Question 9: Write a function named signaldenoiser that takes the noisy 1D array and the number of subintervals as inputs and returns a denoised array. This function should average all the samples in each subinterval and return a denoised signal with each subinterval set to the average value in that subinterval. Test the function on the noisy signal generated in Question 6.

Plot the denoised signal and the original signal in the same plot (use different line colors for the different signals) and label the axes and give the plot a title. Assign plot legends to distinguish the two signals. How does the denoised signal compare to the original signal?

Question 9: Write a function named signaldenoiser that takes the noisy 1D array and the number of subintervals as inputs and returns a denoised array. This function should average all the samples in each subinterval and return a denoised signal with each subinterval set to the average value in that subinterval. Test the function on the noisy signal generated in Question 6. Plot the denoised signal and the original signal in the same plot (use different line colors for the different signals) and label the axes and give the plot a title. Assign plot legends to distinguish the two signals. How does the denoised signal compare to the original signal? When successful, your results should look something like the following (results may vary slightly): Power of Denoising - Original Denoised Signal value Sample locations In [ ]: * Put your pseudocode, in the form of comments, and code here