Rectangular function: Difference between revisions

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== Rectangular function gallery ==
<gallery>
File:Rectangular function.svg|Rectangular function
File:Sinc function (normalized).svg|Sinc function (normalized)
</gallery>

Latest revision as of 06:02, 3 March 2025

Rectangular function or rect function is a fundamental concept in the fields of signal processing, mathematics, and electronic engineering. It is a type of mathematical function that is defined to be 1 over an interval and 0 outside that interval. This function is crucial in the analysis and understanding of signals, particularly in the context of Fourier transforms and waveform shaping.

Definition[edit]

The rectangular function, often denoted as \( \text{rect}(t) \), is defined as:

\[ \text{rect}(t) = \begin{cases} 1 & \text{if } |t| < \frac{1}{2} \\ \frac{1}{2} & \text{if } |t| = \frac{1}{2} \\ 0 & \text{if } |t| > \frac{1}{2} \end{cases} \]

This definition implies that the function has a value of 1 within the interval \( -\frac{1}{2} \leq t \leq \frac{1}{2} \) and a value of 0 outside this interval. The points at \( t = \pm\frac{1}{2} \) are often considered as part of the function's transition and can be defined differently depending on the context.

Applications[edit]

The rectangular function is widely used in various applications, including:

Fourier Transform[edit]

One of the most important properties of the rectangular function is its Fourier transform. The Fourier transform of \( \text{rect}(t) \) is the sinc function, which is defined as \( \text{sinc}(f) = \frac{\sin(\pi f)}{\pi f} \). This relationship is crucial in understanding the behavior of signals in the frequency domain and is a foundational concept in signal processing and communications.

See Also[edit]

References[edit]

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Rectangular function gallery[edit]