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However, understanding different aspects of this subject will be a bit difficult for you in the initial stage. Our experts will make this task easy for you by providing detail information on this subject so that you can improve your knowledge and prepare yourself for the exam days.
What is oversampling?
Oversampling is a process through which sampling frequency can be increased. This whole process is done by generating digital samples based on the values of other known samples. The sampling frequency of a disc should be of 44,100 Hz. Oversampling means you are doubling its sample frequency by 88,200Hz. The extra samples are created based on the estimated value of new samples. This process is called interpolation.
What are the uses of oversampling?
As per the reports of researchers, oversampling gives you a useful option as you can store all information in the training dataset and thus, it is considered a better option than undersampling. In using undersampling, you need to drop much information even if they belong to a major class. Therefore, oversampling considered the best for storing information for an algorithm. In Big enterprises, this is extensive used for managing their database.
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What are the advantages of oversampling?
There are some specific advantages associated with oversampling. Let’s have a look at them.
- Frequency plan flexibility
- Managing higher signal bandwidth
- Processing higher gain
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