prof. k radhakrishna rao lecture 1 introduction to sensors, signals

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Analog Circuits and Systems Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals and Systems 1

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Page 1: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

Analog Circuits and Systems

Prof. K Radhakrishna Rao

Lecture 1 Introduction to Sensors, Signals and Systems

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Page 2: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

Some present day popular electronic products

o  Cell phone

o  Television

o  Music system

o  Radio

o  Computers

o  Watches and clocks

o  Camera

o  Medical instruments

o  Printer

o  ATM

o  Home appliances

o  Lighting

o  Security systems

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Page 3: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

Electronic products: Sense and process signals (ECG)

o Sense, process, present o display audio output record oscilloscope and

o preserve processed signals o Storage in memory

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Page 4: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

Electronic products: Store information

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Page 5: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

Electronics Products: Output processed information in audio and or video form

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Page 6: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

Electronics Products: Activate/control devices using processed information

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Page 7: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

Electronics Products: Transmit and receive information

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Page 8: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

Electronic products

�  Primary function is processing signals/data

Signals o  Anything that carries

information is a signal ◦  Speech ◦  music ◦  scenery ◦  chirping of birds ◦  gestures

o  chemical signals that control body functions

o  Electronic products deal with electrical signals which are voltages and currents

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Page 9: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

Electronic products

Signals from real world o  Electrical signals are derived from the real world through

transducers which convert a physical or chemical variable into an electrical signal

o  Transducers produce analog signals which are continuous functions of independent variables

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Page 10: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

Strain Gage Bridge

¢ Vo+ = ((R+DR)/ 2R)Vexc

¢ Vo- = ((R-DR)/ 2R)Vexc ¢ Output Difference Signal =

(DR/R)Vexc, Output Common Mode Signal = Vexc/2

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Page 11: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

Some Transducers

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Page 12: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

Nature of Signals: Periodic Analog Signals

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Page 13: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

Problem

o  Place your finger at the input terminal of an oscilloscope. What do you see?

o  Ans: 50Hz/60Hz power line frequency signal.

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Page 14: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

Problem

o  A periodic waveform is shown o  Estimate the frequency and the harmonic content of the waveform.

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Page 15: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

Solution

0.1sin100 0.05sin300t tπ π+

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Page 16: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

Aperiodic Signals

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Page 17: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

Problem

o  What can you say about the nature of the signal shown:

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Page 18: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

Spectrum and Bandwidth

o  Spectrum is the distribution power as a function of frequency o  Analog signals are characterized by their spectra. o  The frequency range over which most of the signal power is

concentrated is called the bandwidth of the signal.

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Page 19: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

Spectra

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Page 20: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

Spectra

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Page 21: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

Problem

o  Draw the spectrum of the following signal

( )( )5 sin1000 sin10000v t t=

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Page 22: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

Solution

( ) ( )sin sincos cos

2

A BA B A B− − +

=

Spectrum

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Page 23: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

Characteristics of some signals

o  Speech signal has a band width of 300 Hz – 3 kHz o  Video signal has a bandwidth of 25 Hz - 5 MHz to 100 MHz o  HiFi music has a bandwidth of 20 – 30 kHz o  ECG 0.04 to 150 Hz

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Page 24: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

Baseband Signal

o  Some baseband signals of interest are biomedical, audio and video signals

o  Baseband signals cannot be transmitted directly over long distances o  Output from a transducer is used to modulate a carrier for

transmission over long distances

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Page 25: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

Noise

o  Noise is unwanted electrical or electromagnetic energy that interferes with wanted signal 

o  When we measure ECG signal using electrodes, they also pick up the noise at 50/60 Hz

o  When the ambient audience created noise is picked up by the microphone in a music performance

o  Internal noise generated by the electronic components of the electronic circuit performing signal processing function

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Page 26: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

ECG Signal and 50/60Hz Noise

Noise dominating the signal

Narrow Band

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Page 27: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

Signal with Noise

Signal dominating the Noise

Narrow Band

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Page 28: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

Signal and Noise

o  A signal is always contaminated by noise o  The unwanted noise will have to be suppressed (filtering) or

reduced (cancellation) o  Wanted signal may be strengthened with respect to noise

(amplification) o  Improvement of signal-to-noise (S/N) ratio (SNR) is one of the

purposes of signal processing SNR = 10 log (signal power/noise power) decibels

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Page 29: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

Signal Processing

o  Using a megaphone to communicate with a crowd (amplification) o  Eliminating or reducing the ambient noise (filtering, and noise

cancellation and subtraction) o  Selecting a radio station (selection) filtering (bandpass) o  Smoke signal, Morse code, drum beats (coding/modulation, A/D

conversion/ multiplication) o  Reading smoke signals and message sent by Morse Code

(Demodulation/Digital to Analog Conversion/ multiplication)

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Page 30: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

Analog signal processing

o  Amplification of microphone output o  Filtering 50 Hz interference from power line in ECG signal o  Modulating a carrier with an audio signal (multiplication) o  Storing music on a magnetic tape – as against this in digital it is

stored in memory

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Page 31: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

Why digital signal processing?

o  Complexity and accuracy can be greatly improved if signals are processed in their digital coded form

o  DSP leads to great reduction in cost, size, reliability and efficiency o  Analog signals are encoded into digital form using analog-to-digital

converter o  Powerful digital signal processing (DSP) devices are currently

available

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Page 32: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

Analog Circuits and Systems

Design of analog circuits and systems requires performing: o  signal processing functions including, amplification, addition,

subtraction, integration, comparison, filtering and multiplication o  signal generation o  interfacing including sample and hold, A/D conversion and D/A

conversion o  power supply management

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Page 33: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

Aim of the Course

The aim of the course ‘Analog Circuits and Systems’ is to design analog circuits and systems that perform signal processing functions, and signal generation using the devices including Op-Amps, amplifiers, multipliers and comparators.

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Page 34: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

Course Outcomes CO1 Understand the characteristics of linear one-port and two-port

signal processing networks CO2 Model one-port devices including R, L, C and diodes, two-port

networks, and active devices including amplifiers, Op Amps, comparators, multipliers, BJTs and FETs

CO3 Understand how negative and positive feedback influence the behaviour of analog circuits

CO4 Design VCVS, CCVS, VCCS, CCCS, and DC and SMPS voltage regulators

CO5 Design analog filters CO6 Design waveform generators, phase followers and frequency

followers

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Page 35: Prof. K Radhakrishna Rao Lecture 1 Introduction to Sensors, Signals

References

1.  Applications of Operational Amplifiers: Third Generation Techniques (The BB electronics series); Jerald G. Graeme (Author); Mcgraw-Hill (Tx); First Edition 1973 https://archive.org/details/ApplicationsOfOperationalAmplifiers-3rdGenerationTechniques

2.  Operational Amplifiers: Theory and Practice; James J Roberge; John Wiley & Sons; 1st Edition http://ocw.mit.edu/resources/res-6-010-electronic-feedback-systems-spring-2013/textbook/

3.  Function circuits: design and applications; Yu Jen Wong, William E. Ott; McGraw-Hill, 1976

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