2013•Unpublished venueRequires access

Mathematical technique for transforming the view of a Signal from Time-based to Frequency-based using Fourier Analysis

D. Atchuta Rao, Patrika Nagar

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Abstract

Signal analysts already have at their disposal an impressive arsenal of tools. Perhaps the most well-known of these is Fourier analysis, which breaks down a signal into constituent sinusoids of different frequencies. Another way to think of Fourier analysis is as a mathematical technique for transforming our view of the signal from time-based to frequency-based.

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What this paper is about

Signal analysts already have at their disposal an impressive arsenal of tools. Perhaps the most well-known of these is Fourier analysis, which breaks down a signal into constituent sinusoids of different frequencies. Another way to think of Fourier analysis is as a mathematical technique for transforming our view of the signal from time-based to frequency-based.

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Available abstract

Signal analysts already have at their disposal an impressive arsenal of tools. Perhaps the most well-known of these is Fourier analysis, which breaks down a signal into constituent sinusoids of different frequencies. Another way to think of Fourier analysis is as a mathematical technique for transforming our view of the signal from time-based to frequency-based.

Key concepts: Fourier analysis, SIGNAL (programming language), Fourier transform, Signal processing, Computer science, Time–frequency analysis, Spectral density estimation, Multidimensional signal processing

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