Continuous and Discrete Time Signals Video Lecture | Digital Signal Processing - Electronics and Communication Engineering (ECE)

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FAQs on Continuous and Discrete Time Signals Video Lecture - Digital Signal Processing - Electronics and Communication Engineering (ECE)

1. What is the difference between continuous and discrete time signals?
Ans. Continuous time signals are defined for all values of time, while discrete time signals are defined only at specific time instances. Continuous time signals are represented by continuous functions, while discrete time signals are represented by sequences.
2. What are some examples of continuous time signals?
Ans. Some examples of continuous time signals include audio signals, temperature variations, and voltage fluctuations. These signals can take on any value within a continuous range of time.
3. What are some examples of discrete time signals?
Ans. Some examples of discrete time signals include digital audio signals, sampled temperature measurements, and digital data streams. These signals are defined only at specific time instances and can only take on a limited number of values.
4. How are continuous time signals converted into discrete time signals?
Ans. Continuous time signals can be converted into discrete time signals through a process called sampling. This involves measuring the value of the continuous signal at regular intervals of time and storing these values as discrete samples.
5. What are the advantages and disadvantages of continuous and discrete time signals?
Ans. Continuous time signals allow for a more accurate representation of real-world phenomena, but they require more complex and expensive equipment for processing and analysis. Discrete time signals are easier to process and analyze using digital systems, but they may introduce errors due to sampling and quantization.
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