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Chapter 17
The Fourier series is an effective tool for representing periodic functions like a train of square waves. Consider a pulse-train waveform consisting of a ...
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 ...
In radio broadcasting, Fourier Transform properties are applied in simultaneous multi-channel transmission, adjusting audio clip speeds, live broadcast ...
The Frequency Shifting property of Fourier Transforms states that a shift in the frequency domain corresponds to a phase shift in the time domain, ...
Parseval's theorem is a principle used in signal processing to calculate the energy of a signal. It allows the computation of the same energy value ...
The Discrete-Time Fourier Transform is a variant of the Fourier transform applied to a discrete-time signal. This transform replaces the integral in the ...
Consider two discrete-time signals, each with their respective Discrete-Time Fourier Transforms DTFTs. The signals are first multiplied by constants a and ...
Consider a discrete-time Fourier transform (DTFT) pair, differentiate both sides with respect to Ω, and then multiply by j. The right-hand side ...
Consider a vibration sensor that continuously captures data in the form of a continuous time-dependent signal. However, in reality, the sensor can only ...
The Fast Fourier Transform, FFT, is a computational algorithm for calculating the Discrete Fourier Transform by breaking the calculations into smaller, ...
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