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Questions: Classification of signals - 3 Video Lecture | Signals and Systems - Electronics and Communication Engineering (ECE)
FAQs on Questions: Classification of signals - 3 Video Lecture - Signals and Systems - Electronics and Communication Engineering (ECE)
| 1. What are the main types of signals in Electronics and Communication Engineering? |  |
Ans. The main types of signals are analog signals and digital signals. Analog signals are continuous in nature and can take any value within a given range. Digital signals, on the other hand, are discrete and represent data in binary form, typically using 0s and 1s.
| 2. How can signals be classified based on their periodicity? | |
Ans. Signals can be classified into two categories based on periodicity: periodic signals and aperiodic signals. Periodic signals repeat their values at regular intervals over time, while aperiodic signals do not have a repeating pattern and vary in a non-repetitive manner.
| 3. What is the difference between deterministic and random signals? | |
Ans. Deterministic signals are those whose future values can be precisely predicted based on past values, meaning they follow a known pattern. Random signals, however, have unpredictable values and are characterized by statistical properties, making them harder to analyze and predict.
| 4. What is the significance of classifying signals in communication systems? | |
Ans. Classifying signals is crucial because it helps engineers choose appropriate techniques for signal processing, transmission, and reception. Different types of signals require different modulation schemes and processing methods, which affects the overall efficiency and effectiveness of communication systems.
| 5. Can you explain the characteristics of continuous-time and discrete-time signals? | |
Ans. Continuous-time signals are defined for all values of time and can take on any value within a continuous range. Discrete-time signals, in contrast, are defined only at specific intervals and consist of a series of isolated points. This distinction is important for different processing techniques in signal analysis.
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