ee210 digital electronics class lecture 2 september 03, 2008
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EE210 Digital Electronics
Class Lecture 2
September 03, 2008
Sedra/SmithMicroelectronic Circuits 5/e
Oxford University Press
Introduction to Electronics
3
In This ClassWe Will Discuss Following Topics :
1.1 SignalsThévenin & Norton Theorem
(Append. C)1.2 Frequency Spectrum of Signals1.3 Analog and Digital Signals
1.1 Signals1.1 Signals Signals Contain Information To Extract Information Signals Need to be
PROCESSED in Some Predetermined Manner
Electronic System Process Signals Conveniently
Signal Must be an Electric Entity, V or I Transducers Convert Physical Signal into
Electric Signal
Two alternative representations of a signal source: (a) the Thévenin form, and (b) the Norton form.
vs (t) = Rs is(t)
Thévenin’s theorem.
Appendix CAppendix C
Norton’s Theorem
Thévenin & Norton
Points to Note: Two Representations are Equivalent Parameters are Related as:
vs (t) = Rs is(t)
Thévenin Preferred When Rs Low
Norton Preferred When Rs High
Apply Thévenin’s Theorem to Simplify A BJT Circuit
Example C.1
An arbitrary voltage signal vs(t).
Signal is a Quantity That Varies in Time.
Information is Contained in the Change in Magnitude as Time Progresses.
Difficult to Characterize Mathematically
1.2 Frequency Spectrum of Signals Signal (or Any Arb. Function of Time)
Characterization in Terms of Frequency Spectrum, using Fourier Series/Transform
FS and FT Help Represent Signal as Sum of Sine-wave Signals of Different Frequencies and Amplitudes
Use FS When Signal is Periodic in Time Use FT When Signal is Arbitrary in Time
Sine-wave voltage signal of amplitude Va and frequency f = 1/T Hz. The angular frequency ω = 2πf rad/s. Continued
Amplitude Va of Sine-wave Signal Commonly Expressed in RMS = Va / √2
Household 220 V is an RMS Value FS allows us to Express ANY Periodic
Function of Time as Sum of Infinite Number of Sinusoids Whose Frequencies are Harmonically Related, e.g., The Square-wave Signal in Next Slide.
Using FS Square-wave Signal can be Expressed as:
v(t) = 4V/π (sin ωot + 1/3 sin 3 ωot + 1/5 sin 5 ωot + …) with ωo = 2 π/ T is Fundamental Frequency
Sinusoidal Components Makeup Frequency Spectrum
• The Frequency Spectrum (Also Known As The Line Spectrum) Of The Previous Periodic Square Wave
• Note That Amplitude of Harmonics Progressively Decrease
• Infinite Series Can be Truncated for Approximation
FT can be Applied to Non-Periodic Functions of time, such as:
And Provides Frequency Spectrum as a Continuous Function of Frequency, Such As:
The Frequency Spectrum of Previous Arbitrary Non-periodic Waveform
Periodic Signals Consists of Discrete Freq.
Non-Periodic Signals Contains ALL Freq.
HOWEVER, …
Periodic
Non-Periodic
The Useful Parts of the Spectra of Practical Signals are Confined to Short Segments of Frequency, e.g., Audio Band is 20 Hz to 20kHz
In Summary, We can Represent A Signal : In Time-Domain va(t)
In Frequency-Domain Va(ω)
1.3 Analog and Digital Signals1.3 Analog and Digital Signals
This is an Analog Signal as it is Analogous to Physical Signal it Represents
Its Amplitude Continuously Varies Over Its Range of Activity
Digital Signal is Representation of the Analog Signal in Sequence of Numbers
Each Number Representing The Signal Magnitude at An Instant of Time
Let us Take the Analog Signal and Convert it To Digital Signal by SAMPLING
Sampling is a Process of Measuring The Magnitude of a Signal at an Instant of Time
Sampling The Continuous-time Analog Signal in (a) Results in The Discrete-time Signal in (b)
Original Signal is Now Only Defined at Sampling Instants – No More Continuous, Rather Discrete Time Signal, Still Analog as Mag. Is Cont.
If Magnitude of Each Sample is Represented by Finite Number of Digits Then Signal Amplitude will Also be Quantized, Discretized or Digitized
Then, Signal is Digital --- A Sequence of Numbers That Represent Mag. of Successive Signal Samples
The Choice of Number System to Represent Signal Samples Affects the Type of Digital Signal Produced and Also Affects the Complexity of Dig. Circuits
The BINARY Number System Results in Simplest Possible Signals and Circuits
In a Binary Number Digit is Either 0 or 1 Correspondingly, Two Voltage Levels (Low
or High) for Digital Signal Most Digital Circuits Have 0 V or 5V
• Time Variation of a Binary Digital Signal• Note That: Waveform is a Pulse Train with 0 V
Representing 0 or Logic 0 and 5V Rep. Logic 1
Binary Rep. of Analog SignalTo use N Binary Digits (bits) to Represent Each
Sample of The Analog Signal, the Digitized Sample Value Can be as:
D = b0 20 + b1 21 + b2 22 + … + bN-1 2N-1
Where,
b0 , b1 ,… bN-1 are N bits with value 0 or 1
b0 is LSB and bN-1 is MSB
Binary Number Written as: bN-1 bN-2 … b0
The Binary Rep (Cont…) Quantizes Analog Sample in 2N Levels Greater the Number of Bits (Larger N)
Closer the Digital Word D Approx. to the Magnitude of the Analog Sample
Large N Reduces the Quantization Error and Increases the Resolution of Analog-to-Digital Conversion (Increases Cost as Well)
Block-diagram Representation Of The Analog-to-
digital Converter (ADC) – A Building Block of Modern Electronic Systems
Once Signal is in Digital Form it Can be Processed by Digital Circuits
Digital Circuits also Process Signals which do Not Have Analog Origin, e.g., Signals Representing Digital Computer Instruction
As Digital Circuits Deal With Binary Signals Their Design is Simpler Than of Analog Circuits
While Digital Circuit Design has Its Own Challenges, It Provides Reliable and Economic Implementations of Many Signal Processing Functions not Possible With Analog Circuits
In Next ClassWe Will Continue to Discuss:
Chapter 1: Introduction to Electronics
Topics:
1.4 Amplifiers
1.7 Logic Inverters
1.8 Circuit Simulation Using SPICE
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