4
t5
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Storey, Electronics: A Systems Approach, 3rd Edition © Pearson Education Limited 20061.55
� Discrete signals are often described as digital signals.
� Many digital signals take only two values and are referred to as binary signals.
Representation of digital signals
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Where do we find digital signals ?
• Most evident– Computers and information processing systems
• Most electronic systems contain digital parts– Audio and video equipment
– Cellular and cordless phones
• Embedded electronic systems– Cars
– Planes
– White goods
– …
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Errors with digital representation
• Values defined only at discrete times � Sampling– Sampling interval Ts, sampling rate Fs = 1/Ts
– Can represent signals with bandwidth Fa < Fs/2 (Nyquist-Shannon theorem)
» example: Fs = 20 kHz, Fa < 10 kHz
• Finite number of values � Quantization– N bit : 2N values, therefore
– Quantization error εQ = 100/2N % = 1M/2N PPM» example: 28 = 256 εQ = 0,4 %
• Simulator of quantization effects on Ulisse website at: learning material � simulators and SW � quantization
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Binary signals representation
• Time evolution of a binary signal is represented by a bit sequence:
– Two state symbols 1/0, or H/L
– Defined at Ts intervals (samples)
Ts
valueH
L
time
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Ts
H
L
Timing diagrams
• States are represented by different voltage levels» High state � H, 1, ... → 3 V
» Low state � L, 0, ... → 0,5 V
• The sequence of states becomes a timing diagram, similar to analog signals representation
value
timeH L H H L1 0 1 1 0
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Noise and disturbance
All signals include a variable amount of random noise
the noise does not carry useful information
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Storey, Electronics: A Systems Approach, 3rd Edition © Pearson Education Limited 20061.61
Distortion
� All systems distort electricalsignal to some extent– examples include clipping,
crossover distortion andharmonic distortion.
� Distortion is systematicand is repeatable.
1.3
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Storey, Electronics: A Systems Approach, 3rd Edition © Pearson Education Limited 20061.62
� All systems also add noiseto the signals that pass through them.
� Unlike distortion, noise israndom and not repeatable.
� Noise cannot be removed from analog signals
� With proper techniques, noise can be removedfrom digital signals.
Noise
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Analog signal degradation
• Any processing or amplification step adds noise.
• For an analog signal the noise represents a not recoverable information loss.
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Digital signal degradation
• In a digital signal degradation caused by noise can be recovered, if limited within defined boundaries.
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Digital signal level restore
Thanks to amplitude discretization of digital signals, the levels can be restored to original values by comparison with a threshold
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Digital signal recovery
• Digital signal can be recovered at regular intervals– Effects of noise do not cumulate
• Recovery allows to use long digital processing chains, to carry out complex operation
– Not possible with analog technique, due to noise cumulative effects
• To avoid information loss– Noise must be limited
– Signal must be periodically rebuilt.
• Simulator of noise effects on Ulisse website: material � simulator and SW � segnale analogico/digitale con rumore
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Towards external world
• Physical interfaces (transducers and actuators) handle in most cases analog signals
• The Electronic system uses analog signal to interact with the external world
ELECTRONICSYSTEM
ANALOG SIGNALS
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A/D/A sequence
• Today electronics is mainly digital– signals must be translated from analog to digital, and then
from digital to analog:» ANALOG/DIGITAL (A/D) conversion
» DIGITAL/ANALOG (D/A) conversion
ELECTRONIC SYSTEM
NUMERICSYSTEM
A/D D/A
ANALOG SIGNALS
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ELETTRONICSYSTEM
Analog ���� Digital ���� Analog
• Most part of electronic systems includes:– interfaces towards the analog external world (front-end)
– A/D conversion
– Numeric signal handling
– D/A conversion
– interfaces towards the analog external world (back-end)
ADC
Numeric system DAC
Actuators and analog
back-end
Sensors and analog
front-en
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Changes in electronic systems
• Electronics systems are moving towards digital
A/D
Numericsystem
D/A Actuat
Sens
A/D
Numeric system
Actuators and analog back-end
Sensors and analog
front-end
timeD/A
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Electronics is going towards digital
• Only digital techniques allow complex processing– They do not cumulate noise
– Digital integrated circuit have higher complexity then analog ones
• Automatic tools for design and testing of digital ICs are available
– Digital ICs have lower cost
• The behavior of a digital circuit can be easily modified
– Software
– Programmable logic circuits
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Limits of digital
• Intrinsic errors caused by– Amplitude quantization
(errors related with bit number N),
– Time sampling(errors related with sampling rate).
• Digital variable are represented using analog signals (V, I, …)
– High speed digital signals requires analog techniques
• Some signals can be only analog (RF, …)– The boundary is continuously moving
(over ~1000 MHz almost everything is analog)
Electronic Systems - A1 23/04/2009
2008 DDC - 2006 Storey 73Page 73
23/04/2009 - 73 ElnSysA1 - 2008 DDC
Lesson A1 – final test
• Develop an example of functional (what does) and structural (how is built) descriptions for a system.
• The mains voltage (220V, 50 Hz) can be considered a signal?
• Which part of the spectrum use temperature signals?
• How many values can be represented with 8 bits?
• How are usually represented logic states?
• Describe the benefits of analog signals and systems
• Do all electronic systems have some analog part ?