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DTFT Analysis of Animal Sounds and Stocks by Emily is a document available to read on EtoBox.

This document summarizes an assignment analyzing animal sounds and stock price data using the discrete-time Fourier transform (DTFT). The DTFT is used to find the frequency spectrum of various animal sounds from .wav files and reveals the fundamental frequency of a cat sound. Convolution with a moving average filter smooths out stock price fluctuations by acting as a low-pass filter. A digital graphic equalizer is implemented on music to attenuate and boost different frequency bands, demonstrating how equal

Author

Emily

Language

EN