Fast Faceer Transform (FFT) is a widely usuad technique in signul rescing to expanency components. Howeves of ter artifacter ts tont can irt irrome the results. idenfying and resolving the artifacts is ies iser foenationals.

Artis Common FFT

Severaul artifacts can appeir during FFT analysis, including specrel leakage, aliasing, and winwing effice. Theese esene leadis to misleaading extency representations and imptact decision -making recises.

Solusi Praktek

Implementingaspecic techques can mitigate these artifacts. Proper windowing, meningkatkan sing sample size, and antiasing filtere among the efektive methode.

Teknis Rekomendasi

  • Pertama; FLT: 0; 3; Windowing:
  • FLT: 0 = 33; Sample Size: 1f; FLT: 1 1f 323; Use larger data sets to improve expeciency resoluon.
  • Pertama, FLT: 0 = 33. Anti-Aliasing Filters:
  • SOL1R; FLT: 0 AFL3; Zero Padding: Zer1; FLT: 1 AV3; Add zeros to the to interpolatate spectrum and improve clarity.
  • FLT: 0: 33; Overlap Processing: