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Electronic Systems

ENGG1015

1st Semester, 2010

Dr. Hayden Kwok-Hay So

Department of Electrical and Electronic Engineering

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Introduction

  Recall that ENGG1015 is about a hybrid top- down introduction to EEE

Today:

  A brief detour to the bottom

H

L time

1 semester

ENGG1015:

Hybrid

Today

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Course Topics

Applications Systems

Digital Logic

Circuits

Electrical Signals

High Level

Low Level

•  Computer & Embedded Systems

•  Computer Network

•  Mobile Network

•  Image & Video Processing

•  Combinational Logic

•  Boolean Algebra

•  Basic Circuit Theory

•  Voltage, Current

•  Power & Energy

Today

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Electronic Systems

  All electronic/electrical systems must ultimately be dealing with the physical world:

•  Temperature of the air,

•  Time,

•  Light,

•  Sound,

•  Human movement…

  Hierarchy (the use of sub-system), might hide that fact, but the all systems do interact with the physical world

Process Output Input

Physical World

Physical World

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System Components - Input

  Convert physical quantities into internal quantities that are easy to manage

  In EEE, it usually means converting a physical quantity into electrical signals, such as voltage (V), current (I), resistance (R), etc…

  Examples

•  A microphone translates movement of air in the form of air pressure into voltage

•  A light sensor translate light intensity (lumens) into resistance

•  A thermistor translates temperature into resistance

Input

Physical World

•  Voltage (V)

•  Current (I)

•  Resistance (R)

•  Capacitance, Inductance…

•  Sound

•  Temperature

•  Light

•  Pressure

•  …

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System Components - Output

  Convert internal quantities that are easy to manage into physical quantities that interact with the

physical world

  Examples

•  A speaker translates voltage values (V) into movement of air in the form of air pressure that generate sound

•  A light bulb that turns current values (I) into light

•  A motor that drives a wheel to spin

•  A solenoid that generates a pulling force on a shaft

Output Physical World

•  Voltage (V)

•  Current (I)

•  Resistance (R)

•  Capacitance, Inductance…

•  Sound

•  Temperature

•  Light

•  Pressure

•  …

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System Components - Processing

  Performs the intended function of the system.

  Examples

•  Amplifies the electrical signal from a microphone

•  Control the power of the motor of a fan depending on input voltage

  Slightly more complex example:

•  Mixes the voltage input from two different microphones, amplifies the signal, and control the voltage that will

drive a signal indicator and output speaker

Process

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Top-Level System Subsys B

Complex Systems (1)

  Decompose a system into multiple sub-systems

•  Each sub-systems can be decomposed into more sub- systems

•  A top-down approach

  Compose larger systems by connecting smaller sub- systems

•  Each composed system can be used to compose even bigger systems

•  A bottom-up approach

  The organization of sub-systems form a hierarchy

Subsystem A

Subsys Subsys C

B-2 Subsys

B-1

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Complex Systems (2)

  Engineers usually represent each sub-system as a block, forming block diagrams.

  The boundary of each sub-system is somewhat arbitrary

•  Up to the engineering team

  But the key is to have a clean and well-defined interface

Top-Level System Subsys B Subsystem A

Subsys Subsys C

B-2 Subsys

B-1

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Analog and Digital

  In electronic systems, the processing and transfer of a signal can broadly classified as analog or

digital in nature.

•  Possible to mix-and-match

  An analog system processes signals with continuous values

•  e.g. Temperature is now 23.132948123… °C

  A digital system processes signals with discrete values

•  e.g. The time now is 9:32am, temperature is 24 °C

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Analog Systems

  An analog electronic system processes signals with continuous values

  Usually processes in continuous time as well

•  Some sub-systems work with continuous values in discrete time

  The exact value of the signal matters

  No approximation needed

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Analog Systems - Pros

  Most physical quantities are continuous in nature:

•  e.g. temperature, time, humidity, pressure

  The fundamental electronic quantities are also continuous in nature:

•  Voltage, Current, Resistance

  Analog processing is the most “natural” way of processing information from the physical world

  Fastest way to process any signal

Output

Process

V V

sound wave

Sound wave

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Analog Systems - Cons

  Since exact value of a signal is needed, any

degradation of signal will be reflected at the output.

Examples:

  Interference, sometimes called noise, from outside the system:

•  Radio frequency interference (RFI)

  Noise within the system:

•  Electric component’s behavior changes due to temperature change

•  Thermo noise in circuits

  Non-ideal electronic components

•  A resistor’s true value is never what it is designed

•  Degradation of components over time

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Analog Systems – Cons (cont’d)

  Very difficult to store any exact value, in continuous time

  Difficult to process signals based on previous values

•  Echo cancellation

•  Reverb

  Difficult to transport signals because signals degrades over any medium of transfer,

especially in long distances

•  Old TV systems suffer from “ghost images”

•  Radio station not received well…

  Note: it is difficult, not impossible in above

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Digital Systems

  A digital electronic system processes signals with discrete values in discrete time

  The exact values of the input signal at discrete point in time are quantized into discrete values

•  e.g. all values are stored as integers only

•  24.5990010101 °C  25 °C

•  The process of obtaining data at discrete time or space is called sampling.

•  More on sampling & quantization later

  The continuous values of the input signals represented by a series of finite number of discrete values.

