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Unit - IV - ADC-DAC

Apr 05, 2018

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    Block diagram showing Analog to Digital and Digital to Analog Converter

    UNIT IV ADC & DAC

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    Typical Examples:

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    Analog to Digital Conversion The advancement of VLSI technology led to the proliferation of digital

    integrated circuits and systems which perform intricate signal processing in

    the digital domain.

    Compared with analog signal processors, digital signal processors (DSPs)

    have numerous advantages.

    In digital systems, the signal is quantized into discrete levels, and a finite

    number of digital code-words are transmitted, most of the noise and

    interference added to the digital signal during processing or transmission

    can be removed.

    However, in analog systems any noise added to the signal is

    indistinguishable from it and hence cant be removed.

    Therefore, analog signal processing requires accurate components with

    precise tolerance.

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    However, digital signal processing can tolerate less precise components

    making digital signal processors less susceptible to temperature, ageing and

    manufacturing tolerances.

    Digital systems allow more intricate signal processing and offer more

    extensive programmability than analog systems.

    This necessitates the transformation of such signals from the analog domain

    to the digital domain to make use of the powerful computational processing

    power of the digital signal processors.

    The digital signal then has to be transformed back to the analog domain.

    This transformation is done by using analog-to-digital and digital-to-analogconverters.

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    Block Diagram-ADCThe low-pass filter, which is known as the anti-alias filter, band-limits the analog signal

    so as to prevent aliasing from occurring in the sampler.

    The sampler discretizes the signal in the time domain.

    This is then followed by the quantizer, which is a many-to-one transformer that maps a

    range of the continuous signal into a discrete level.

    The quantizer performs approximation to the analog signal by approximating it to one of

    a finite number of discrete levels.

    After being quantized, the coder maps each quantized level into a binary code- word.

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    Block Diagram-DAC In the digital-to-analog converter (DAC), the reverse operations to those of the analog-to-

    digital converter, transforms the binary code into a quantized signal level. The quantizer is a many to one transformer, i.e. it maps a range of the continuous signal into

    a discrete level, hence, it has no inverse equivalent in the digital-to-analog converter.

    Thus, any quantization noise added to the signal is stuck to it and cant be removed by the

    digital-to-analog converter.

    Finally, a low-pass filter converts the time-discrete (sampled) signal into a continuous

    analog signal.

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    Block diagram of Digital Communication System

    The signal to be transmitted is an analog signal, usually speech. This signal

    is digitized by an analog-to-digital converter.

    The digital signal is processed by a digital signal processor, that performs

    functions such as source encoding, channel encoding, time division

    multiplexing - for a TDMA system, and code spreading for a CDMA

    system.

    After digital processing the signal is converted back into the analog domain

    by a digital-to-analog converter.

    The converted analog signal can be at base band or at IF (Intermediate

    Frequency).

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    Further analog signal processing is performed on the analog signal by an

    analog signal processor.

    This processing includes, frequency up conversion to the RF band,

    filtering, and power amplification.

    The analog signal received at the receiver is processed by an analog signal

    processor that does low noise amplification, filtering, and frequency down

    conversion to IF or to base band.

    The signal is then digitized and processed by a digital signal processor that

    despreads, demultiplexes and decodes the signal.

    The digital signal is transformed back into the analog domain to get the

    received replica of the transmitted signal

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    Wireless Communication System Overview A wireless telecommunication system conveys information, such as voice,

    video or data from one location to another, by converting it into an electrical

    signal and eventually into an electromagnetic wave.

    At the transmitter side, a transducer converts the

    information signal (which could be a sound wave for example) into an electrical

    signal.

    The signal is then coded and modulated by the transmitter, eventually it is

    converted into an electromagnetic wave, and transmitted over a wireless

    channel to the receiver.

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    As the signal moves across the channel it suffers different types of impairments:

    1.Attenuation.

    2. Multi-path propagation.

    3. Shadowing.

    4. Doppler frequency shift.

    5. Noise.

    6. Interference (co-channel and adjacent channel).

    7. Nonlinear distortion.

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    Schematic of DAC

    DAC Types:

    1. Weighted Resistor type DAC

    2. R 2R Ladder type DAC

    3. Inverted R 2R Ladder type DAC

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    Weighted Resistor type DAC

    Transfer Characteristicsof a 3-bit DAC

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    Analysis:

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    R 2R Ladder type DAC

    Consider a 3-bit as:

    at node C :

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    R 2R Ladder type DAC forSwitch positions 001

    Equivalent circuit

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    Inverted R 2R Ladder type DAC

    Inverted R 2R Ladder type DAC showing division of current for digital input word 001

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    Start EOC

    ADCAnalog I/p DigitalVa O/p

    VR

    (Reference)

    Schematic of ADC

    ADC Types:1. Parallel Comparator (Flash) type ADC

    2. Counter type ADC3. Servo tracking type ADC4. Successive Approximation type ADC5. Dual Slope ADC

    Performance parameters of ADC:1. Resolution : 2n2. Quantization Error

    3. Conversion time4. Settling time

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    Parallel Comparator (Flash) type ADC

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    Comparator and its truth table:

    Truth table for a flash type ADC :

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    Counter type ADC

    D/A output staircasewaveform

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    Servo tracking type ADC

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    Successive Approximation type ADC:

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    CONVERSION PROCESS:

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    SINGLE SLOPE ADC:

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    Dual Slope type ADC

    Integrated output waveform for the

    Dual Slope type ADC

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    Parameters Flash type SA type Dual Slope

    Speed Fastest Fast Slow

    Accuracy Less Medium More

    Resolution Upto 28 Upto 216 216 (or)

    more

    I/p hold time Very less Depends on

    No. of bits

    Max.

    Cost Very Costly Medium Less

    Application High speed Fibre

    optic communication

    DSO,

    Imaging devices

    Data

    Acquisition

    Systems

    Not

    repeatedly

    used

    Comparison of ADC

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    Delta Modulation - DM

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    AdaptiveDelta Modulation - ADM

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    Voltage to Frequency Converter - VFC

    Wide sweep multi vibrator VFC

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    Charge balancing VFC

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    Voltage to Time Converter