Downsampling time series data

1. What is downsampling in time series data?
2. What is downsampling data?
3. Why do we downsample time series?
4. What is the purpose of downsampling?

What is downsampling in time series data?

Downsampling involves decreasing the time-frequency of the data, it is a data aggregation procedure where we aggregate the time frequency from a lower level to a higher level. For example summarizing the time-frequency from days to months, or hours to days or seconds to hours.

What is downsampling data?

Description. Downsampling is the process of reducing the sampling rate of a signal. Downsample reduces the sampling rate of the input AOs by an integer factor by picking up one out of N samples. Note that no anti-aliasing filter is applied to the original data.

Why do we downsample time series?

Downsampling provides a method to reduce the footprint of your time series data by storing it at reduced granularity. Metrics solutions collect large amounts of time series data that grow over time. As that data ages, it becomes less relevant to the current state of the system.

What is the purpose of downsampling?

(1) To make a digital audio signal smaller by lowering its sampling rate or sample size (bits per sample). Downsampling is done to decrease the bit rate when transmitting over a limited bandwidth or to convert to a more limited audio format.