FIR transfer function: Difference between revisions

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== FIR Transfer function Linear filter Application ==

Linear filter performs better when it is a double-sided filter. This requires the data to be known in advance which makes it a challenge for these filters to function well in situations where signals cannot be known ahead of time such as radio signal processing. However, this means that linear filters are extremely useful in filtering pre-loaded data. In addition, because of its non-recursive nature which preserves the phase angles of the input, linear filters are usually used in [[image processing]], [[video processing]], data processing or pattern detection. Some examples are image enhancement, restoration and pre-whitening for spectral analysis.<ref>Huang, T. S. (1981). Topics in applied physics: Two-Dimensional Digital Signal Processing I (3rd ed., Vol. 42, Topics in Applied Physics). Berlin: Springer.</ref> Additionally, linear non-recursive filters are always stable and usually produce a purely real output which makes them more favorable. They are also computationally easy which usually creates a big advantage for using this FIR linear filter.

== Application Example ==

In a paper report written by Stein and Kwasniak (2017) <ref>Stein, M., & Kwasniak, K. (2017, May). Development of an Exoskeleton Prototype for Human Muscle Preservation in Reduced-Gravity Environments (pp. 1-11, Rep.).</ref>, the double sided filter was used to filter the current and gravitational force data points in the paper. The experiment in the paper featured a servo arm attached to an Arduino Uno micro-controller and is put in micro-gravity environment. The drawn current was measured through an ACS712 module of an Arduino Uno micro-controller and was saved by a SunFounder SD TF 2 in 1 Card Reader. The gravitational force was computed from an accelerometer and gyroscope data which were measured through a MPU-6050 sensor attached to the experiment set up. The results in a 0.4-G environment scenario was reported and used as an example for an application of the double-sided filter as follow.

[[File:Maddi.png|Maddi]]

== References ==