Virtual Labs

1: What does 'white' refer to in Additive White Gaussian Noise (AWGN)?

a: The amplitude is always constant Explanation

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b: The noise power is concentrated at one frequency Explanation

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c: The noise has equal power across all frequencies Explanation

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d: The noise only affects white-colored signals Explanation

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2: Which statistical distribution characterizes the amplitude of AWGN in time domain?

a: Uniform distribution Explanation

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b: Poisson distribution Explanation

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c: Gaussian distribution Explanation

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d: Exponential distribution Explanation

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3: How does thermal noise in resistors relate to AWGN?

a: It is non-Gaussian and non-stationary Explanation

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b: It is modeled as AWGN with a flat PSD due to random thermal agitation Explanation

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c: It has a narrowband PSD centered at 1 kHz Explanation

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d: It is deterministic and periodic Explanation

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4: Which of the following best describes the autocorrelation function Rn(τ) of ideal AWGN?

a: A decaying exponential Explanation

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b: A sinc function Explanation

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c: A delta function at zero lag Explanation

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d: A cosine wave Explanation

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5: Why does the power spectral density (PSD) of AWGN appear flat across frequencies?

a: Because it contains harmonics of the input signal Explanation

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b: Due to its deterministic structure Explanation

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c: Because its autocorrelation is a delta function Explanation

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d: Because it is sampled at Nyquist rate Explanation

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6:In a communication system, how does AWGN affect the performance at high SNR levels?

a: It becomes negligible and introduces no bit errors Explanation

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b: It causes significant inter-symbol interference Explanation

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c: It may still introduce errors due to its unbounded nature Explanation

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d: It gets filtered out completely at the receiver Explanation

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