ements al Exam, Spring 2018 Each problem is worth 5 pts. Total = 100 pts. Time 1

Question

ements al Exam, Spring 2018 Each problem is worth 5 pts. Total = 100 pts. Time 1. How does the Fast Fourier Transform help you when you wa 2 hrs. nt to filter a noisy signal? 2. Three temperature sensors with time constants of 0.1 s, 0.2s and 0.25 s are available in the lab. of the sensor(s) is most appropriate? measure a temperature signal that varies as T(t)= 100sin(8?). which If you repeated Lab 2 and obtained the graph shown below, determine the time constant for the temperature sensor? 3. Error fraction vs. time 30 40 50 60 0.1 0.01 ? 0.001 Time (s) For a data set of 65 samples, the mean and standard deviation are 10 and 1, respectively. What percentage of samples are (a) below 10 and (b) greater than 12? Assume normal distribution. 4.

Explanation / Answer

1)The fft function uses fast fourier transform algorithm and helps in signal modifying by filtering noisy signals. Using this method noise can be romeved from audio in Matlab. When there is noise in audio files, methods such as spectral subtraction can be used. Everything below a certain threshold can be filtered out by calculating the FFT values and calculating threshold and removing everything below it.

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