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Quantization

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Title: Quantization


1
Quantization
  • Prof. Siripong Potisuk

2
A Block Diagram of a DSP System
3
Analog-to-Digital Conversion (ADC)
  • Discretize the independent variable or time of an
    analog signal (Sampling)
  • Discretize the dependent variable or amplitude of
    an analog signal by rounding off to the nearest
    integer (Quantization)
  • Each quantization level represented using binary
    encoding scheme (Encoding)
  • Flash, Successive approximation, Sigma-delta

4
A Typical ADC Process
The process of converting analog voltage with
infinite precision to finite precision is called
the quantization process.
5
Analog-to-Digital Conversion (ADC)
6
Quantizer Input-output Characteristics
  • Similar to passing a discrete-time signal through
    a piecewise constant staircase type function
  • 2 types mid-tread and mid-rise

7
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8
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9
Quantization Level
  • Suppose the value of xn ranges over the
    interval xmin, xmax. The spacing between
    adjacent quantization level or step size (ADC
    resolution) is
  • L of quantization levels
  • N of binary bits used to represent the value
    of xn
  • The resulting quantization level, xq , is
  • i is an index corresponding to the binary code

10
Example
  • A speech signal has a maximum frequency of 4
    kHz. We want to digitize it and send it in a file
    using 2 bytes (i.e., 16 bits) per sample. What
    would be the minimum length of the file occupied
    by the signal for each minute of recording?
    Assume the signal is not compressed.

11
Quantization Error
  • Also known as quantization noise
  • Modeled as a random variable uniformly
    distributed over the interval -D/2, D/2 with
    probability density p(eq) 1/D.
  • The average power of the quantization noise is

12
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13
Example 2.9 2.10 (text)
Assuming that a 3-bit ADC accepts an analog input
ranging from 0 to 5 volts, determine (a) the
number of quantization levels (b) the step size
or resolution of the quantizer (c) the
quantization level corresponding to the
analog value of 3.2 volts (d) the binary code
produced by the encoder. (e) the quantization
error corresponding to the 3.2-V analog
input.
14
Problem 2.27 (text)
Assuming that a 3-bit ADC accepts an analog input
ranging from -2.5 to 2.5 volts, determine (a)
the number of quantization levels (b) the step
size or resolution of the quantizer (c) the
quantization level corresponding to the
analog value of -1.2 volts (d) the binary code
produced by the encoder. (e) the quantization
error corresponding to the analog input.
15
Example
  • Suppose the amplitude of a discrete-time
    signal xn is constrained to lie in the interval
    -10, 10. If the average power of the
    quantization noise is to be less than 0.001, what
    is the minimum number of bits that are needed to
    represent the value of xn?

16
Signal-to-quantization Noise Ratio (SNRq)
  • A figure of merit expressed in terms of the ratio
    between signal power and the quantization noise
    power
  • Usually expressed in decibels (dB)

17
Special Case The signal has a full-scale dynamic
range
Thus,
For a full-scale sinusoidal signal with amplitude
A,
Increasing 1 bit of the ADC quantizer can improve
SNRq by 6 dB ? The 6-dB rule
18
Example
  • In a DSP system, the output SNRq is to be
    held to a
  • minimum of 40 dB. Determine the number of
    required quantization levels, and the
    corresponding
  • SNRq assuming a full-scale sinusoidal input.

19
Flash ADC Unit
  • One of several ways to implement ADC
  • Consists of a series of reference voltages
    created by equal resistors
  • A set of comparators is used to compare the input
    voltage with the reference voltages
  • An encoding logic unit outputs the binary
    sequence
  • Offers high conversion speed
  • Impractical for high-resolution applications

20
An Example of a Simple 2-bit Flash ADC
21
Non-uniform Quantization
  • Needed for signals whose smaller amplitudes
    predominate and larger ones are rare (i.e.,
  • speech)
  • Difficult to design

22
Companding
  • Pre- and post-processing applied to a uniform
    quantizer to achieve non-uniform quantization
  • The combination of compression and expansion
  • The signal samples first compressed before
    passing through a uniform quantizer
  • To restore the signal samples to their correct
    relative level, an expander with a characteristic
    complementary to that of the compressor is used
    in the receiver

23
Characteristics of a compressor
24
Compression Law
  • ? -law (used in digital telephony in North
    America Japan with ? 255)
  • A-law (used in Europe with A 87.6)
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