Study on Down sampling and Up sampling

  Study on Down sampling and Up sampling. This post covers how to upsample and downsample data and the possible pitfalls of this process. Before we cover the technical details let us first explain what we mean by upsample and downsample and why we may need to use it. Both these techniques relate to the rate at which data is sampled, known as the sampling rate. We will see below that the sample rate must be carefully chosen, dependent on the content of the signal and the analysis to be performed. Imagine we have some data which has already been sampled, from a particular test or experiment and we now wish to re-analyse the data maybe using different techniques or to look for a different characteristic and we don’t have the opportunity to repeat the test. In this situation we can look at resampling techniques such as upsampling and downsampling. Downsampling, which is also sometimes called decimation, reduces the sampling rate. Advantages of downsampling: It makes the data of a more mana