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Analog and Digital Systems | 40 Q&A | Bit Depth, Sampling, CODEC, Compression | Digital Basics | VTU

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This document presents a well-structured collection of 40 exam-style questions and answers focused on the fundamentals of Analog and Digital Systems, aligned with the 2025/2026 academic year. It introduces essential digital electronics concepts and signal processing fundamentals, making it ideal for students building core knowledge in this area. Topics include analog vs digital signals, bit depth and quantization, sampling rate and Nyquist theorem, signal noise and interference, as well as CODEC functionality, lossless vs lossy compression, and common digital media formats like MPEG and AVI. The explanations address practical concepts such as how digital signals overcome noise, the role of bit depth in signal accuracy, and how compression techniques affect file size and quality. Whether you’re preparing for an exam or need a quick yet reliable overview, this guide provides accurate, clear answers to fundamental questions. This resource is best suited for: – Electronics and Communication Engineering (ECE) and Computer Science (CS/IT) students – Courses including Analog and Digital Systems, Digital Electronics, Signal Processing, Multimedia Systems – University-level study at VTU or institutions following similar curricula – Students preparing for theoretical exams or needing conceptual clarity for digital system design and analysis Keywords: analog signal, digital signal, bit depth, sampling rate, Nyquist theorem, quantization, digital compression, lossless compression, lossy compression, codec, signal noise, interference, discrete signals, MPEG, AVI, digital waveform, CODEC function, signal representation, ECE, digital basics, VTU

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Analog and Digital Systems
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Uploaded on
November 11, 2025
Number of pages
5
Written in
2025/2026
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Exam (elaborations)
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Questions & answers

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Analog and Digital Systems 2025/2026
Exam Questions and Correct Answers |
New Update



Noise overcomes the signal after many generations of re-amplifications of

a(n) _____ signal. - 🧠ANSWER ✔✔Analog


A value with 16 possible states is referred to as _____. - 🧠ANSWER ✔✔4-

bit

Lossless compression involves making a digital representation that is

_____. - 🧠ANSWER ✔✔Exactly the same as the original


Bit depth is defined as the number of _____ you have in which to describe

the value of a digital signal. - 🧠ANSWER ✔✔States

, As noise is introduced to a(n) _____ signal, signal-processing circuitry can

determine if the signal is intended to be high or low, and then retransmit a

solid signal without the imposed noise. - 🧠ANSWER ✔✔Digital


A digital waveform usually expresses _____. - 🧠ANSWER ✔✔On or off

states

A signal that has a number of discrete states is called a(n) _____ signal. -

🧠ANSWER ✔✔Digital


Two digital video formats are _____. - 🧠ANSWER ✔✔MPEG and AVI


Sampling rate is defined as _____. - 🧠ANSWER ✔✔how many samples of

an analog signal are taken in a given time interval

To meet the Nyquist-Shannon Sampling Theorem criteria, a sampling rate

needs to be _____. - 🧠ANSWER ✔✔At least twice the highest required

frequency of the signal being sampled


The quality of a file can suffer if _____. - 🧠ANSWER ✔✔


In a digital signal, the "on" state is usually represented by _____ and the

"off" state is represented by _____. - 🧠ANSWER ✔✔one; zero

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