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1 1. The Kurtosis coefficient:  none of the other ✕ o is negative when the signal has a sharper probability density function than a Gaussian distribution o is negative when the signal has a flatter probability density function than a Gaussian distribution o is negative when the signal has a non-symmetrical probability density function 2. Which window would you use to obtain amplitude of a random signal with unknown frequency components if you are not able to tune the acquisition parameters?  Hanning ✔ o Flat top o Exponential o Rectangular 3. In a Short Time Fourier Transform, the x and y axes show respectively: o none of the other o amplitude and frequency  time and frequency ✔ o time and amplitude 4. The autocorrelation of a signal at T=0 is 7 (units missing). The signal RMS is: o 3.18 o 1.13 o 7  2.64 ✔ 2 5. The CPDF curve of a gaussian distribution: o is nondimensional o is larger than the signal RMS o none of the other  is smaller than the signal RMS ✕ 6. Increasing the acquisition time T has positive effects on leakage because: o it allows to avoid aliasing o it allows to completely solve the problem of leakage o when T increases, the spectrum affected by leakage becomes as high as the correct spectrum  the change in resolution decreases the effect of both long-term and short-term leakage ✔ 7. The Fourier Transform of a real, odd signal is: o real, odd o real, even o imaginary, even  imaginary, odd ✔ 8. Superposition integral, the core of the linear system theory: o depends on the frequency resolution o none of the other  can be used to predict the frequency response of a linear system ✕ o is always imaginary 3 9. The average between the two signals Y1= 3*cos(2*pi*t + 2) and Y2= 3.1*cos(2*pi*t + 1.5), is a vector rotating at 2 Hz with arguments and…