Question: How would you develop a matlab code in general from number 1 to number 3 problem ? I just need a guideline how to generate

 How would you develop a matlab code in general from numberHow would you develop a matlab code in general from number 1 to number 3 problem ? I just need a guideline how to generate a matlab code.

I. The file "goph 517-1ab-2.data.mat" contains a time vector t,a reflectivity series r and a source wavelet sre. The latter is a Ricker wavelet defined as sre(t) -220 with f-45 and E.-Mxfv2). All three data vectors have the same length and you can assume that the samples in r and sre correspond to the time points in t. The sampling interval dt is constant throughout 2. Determine the total number of samples in the data vectors. For later 0 analysis using fft() and ifft) it will be convenient and efficient if the data vectors have a number of samples that is a power of two. Determine the next highest power of two above the number of samples and "pad" the vectors r and sre by concatenating zeros onto them such that the total number of samples is a power of two. Extend the time vector t 3. Create a new figure() and use the subplot() function to definea grid of axes with one row and five columns. Plot the zero-padded reflectivity series and source wavelet on the first two sets of axes with time increasing downwards on the vertical axis and amplitude on the horizontal axis. Make sure to include meaningful labels on the axes of the plot. Perform the convolution of the reflectivity with the source wavelet in 4. I. The file "goph 517-1ab-2.data.mat" contains a time vector t,a reflectivity series r and a source wavelet sre. The latter is a Ricker wavelet defined as sre(t) -220 with f-45 and E.-Mxfv2). All three data vectors have the same length and you can assume that the samples in r and sre correspond to the time points in t. The sampling interval dt is constant throughout 2. Determine the total number of samples in the data vectors. For later 0 analysis using fft() and ifft) it will be convenient and efficient if the data vectors have a number of samples that is a power of two. Determine the next highest power of two above the number of samples and "pad" the vectors r and sre by concatenating zeros onto them such that the total number of samples is a power of two. Extend the time vector t 3. Create a new figure() and use the subplot() function to definea grid of axes with one row and five columns. Plot the zero-padded reflectivity series and source wavelet on the first two sets of axes with time increasing downwards on the vertical axis and amplitude on the horizontal axis. Make sure to include meaningful labels on the axes of the plot. Perform the convolution of the reflectivity with the source wavelet in 4

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