Final Answer:
In digitizing analog data, the process involves measuring data at regular intervals called samples, known as sampling. Sampling is crucial for creating a digital representation of the analog signal, preserving its essential characteristics.
a) Sampling
Step-by-step explanation:
In the process of digitizing analog data, the crucial step involves measuring the analog data at regular intervals known as samples. This process is referred to as "sampling." During sampling, discrete points of the continuous analog signal are captured at specific time intervals to create a digital representation. It is a fundamental step in converting analog information into a format suitable for digital processing and storage.
Sampling is vital for preserving the essential characteristics of the analog signal while converting it into a digital form. The sampling rate, measured in hertz (Hz), determines how frequently these samples are taken per second. The Nyquist-Shannon sampling theorem states that the sampling rate must be at least twice the highest frequency component of the analog signal to avoid aliasing and accurately reconstruct the original signal during playback.
In summary, the answer is "a) Sampling" because it precisely captures the essence of the process involving the measurement of analog data at regular intervals to create a digital representation. The proper application of sampling, adhering to the Nyquist-Shannon theorem, ensures the faithful representation of the analog signal in the digital domain.