Hi This is linear systems and digital signal processing. Please answer this question with clean h...
Consider the following MATLAB code using the handel.mat example file that comes with MATLAB: >> load handel; >> ys = y(1000:1000+100); >> ysw = ys.*blackman(length(ys)); >> [X,f] = SpectrumAnalysis(ysw,Fs,2^12); where SpectrumAnalysis is a user defined function that computes an N-point FFT (i.e. 2^12 points), to an input signal ys with a sampling frequency Fs. Which of the following statements about the spectrum of ys is correct? A) The effect of using the blackman window is that the sidelobes due to...
Hi This is linear systems and digital signal processing. Please answer this question with clean handwriting. Label the answer Moving to another question will save this respose. Question 5 of 23 Question 5 10 points Save Answer A student warnts to visualize the spectrum of the following CT signal using MATLAB, xt) cos(2 p2*:t in seconds He computes a 1024-point FFT of 100 samples using a sampling frequency of 10 Hz. Which of the following recommendations would you give him?...
Hi This is linear systems and digital signal processing. Please answer this question with clean handwriting. Label the answer Δ Moing to another question will save this response. Question 2 of 23 2] <<< Question 2 5 points Save Answer Consider the following MATLAB code using the handel.mat example file that comes with MATLAB:>load handel: >>ys y(1000:1000+100:X SpectrumAnalysis(ys,Fs,2412); where SpectrumAnalysis is a user defined function that computes an N-point FFT (G.e. 2412 points), to an input signal ys with a...
Hi This is linear systems and digital signal processing. Please answer this question with clean handwriting. Label the answer n 29 Question 11 of 23 s Moving to another question will save this response. Question 11 1 points Save Answer Consider a fiter characterized by the following impulse response: h-[1.2,-1, 1] Which of the following statements are true about thie the sampling frequency in this application is 8192 Hz. (You may use MATLAB to help you analyze this filter) 1....