The Discrete Fourier Transform and Signal Processing

The Discrete Fourier Transform (DFT) is a mathematical function that is foundational to our digital world. It converts a sampled signal from the time domain to the frequency domain, allowing us to observe what frequencies are present in the signal. This information has many applications, such as finding unwanted noise in a signal or determining unnecessary colors for image compression. In this poster we will first develop an intuition for the DFT and then examine an application in signal processing.

Publication Details

Journal
ScholarSpace - JCCC (Johnson County Community College)
Published
2025-05-01
Primary Topic
Atomic and Molecular Physics
Type
article
Field-Weighted Citation Impact
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article

The Discrete Fourier Transform and Signal Processing

ScholarSpace - JCCC (Johnson County Community College)
Atomic and Molecular Physics
article

The Discrete Fourier Transform and Signal Processing

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Abstract

The Discrete Fourier Transform (DFT) is a mathematical function that is foundational to our digital world. It converts a sampled signal from the time domain to the frequency domain, allowing us to observe what frequencies are present in the signal. This information has many applications, such as finding unwanted noise in a signal or determining unnecessary colors for image compression. In this poster we will first develop an intuition for the DFT and then examine an application in signal processing.

ScholarSpace - JCCC (Johnson County Community College)
Openalex Percentile: Top 47%
Atomic and Molecular Physics
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The Discrete Fourier Transform and Signal Processing · ScholarSpace - JCCC (Johnson County Community College) (2025) | TGRS Research Map | TGRS