Analyse de Fourier et applications: exercices corrigés by Robert Dalmasso

By Robert Dalmasso

Gasquet C., Witomski P. examine de Fourier et purposes (Dunod, )(fr)(ISBN 2100050176)(C)(366s)

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1 0 0 2 4 6 8 10 12 14 Now we can see how the cumulative distribution behaves: the first five bins of the distribution contain more than 80% of its values, and the first seven reach above 95%. From that point forward, the distribution reaches its maximum value with very small increments. Notice that we created a new figure to display the two graphs together. As was mentioned previously, the default condition of a Matlab figure is that every time that a graph is generated, it erases whatever it has previously displayed and shows the next graph.

For example, we can concatenate two commands 'mean' in a single instruction like this: 'mean(mean(matrix_9))'. The innermost 'mean' function calculates the average of the columns. The second function calculates the average per row, as the columns will only have one element and you cannot calculate a average of a single element. 5006 As 'matrix_9' has three dimensions, this last instruction has calculated the average value of all the elements and it is equivalent to'mean(matrix_9(:))'. In the same way the average value is calculated, other statistical measurements are easily computed.

In some cases, it may be the case that the image is too big to fit in the screen and will be scaled down. This is one of the properties of the command 'imshow', which is special for images. We can also use the command'imagesc'(image-scale), which provides more options for image analysis: figure imagesc(blood_cells) “9781118657553c02” — 2015/3/25 — 11:15 — page 51 — #7 Introduction to Images 51 200 400 600 800 1000 1200 1400 1600 1800 2000 2200 200 400 600 800 1000 1200 1400 1600 1800 There are some important differences between the commands 'imshow' and 'imagesc'.

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