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MAILAB Tutorial EXERCISE 17 In Digital Signal Processing, window functions are used to smooth out the data to observe a
Posted: Tue Jul 05, 2022 10:12 am
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- Mailab Tutorial Exercise 17 In Digital Signal Processing Window Functions Are Used To Smooth Out The Data To Observe A 1 (29.36 KiB) Viewed 18 times

- Mailab Tutorial Exercise 17 In Digital Signal Processing Window Functions Are Used To Smooth Out The Data To Observe A 2 (25.66 KiB) Viewed 18 times
MAILAB Tutorial EXERCISE 17 In Digital Signal Processing, window functions are used to smooth out the data to observe a relatively less noisy spectrum. Ask user to enter input data. Also, ask user to choose one of the three window functions as defined below. Generate window vector (same length as the input data vector) and multiply it by the input data vector to get windowed-input data vector. Plot both the input data vector and windowed-input data vector in a single plot using two subplots. Triangular Window: Hamming Window: Hanning Window Note that for each of the window function, N is the length of the vector which is the same as the length of the input data vector, and = 0, 1, 2, 3, ... N-1. Sample Outputs Note: In the following output samples, data vector y-2sin(2000m/8000), where n is 0, 1, 2, 3. 99. STATY
+ 99, >>exercise17 Enter the data vector: y Enter Window function to treat the input data vector 1 for Triangular window, 2 for Hamming window, and 3 for Hanning window: 1 >> kappy Windowed input d +4 Data ang p my 100 front di