Linear Filtering Algorithm
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A Linear Filtering Algorithm is a data filter that produces a linear function.
- Context:
- It can range from being a Discrete-Time Linear Filter to being a Continuous-Time Linear Filter.
- Example(s):
- a Kalman Filter.
- a Gabor Filter.
- a Linear Image Filter (image filter).
- See: Transform Function, Analog Electronics, Digital Signal Processing, Causal, Time Invariant, Timeseries Analysis.
References
2018
- (Wikipedia, 2018) ⇒ https://en.wikipedia.org/wiki/linear_filter Retrieved:2018-1-4.
- Linear filters process time-varying input signals to produce output signals, subject to the constraint of linearity. This results from systems composed solely of components (or digital algorithms) classified as having a linear response. Most filters implemented in analog electronics, in digital signal processing, or in mechanical systems are classified as causal, time invariant, and linear signal processing filters.
The general concept of linear filtering is also used in statistics, data analysis, and mechanical engineering among other fields and technologies. This includes non-causal filters and filters in more than one dimension such as those used in image processing; those filters are subject to different constraints leading to different design methods.
- Linear filters process time-varying input signals to produce output signals, subject to the constraint of linearity. This results from systems composed solely of components (or digital algorithms) classified as having a linear response. Most filters implemented in analog electronics, in digital signal processing, or in mechanical systems are classified as causal, time invariant, and linear signal processing filters.