Mathematics of Signal Representations
Math4355 - Spring 2013 - Homework
Assignment 2, due Thursday, January 31
- Review 0.4, 0.5.1, 0.5.2 and to prepare for Exercise 26, read Section 0.7.1 up Theorem 0.34.
- Do Exercises, p. 36-37: 14; 15; 17; 26 (c) (assuming 26 (a) and (b) are true, solve for m and b
in terms of the data xj and yj);
- (Matlab project) Download the linked file
fitdata.mat (right click and save), load it into Matlab and plot the
function y(x) using the Matlab command plot and the
loaded vectors x and y containing the values for the
independent variable x and the function value y.
Include the plot in your homework. Following the strategy outlined in
Section 0.7.1, write a program (matlab script) that will compute the
least squares fit line f(x)=mx+b to approximate the "noisy"
function values y(x) in fitdata.mat. Attach a printout of
your program to your homework. Combine the plots for the function
y(x) and the fit f(x) in one figure (e.g. using the
Matlab command hold on after performing the first plot).
Record the values of m and b computed by your fit program
in your homework.