Finite Impulse Response (FIR) Filter
GPTKB entity
Statements (50)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Digital Filter
|
| gptkbp:abbreviation |
gptkb:FIR_Filter
|
| gptkbp:advantage |
Easily implemented in hardware
Inherently stable No feedback required Potentially higher computational cost May require higher order than IIR for similar performance |
| gptkbp:canBe |
gptkb:Parks-McClellan_algorithm
Frequency sampling method Window method |
| gptkbp:characteristic |
Always stable
Finite duration impulse response Linear phase possible |
| gptkbp:contrastsWith |
gptkb:Infinite_Impulse_Response_(IIR)_Filter
|
| gptkbp:hasApplication |
Telecommunications
Radar systems Band-pass filtering Band-stop filtering Biomedical signal processing High-pass filtering Low-pass filtering Seismic data analysis |
| gptkbp:hasDesignTool |
gptkb:LabVIEW
gptkb:DSP_chips gptkb:MATLAB gptkb:GNU_Radio gptkb:Octave Python (scipy.signal) |
| gptkbp:hasOutputDependsOn |
Current and past input values
|
| gptkbp:hasOutputDoesNotDependOn |
Past output values
|
| gptkbp:hasType |
Anti-symmetric FIR filter
Causal FIR filter Non-causal FIR filter Symmetric FIR filter |
| https://www.w3.org/2000/01/rdf-schema#label |
Finite Impulse Response (FIR) Filter
|
| gptkbp:implementedIn |
gptkb:personal_computer
gptkb:software Convolution |
| gptkbp:mathematicalRepresentation |
y[n] = Σ (b_k * x[n-k])
|
| gptkbp:parameter |
Filter order
Filter coefficients |
| gptkbp:relatedTo |
gptkb:Z-transform
gptkb:Digital_Signal_Processing Frequency response Discrete-time systems |
| gptkbp:usedIn |
gptkb:signal_processing
Audio processing Image processing |
| gptkbp:bfsParent |
gptkb:Linear_Filter
|
| gptkbp:bfsLayer |
7
|