Given the data set A = {0, 0, 12, 13, 14, 15, 16, 18, 22, 25, 30} the mean is , the median is , and the mode is
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Given the data set
A = {0, 0, 12, 13, 14, 15, 16, 18, 22, 25, 30}
the mean is , the median is , and the mode is
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- 8- 1 2 3 Gaussian Kernel 12 22 15 14 20 1 12 17 22 1 24 0.0275 0.1102 0.0275 13 33 24 27 24 0.1102 0.4421 0.1102 14 16 30 33 23 0.0275 0.1102 0.0275 16 12 39 43 22 5 17 12 34 34 12 If you apply Gaussian Smoothing Filter to the above image, what are the approximate values for the following pixels: IMG(2,1) IMG(3,2) IMG(3,3) Hint: pixles oreder is IMG(y,x) a) O 29 - 33 - 31 b) 24 29 - 31 O 24 - 31 29 - d) O 21 - 22 - 31 O Boş bırak 4- 2. 3. 4-Minimize the function using kmap F (ABCD)=€(0,1,2,4,6,8,9) Sop expression.in Q1 it is 8-bit image not 4-bit image.
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- Write MATLAB code that will plot the function x² - 10x + 25 over the x values 0 to 10 on a regular plot (use the command plot) using 21 evenly spaced points with the linspace command in one subplot and then for the second subplot, plot the same function over the x values 10-¹ to 10 ¹ using 21 evenly spaced points on a semi logarithmic plot (use the command semilogx). Put markers on each point used in the calculations (using a circle, x, or +, your choice) using a different marker and color for each plot, and include axis labels on each subplot. If the code is written correctly, your subplots should appear like the ones below. 25 y-axis 20 15 10 X 5 0 0 2 4 x-axis 6 8 10 25 PO 20 y-axis 15 10 5 0 10-1 O Copy/paste your code that will create the subplots in the text box below. 0 0 0 0 0 0 0 10⁰ x-axis 0 0 0 0 0 10¹Which of the data transformation operation fails or operations fail for positive variables? I taking z-scores then taking logarithms Il taking logarithms and then taking z-scores III taking 0-1 normalization and then taking logarithms a. I, Il and II O b. only I and III ony II and III O d. only I and IIThe input is a 20×20 matrix and the filter (aka kernel) is a 5×5 matrix. We set stride = 1 and no zero-padding. What is the shape of the output matrix