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This assignment is designed to compare performance between Matlab and Excel for performing nonlinear regression analysis of a set of data.
There are two data sets in the accompanying Excel spreadsheet, the cell migration data, and a noisy sine wave. The first set was collected by Dr. Cho, and represents the X and Y coordinates of a cell as it migrates across a substrate in culture. Your job is to find an equation that describes the position of the cell as a function of time. Use a polynomial of the lowest order possible such that R2(r squared)> 0.95. Do this in Excel and in Matlab, and hand in both plots along with your equations and R2(r squared) values for each determination.
Also fit a polynomial to the noisy sine wave. Find the polynomial of lowest order such that R2(r squared)> 0.95. Do this with both Excel and Matlab.
i want to extract an image from its background in matlab..the image is a binary image
An FIR filter has coefficients b = [ 1.0000 -0.6387 1.0214 0.8210 -0.7470 1.0920 ] (a) Find H(z) for the filter and plot its frequency response (magnitude and phase
Given , provide solutions for the following systems of equations a) , 1.0 10.5 0.5 9 0.5 3.25 5.25 2.5 2 13 5 6 ? ? ? ? ? ? ? ? ? ? ? A ? ? ? ? ? ? ? ? ? ? ? ? 3 7 16 b b) , 1.0 10
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I have a biological signal need to be shifted by 12.5 ms and then add all the shefted signals together
1. Write a function to threshold your images separating the background from the foreground: Implement the "peakiness" detection algorithm described in class. The output of your
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Compare results/performance with tridiagonal Gaussian elimination solver for the problem arising from -y''=f on (0,1) with y(0)=0=y(1). You may also need to use sparse storage an
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