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Question

Which of the following points CANNOT be observed about a unit impulse function if it is assumed in the form of a pulse?

The correct answer is

The width of the pulse is half of its height

The unit impulse function, often denoted as the Dirac delta function \(\delta(t)\), is a fundamental concept in signal processing and system analysis. While it is a theoretical construct, it can be approximated and understood as a pulse with specific characteristics. The question asks what characteristic cannot be observed when a unit impulse function is assumed in the form of a pulse.

Unit Impulse Function Properties

When a unit impulse function is represented as a rectangular pulse, it possesses the following key properties:

  • Area Under the Curve: The defining characteristic of a unit impulse function is that the area under its curve is always equal to unity (one). This is true regardless of how narrow or tall the pulse becomes.
  • Width Approaching Zero: For the pulse to behave like an impulse (occurring at a single point in time), its width \( ( \Delta t ) \) must approach zero.
  • Height Approaching Infinity: To maintain the unit area while its width approaches zero, the height \( ( h ) \) of the pulse must simultaneously approach infinity. This relationship ensures that the product of height and width \( ( h \times \Delta t ) \) remains equal to one.

Analyzing Pulse Observations

Let's examine each given option in the context of a unit impulse function approximated as a pulse:

  • The area under the pulse curve is always unity.

    This statement is true. By definition, a unit impulse function has an area of 1. If we consider a rectangular pulse with height \(h\) and width \(\Delta t\), its area is \(h \times \Delta t\). For a unit impulse, this product is always 1, even as \(\Delta t \to 0\) and \(h \to \infty\).

  • The height of the arrow indicates the total area under the impulse.

    This statement is also true. When an impulse is graphically represented as an arrow (a common way to denote an impulse in plots), the height or a number next to the arrow is conventionally used to indicate the strength or area of the impulse, not its actual infinite height. For a unit impulse, this strength is 1.

  • The height of the pulse goes to infinity.

    This statement is true. As explained, for the area to remain unity while the width approaches zero, the height of the approximating pulse must indeed go to infinity. This is a fundamental aspect of how the impulse function is modeled as a pulse.

  • The width of the pulse is half of its height.

    This statement is false and cannot be observed. There is no such fixed relationship between the width and height of a unit impulse pulse. The width approaches zero, and the height approaches infinity, but their specific ratio is not defined as "half of its height". For a unit impulse, the product \(h \times \Delta t\) is 1. If \(\Delta t = h/2\), then \(h \times (h/2) = 1\), which implies \(h^2/2 = 1\), or \(h = \sqrt{2}\). This contradicts the property that \(h \to \infty\). Therefore, this relationship is not characteristic of a unit impulse pulse.

Conclusion on Pulse Observation

Based on the analysis of the properties of a unit impulse function when assumed as a pulse, the statement that "The width of the pulse is half of its height" is the one that cannot be observed. The other statements correctly describe characteristics or representations of a unit impulse function.

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Important Questions from Standard Signals

  1. Inverse Fourier Transform of δ(ω - ω 0) is ______.

  2. The following statements relate to sampling distributions. Choose the correct code for the statements being correct or incorrect.

    Statement I: Sampling distribution of mean is normally distributed irrespective of the type of population distribution and size of samples.

    Statement II : The standard deviation of the sampling distribution of mean is less than the standard deviation of the population distribution.

  3. The value of \(\mathop \smallint \limits_{ - \infty }^{ + \infty } {e^{ - t}}\delta \left( {2t - 2} \right)dt\), where \(\delta \left( t \right)\) is the Dirac delta function, is

  4. \(\mathop \smallint \nolimits_{ - 7}^2 \left( {{t^2} + {t^3} + 1} \right)\delta \left( {t - 3} \right)dt = \_\_\_\_\)
  5. Which of the following is NOT one of the sampling techniques?

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