November 2010
Intermediate to advanced
288 pages
8h 34m
English
book
Notes on Digital Signal Processing: Practical Recipes for Design, Analysis and Implementation
by C. Britton Rorabaugh
Content preview from Notes on Digital Signal Processing: Practical Recipes for Design, Analysis and Implementation
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Note 11. Fourier Transform
Mathematically defined continuous-time signals having finite energy can be analyzed using the Fourier transform (FT), defined in Math Box 11.1. The FT can be expressed as a function of either cyclic frequency, f, or radian frequency, ω = 2πf. In some contexts, the Fourier transform is referred to as the continuous-time Fourier transform (CTFT) to emphasize the distinction between it and the discrete-time Fourier transform that is presented in Note 12.
Math Box 11.1. Fourier Transform
MB 11.1
MB 11.2
Inverse Transform ...
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