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FAQs on Introduction & Different Operations on Signals - GATE Notes & Videos for Electrical Engineering - Electrical Engineering (EE)

1. What is a signal in the context of signal operations?
Ans. A signal refers to a time-varying or spatial-varying quantity that carries information. In the context of signal operations, signals are typically represented as functions of time or space.
2. What are the different operations that can be performed on signals?
Ans. There are several operations that can be performed on signals, including: - Amplification: Increasing the amplitude of a signal. - Filtering: Manipulating the frequency content of a signal by selectively allowing or blocking certain frequencies. - Modulation: Combining a signal with a carrier wave to shift its frequency range. - Sampling: Converting a continuous signal into a discrete signal by measuring it at regular intervals. - Convolution: Combining two signals to produce a third signal that represents the mathematical overlap between them.
3. How can amplification of a signal be achieved?
Ans. Amplification of a signal can be achieved by using an amplifier. An amplifier increases the amplitude of a signal without significantly distorting its shape or frequency content. Amplifiers are commonly used in audio systems, telecommunications, and various electronic devices.
4. What is the purpose of filtering in signal operations?
Ans. Filtering is used to manipulate the frequency content of a signal. It allows certain frequencies to pass through while blocking or attenuating others. Filtering is commonly used in audio processing, image processing, and communication systems to remove noise, enhance specific frequency components, or separate signals in different frequency bands.
5. How does sampling convert a continuous signal into a discrete signal?
Ans. Sampling involves measuring a continuous signal at regular intervals called the sampling rate. By capturing the amplitude of the signal at these discrete time points, a continuous signal is converted into a discrete signal. The sampling rate determines the fidelity of the reconstructed signal, with a higher sampling rate resulting in better representation of the original continuous signal. Sampling is crucial in digital signal processing and analog-to-digital conversion.
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