(a) Loads the .mat file and computes the Fourier transform of the phase. (b) Estimates the breathing rate (in breaths per minute) by finding the peak of the magnitude spectrum (not counting the high peak at the frequency of 0 Hz). Note that while you will clearly see a peak visually, you are required to write MATLAB code that finds it. (c) Filters/nulls out all frequency components outside of the interval [0.1, 1] Hz (while leaving the frequency content inside this interval unchanged) and plots the resulting filtered time-domain signal.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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All 3 parts please.

In
On LMS,
you will find a file "BreathingPhaseTask1.mat" that contains two variables Phase and fs. The variable
Phase is a column vector containing the phase measurements sampled at a sampling frequency of fs
rec
Hz. Write a MATLAB® script that
(a) Loads the .mat file and computes the Fourier transform of the phase.
(b) Estimates the breathing rate (in breaths per minute) by finding the peak of the magnitude
spectrum (not counting the high peak at the frequency of 0 Hz). Note that while you will clearly
see a peak visually, you are required to write MATLAB code that finds it.
(c) Filters/nulls out all frequency components outside of the interval [0.1, 1] Hz (while leaving the
frequency content-inside this interval unchanged) and plots the resulting filtered time-domain
signal.
Transcribed Image Text:In On LMS, you will find a file "BreathingPhaseTask1.mat" that contains two variables Phase and fs. The variable Phase is a column vector containing the phase measurements sampled at a sampling frequency of fs rec Hz. Write a MATLAB® script that (a) Loads the .mat file and computes the Fourier transform of the phase. (b) Estimates the breathing rate (in breaths per minute) by finding the peak of the magnitude spectrum (not counting the high peak at the frequency of 0 Hz). Note that while you will clearly see a peak visually, you are required to write MATLAB code that finds it. (c) Filters/nulls out all frequency components outside of the interval [0.1, 1] Hz (while leaving the frequency content-inside this interval unchanged) and plots the resulting filtered time-domain signal.
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