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While processing a signal through a channel, it is preferred to sample it. It is because of the following reasons
- As we send only the samples, the gap between samples can be used to send another signal.
- Multiplexing is possible
- Samples occupy less space than signals
- Total signal may not be required to recover data
And hence we use samples which are nothing but discrete time signals. hence, it is called discrete time signal processing.
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In signal processing, sampling is the reduction of a continuous signal to a discrete signal. A common example is the conversion of a sound wave (a continuous signal) to a sequence of samples (a discrete-time signal).
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To find the time period of a discrete signal, you need to identify the time interval between consecutive occurrences of a specific pattern or value in the signal. This may involve observing the repeating pattern in the signal and measuring the time it takes for the pattern to repeat. Once you have identified this time interval, it represents the time period of the discrete signal.
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