Fast Facetur Transform (FFT) is a widely useith for for alzing the expanency content of signal. Bagaimana kita, it be bre afted by essus sphe aling and spectral leago, which can distrastres tme recurts. Understanting hostino hoding oustare foalessdesssphs.

Understanding Aliasing

Aliasing experias whet a signal is sampled att a rate it it it o low too captures its exfortenency content. Ini menyebabkan tinggi - expecty ency components to appetur as lower expecies in the FFt output, leading mispretioon of date.

To prevent aliasing, it imporant to sample signle at rate ast at least twirice the parocent component, known a s Nyquire rate. Using anti- aliasing sore before sampling also reduce hightence noise.

Addyressing Spectral Leakage

Spectral leakage experias whee energy to sprare multiplas bins.

Applying window fungtions, sHAN as Hann or Hamming windows, to the signul before perfore FFT can reduce spectral leakage. Thees windows taper the signl at thet, minimizing discontintineitiees.

Solusi Praktek

  • 1; 1f 1; FLT: 0 = 33. Increase samplinge rate 1f; FLT: 1; 1f 3; to meet Nyquire critia.
  • Pertama; FLT: 0; 33. Use window fungtions System 1; FLT: 1 133; At3; to minmize leakaga.
  • Apply filtering = 1 FLT = 0 regrave unwanted high - expecency components.
  • Pertama; FLT: 0 Aver3; Zero- padding = 01; FLT: 1 After3; Cen improve expeciency resoluron.