Concepts of sampling across signals
A method often used in the domain of research, the process of sampling selects a subset of data points across a larger dataset to reduce the amount of data to be analyzed. This can be done because either analyzing the entire dataset would be impossible, or unnecessary to achieve the research goal, or because it would be impractical to do so. For example, if we wanted to record how many doors on average each car in a store parking lot has, it may be possible to go through the entire parking lot and record the data in its entirety. However, if the parking lot contains 20,000 cars, it may be best to select a sample of those cars, say 2,000, and analyze that instead. There are many sampling methods used to ensure that a representational subset of the data is selected, to ensure the meaning of the data is not lost because of the sampling.
Methods for sampling can be grouped as either of the following:
- Probabilistic (https://en.wikipedia.org...
