In this chapter, you will learn about windows and how they affect the spectral characteristics of a signal.
Understand spectral leakage and the need for smoothing windows.
Identify the difference (both time and frequency domains) between a windowed and a nonwindowed signal.
Learn about the differences between the various types of windows in the Analysis Library and their applications.
Separate two sine waves that are closely spaced in the frequency domain but have a large amplitude difference.
In practical applications, you can obtain only a finite number of samples of the signal. When you use the DFT/FFT to find ...