Clarification on the application of window pre-FFT

1. What is windowing in FFT?
2. What is windowing in DFT?
3. Why do we use window technique in DSP?
4. Which windowing technique is best?

What is windowing in FFT?

Windowing reduces the amplitude of the discontinuities at the boundaries of each finite sequence acquired by the digitizer. Windowing consists of multiplying the time record by a finite-length window with an amplitude that varies smoothly and gradually toward zero at the edges.

What is windowing in DFT?

Lecture 5 - DFT & Windowing. Page 1. In this lecture, I will be examining the impact of extracting a portion of a signal and find the spectrum of this extracted portion instead of the signal. This process of taking a portion of signal is known as “windowing”.

Why do we use window technique in DSP?

Sufficiently large signals are also difficult to analyze statistically, because statistical calculations require all points to be available for analysis. In order to avoid these problems, engineers typically analyze small subsets of the total data, through a process called windowing.

Which windowing technique is best?

The Hamming window is preferred by many due to its relatively narrow main lobe width and good attenuation of the first few side lobes.