17.2:
Basic signals of Fourier Transform
Among the key elements of the Fourier Transform, the sinc function is unique in that it equals 1 when its argument is zero and exhibits even symmetry.
In the frequency domain, the Fourier transform of a rectangular pulse transforms into this sinc function, which exhibits symmetry with a peak at the origin and progressively smaller lobes on either side.
The exponential signal, a complex-valued function, represents a sinusoidal oscillation at a specific frequency. When subjected to a Fourier transform, its frequency content becomes a single impulse located at a particular frequency.
This indicates that a perfect square wave incorporates an infinite number of harmonic frequencies represented by the lobes of the sinc function.
The delta function is zero everywhere except at zero, where it's infinite. The Fourier transform of a delta function is a constant, signifying that a delta function contains all frequencies with equal magnitude.
17.2:
Basic signals of Fourier Transform
The Fourier Transform is a pivotal mathematical tool in signal processing, enabling the transformation of time-domain signals into their frequency-domain representations. Among the numerous elements within this domain, certain functions like the sinc function, delta function, and exponential signals hold significant importance due to their unique properties and implications.
The sinc function, defined as sinc(x) = sin(πx)/(πx), is particularly notable for its symmetry and behavior at zero. It achieves a value of one when its argument is zero and exhibits even symmetry about the y-axis. This function emerges prominently in the frequency domain as the Fourier transform of a rectangular pulse. A rectangular pulse, characterized by its constant amplitude over a specific interval, transforms into a sinc function. The resulting sinc function is symmetric with a pronounced peak at the origin, and its lobes diminish in amplitude as they move away from the center. This transformation shows that a rectangular pulse in the time domain is composed of an infinite series of harmonic frequencies.
The delta function, or Dirac delta function, is another critical element in the study of Fourier transforms. It is defined to be zero everywhere except at zero, where it is infinitely large such that its integral over the entire real line is equal to one. The Fourier transform of a delta function yields a constant value across all frequencies, indicating that the delta function encompasses all frequencies with equal magnitude. This property makes the delta function an essential tool for analyzing and synthesizing signals, as it serves as the foundation for constructing other functions through convolution.
Exponential signals, represented by complex-valued functions of the form ejωt, are fundamental in describing sinusoidal oscillations at specific frequencies. When an exponential signal undergoes a Fourier transform, the result is a single impulse at the corresponding frequency in the frequency domain. This transformation highlights the pure frequency content of the exponential signal, illustrating that it consists of a single frequency component without any harmonics.