Design of computationally efficient 2D FIR filters using sampling‐kernel‐based interpolation and frequency transformation
Summary
Design of computationally efficient 2D FIR filters using sampling‐kernel‐based interpolation and frequency transformation is a scholarly article[1].
Key Facts
Design of computationally efficient 2D FIR filters using sampling‐kernel‐based interpolation and frequency transformation's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Design of computationally efficient 2D FIR filters using sampling‐kernel‐based interpolation and frequency transformation. Retrieved May 24, 2026, from https://4ort.xyz/entity/design-of-computationally-efficient-2d-fir-filters-using-samplingkernelbased-interpolation-and-frequency-transformation
MLA“Design of computationally efficient 2D FIR filters using sampling‐kernel‐based interpolation and frequency transformation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/design-of-computationally-efficient-2d-fir-filters-using-samplingkernelbased-interpolation-and-frequency-transformation.
BibTeX@misc{4ortxyz_design-of-computationally-efficient-2d-fir-filters-using-samplingkernelbased-interpolation-and-frequency-transformation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Design of computationally efficient 2D FIR filters using sampling‐kernel‐based interpolation and frequency transformation}}, year = {2026}, url = {https://4ort.xyz/entity/design-of-computationally-efficient-2d-fir-filters-using-samplingkernelbased-interpolation-and-frequency-transformation}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Design of computationally efficient 2D FIR filters using sampling‐kernel‐based interpolation and frequency transformation — https://4ort.xyz/entity/design-of-computationally-efficient-2d-fir-filters-using-samplingkernelbased-interpolation-and-frequency-transformation (retrieved 2026-05-24)
