Filtering vs. decimation

Filtering means eliminating all energy in some frequency bands. Decimation means anti-alias filtering a signal and then downsampling it.

1. What is decimation filtering?
2. What is the difference between decimation and downsampling?
3. What is the difference between decimation and interpolation?
4. What is the purpose of decimation?
5. What is filtering in DSP?
6. Which filter is used in decimation and interpolation?

What is decimation filtering?

Decimation (Digital Filter Design Toolkit) Decimation is the process of reducing the sampling frequency of a signal to a lower sampling frequency that differs from the original frequency by an integer value. Decimation also is known as down-sampling.

What is the difference between decimation and downsampling?

Loosely speaking, “decimation” is the process of reducing the sampling rate. In practice, this usually implies lowpass-filtering a signal, then throwing away some of its samples. “Downsampling” is a more specific term which refers to just the process of throwing away samples, without the lowpass filtering operation.

What is the difference between decimation and interpolation?

Decimation and interpolation are the two basic building blocks in the multirate digital signal processing systems. The decimator is utilized to decrease the sampling rate and interpolator to increase the sampling rate.

What is the purpose of decimation?

Decimation reduces the original sample rate of a sequence to a lower rate. It is the opposite of interpolation. decimate lowpass filters the input to guard against aliasing and downsamples the result.

What is filtering in DSP?

Filtering is a class of signal processing, the defining feature of filters being the complete or partial suppression of some aspect of the signal. Most often, this means removing some frequencies or frequency bands.

Which filter is used in decimation and interpolation?

11.2 Polyphase Filter Structure and Implementation. Due to the nature of the decimation and interpolation processes, polyphase filter structures can be developed to efficiently implement the decimation and interpolation filters (using fewer number of multiplications and additions).