Step 1: Understanding the Question:
This question asks for the fundamental condition under which the frequency-domain distortion known as aliasing occurs during the signal sampling process.
Step 2: Key Formula or Approach:
Let $f_s$ be the sampling rate and $f_N = 2 f_{max}$ be the Nyquist rate, where $f_{max}$ is the highest frequency component present in the band-limited signal.
The condition for aliasing to occur is:
\[ f_s < f_N \]
Step 3: Detailed Explanation:
• Sampling a continuous-time signal in the time domain corresponds to the periodic replication of its spectrum in the frequency domain at integer multiples of the sampling frequency ($f_s$).
• If the sampling frequency is equal to or greater than twice the maximum frequency component of the signal ($f_s \geq 2 f_{max}$), the spectral replicas are sufficiently separated.
• In this case, an ideal low-pass filter with a suitable cutoff frequency can isolate the original spectrum, allowing for perfect reconstruction without any loss of information.
• If the sampling rate is lower than the Nyquist rate ($f_s < 2 f_{max}$), the adjacent spectral replicas overlap with each other.
• This overlapping makes it impossible to separate the original spectrum from its replicas.
• During reconstruction, high-frequency components are folded back into the lower frequency range, appearing as lower-frequency signals (aliases).
• This phenomenon is called aliasing, and it represents an irreversible loss of the original signal's high-frequency details.
Step 4: Final Answer
Thus, aliasing occurs when the sampling rate is lower than the Nyquist rate, which corresponds to option (B).