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data compression

Rajat Arya 50 preguntas

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Preguntas del test (50)

  1. 1Which of the following characterizes a quantizer
    1. AQuantization results in a non-reversible loss of information
    2. BA quantizer always produces uncorrelated output samples
    3. CThe output of a quantizer has the same entropy rate as the input
    4. DNone of the above
  2. 2What is the signal-to-noise ratio (SNR)?
    1. AThe ratio of the average squared value of the source output and the squared error of the source output
    2. BThe ratio of the average squared value of the source output and the mean squared error of the source output
    3. CThe ratio of the average squared value of the source output and the absolute difference measure of the source output
    4. DNone of the above
  3. 3The output signal of a scalar quantizer has property
    1. AThe output is a discrete signal with a finite symbol alphabet
    2. BThe output is a discrete signal with a countable symbol alphabet (but not necessarily a finite symbol alphabet)
    3. CThe output signal may be discrete or continuous
    4. DNone of the above
  4. 4What is a Lloyd quantizer?
    1. AFor a given source, the Lloyd quantizer is the best possible scalar quantizer in ratedistortion That means, there does not exist any other scalar quantizer that yields a smaller distortion at the same rate.
    2. BThe output of a Lloyd quantizer is a discrete signal with a uniform pmf
    3. CBoth (A) and (B)
    4. DA Lloyd quantizer is the scalar quantizer that yields the minimum distortion for a given source and a given number of quantization
  5. 5Which of the following statement is correct for comparing scalar quantization and vector quantization?
    1. AVector quantization improves the performance only for sources with memory. For iid sources, the best scalar quantizer has the same efficiency as the best vector quantizer
    2. BVector quantization does not improve the rate-distortion performance relative to scalar quantization, but it has a lower complexity
    3. CBy vector quantization we can always improve the rate-distortion performance relative to the best scalar quantizer
    4. DAll of the above
  6. 6If {x}n is the source output and {y}n is the reconstructed sequence, then the squared error measure is given by
    1. Ad(x, y) = (y – x)^2
    2. Bd(x, y) = (x – y)^2
    3. Cd(x, y) = (y + x)^2
    4. Dd(x, y) = (x – y)^4
  7. 7If {x}n is the source output and {y}n is the reconstructed sequence, then the absolute difference measure is given by
    1. Ad(x, y) = |y – x|
    2. Bd(x, y) = |x – y|
    3. Cd(x, y) = |y + x|
    4. Dd(x, y) = |x – y|2
  8. 8The process of representing a ______possibly infinite set of values with a much _______set is called quantization
    1. ALarge, smaller
    2. BSmaller, large
    3. Clarge, large
    4. DNone of these
  9. 9The set of inputs and outputs of a quantizer can be
    1. AOnly scalars
    2. BOnly vectors
    3. CScalars or vectors
    4. DNone of these
  10. 10Which of the folowing is/are correct for uniform quantizer
    1. AThe simplest type of quantizer is the uniform quantizer
    2. BAll intervals are the same size in the uniform quantizer, except possibly for the two outer intervals
    3. CThe decision boundaries are spaced evenly
    4. DAll of the above

Información

Descripción
CSE Engineering Test sobre data compression, creado por Rajat Arya el 14/07/2021.
Idioma
English
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