T 1- In your Matlab command shell type ex_gstutz (it should work from version R20200 and above). Now you need to customi

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answerhappygod
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T 1- In your Matlab command shell type ex_gstutz (it should work from version R20200 and above). Now you need to customi

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T 1 In Your Matlab Command Shell Type Ex Gstutz It Should Work From Version R20200 And Above Now You Need To Customi 1
T 1 In Your Matlab Command Shell Type Ex Gstutz It Should Work From Version R20200 And Above Now You Need To Customi 1 (103.46 KiB) Viewed 44 times
Please solve the last part (9).
T 1- In your Matlab command shell type ex_gstutz (it should work from version R20200 and above). Now you need to customize the model. 2. You need to add an extra DSP Sine Wave block (similar to the one already in the model). Apply the following features to the new block: Amplitude: Your birth day (only day). Frequency: Your birth month 0.1 Phase offset: the last digit of your year of birth Sample Time: The fourth digit of your student ID (if O choose the fifth one) <0.01. eg. if your birthday is 13/3/1994 and your student ID is 3345043 Amplitude: 13 Frequency: 0.3 Phase offset: Sample Time: 0.05 3- Using the sum block add the new DSP sine wave to the existing sine wave. The sum of the new block and the existing block will be the first input of the scope. 4 Make sure you apply the noise to the new signal which is the sum of your customized DSP sine wave and the existing sine wave. 5. After running the model, double click on the scope and take a snapshot of what you have as the original DSP signal and the noisy signal. 6- Similar to what you did in tutorial 3, convert white noise to low frequency noise and attach the filter in our original model with the following parameters: Response Type = Lowpass Design Method = FIR and, from the list, choose Window Filter Order = Specify order and enter 31 Scale Passband - Cleared Window = Hamming Units = Normalized 0 to 1) wc = 0.5 7- Similar to what you did in tutorial 3 use a Normalized LMS Adaptive Filter. 8- Follow every single step as mentioned in tutorial 3. Use the same parameter for your LMS filter. Show the final filtered signal and error signal. (9 marks, 6 marks) 9. Now you need to replace the LMS filter to a new filter of your choice. It is totally up to you what filter you would like to use as long as it filters the noise. (5 marks, 3 marks)
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