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Digital Processing Systems

Process Output Input

Physical World

Physical World

Analog Systems

Digital

Systems ADC DAC

3, 5, 6, 7… 7.2, 6.1, 4.8, 3.14…

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Digital Systems – Pros

  Discrete values are easy to store, transport

•  No degradation over time & space

  Easy to process “back-in-time”

•  Knowing the past make predicting the future a lot easier

  Enable very powerful and complicated processing of input

•  e.g. complex logic, encryption, compression, etc

  Immune to a lot more interferences from inside and outside of the system than an analog system

•  E.g. RFI, circuit noise, non-idealistic circuits and degradation over time

•  Note: you can still interfere a digital system with enough power

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Digital Systems – Cons

  The actual value of the physical phenomenon is lost

•  Garbage in garbage out

  Relatively slower than analog systems in standard circuit implementations

•  Competing with speed-of-light in analog systems

•  Recall electricity is an effect of electro-magnetic wave, which travels at speed of light.

  Q: Do you loose the information between sampling point?

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Quick Summary Quiz

  Consider an analog and a digital system, which of them is better in:

•  processing the exact value of a physical phenomenon?

•  processing the exact value of a physical phenomenon 1 day after the phenomenon has happened?

•  producing the exact same result in two different occasions?

  Which one is better?

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Tutorials

  Tutorials will start next Monday and will repeat on Wednesday with same

content

  You may attend either class A or class B’s tutorial session

  First tutorial’s topic: review on circuits

•  Extremely useful for your project

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Pre-Project Lab

  2-4 pm Monday to Friday @ LG205 CYC building

  Starts next week

  Compulsory

  Graded

  Mon, Wed, Thu, Fri: 36 students per session

  Tue: 20 students per session

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Pre-Project Lab Signup

  Need to sign up for the lab session that you intend to join

  Signup link active starting 1pm Friday, Sep 10 for 24 hours

•  Will be posted on course website

  Optional group signup

•  If you have already found your partners for project, signup to the SAME session

  Project group will be formed within the lab session

  Need login/password from EEE CSG for signup

•  If you have not received it already, send email to [email protected]

•  Or visit Rm 804, CYC building

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Input Stage: ADC

Physical World

Physical World

Digital Systems

ADC DAC

3, 5, 6, 7… 7.2, 6.1, 4.8, 3.14…

Input Process Output

Input Process Output

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Input Stage: ADC

Physical World

Physical World

Digital Systems

ADC DAC

3, 5, 6, 7… 7.2, 6.1, 4.8, 3.14…

Process Output

Input

ADC

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Analog to Digital Conversion

  The process of converting analog

information into digital representation is referred as analog to digital conversion

•  The circuit that performs the conversion is called an analog to digital convertor (ADC).

  The reverse process is called digital to analog conversion, using a digital to analog convertor (DAC).

  Today: We’ll look at how to build a 1-bit ADC circuit

•  Review of basic circuit design

•  Extremely useful for project

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1-bit ADC

  Recall that an ADC converts (quantizes) an analog signal into digital representation

  An 1-bit ADC quantizes the analog input into a two possible outcomes

•  hot VS cold

•  analog signal is presented VS not presented

•  input voltage is higher than certain value VS otherwise.

• 

  Use a single binary bit to represent 2 values

  In other word, an 1-bit ADC makes a binary decision about the analog input.

vin ADC out

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1-bit ADC: logical design

  Essentially, an 1-bit ADC is a comparator

•  Compares to a built in threshold

•  Compares to a outside input value

  An electronic ADC implements this concept using electronic circuits

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1-bit ADC (cont’d)

  In the simplest case, an 1-bit ADC can be thought as a thresholding circuit,

•  If the input voltage is higher than a built-in threshold vt, then the output is “1”, otherwise the output is “0”.

  In a slightly more elaborated design, an 1-bit ADC can be implemented as a comparator circuit that compares the value of the ADC input vin to another reference input (vref).

vin

vref out

vin out

out = “1” if vin > vt out = “1” if vin > vref

Threshold Comparator

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Peeling an ADC onion

  Note that what we have done so far was indeed gradually unveiling the inner details of an ADC

  From the abstract concept of analog-to-digital conversion, we are moving downward to unveil more implementation details with the underlying circuits

•  A thresholding or comparator circuit vin ADC out 1 layer

down

vin

vref out

ADC

What are those “1”s and “0”s?

Next:

“1” or “0”

“1” or “0”

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I/O Characteristics of 1-bit ADC

1

0 0 1 0 1 0 1 0

time vin

vref out

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Implementing Logic Levels

  The “0”s and “1”s in previous slides are merely symbols to represent two logical states

•  e.g. the value 1/0, high/low, on/off, true/false, hot/

cold…

  In actual circuit implementations, these “0”s and “1”s are represented by the voltage

(potential) presented at the output.

•  NOTE: There are other circuit implementations that uses current at the output node to represent

“0”s and “1”s, but we will focus in voltage here.

  What voltage should be used to represent “1”

and what voltage to represent “0”?

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Logic Families

Image source: http://www.interfacebus.com/voltage_LV_threshold.html

  There are industrial

standards on the voltage levels for representing

logic levels in discrete

components.

  Sometimes

referred as I/O standards.

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Own standard?

  You can have your “own standard” when you build your own circuit, e.g.:

•  digital VLSI designs

•  e.g. 3.3V, 2.5V, 1.5V, 1.2V…

•  Your class project

•  e.g. 12V

  Usually uses the maximum allowable voltage as “1”, and minimum allowable voltage as “0”

  Customary to label the max voltage as Vcc or Vdd

  Minimum allowable voltage usually is 0 volt (not

“0”).

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Realistic Circuit I/O 1-bit ADC

1

0 0 1 0 1 0 1 0

time vin

vref out

0 3.3

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Real Circuits

1

0 0 1 0 1 0 1 0

time vin

vref out

0 3.3

References

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