Introduction to Random Signals and Applied Kalman Filtering,4版

clear %This file is for Problem 1.32. %You will need the special functions for n = 1, 2, 4, and 16 degrees- %of-freedom (DOF) chi-square densities for plotting. These are %provided in files chisq1.m, chisq2.m, chisq4.m, chisq16.m. %You will also need the general normal density function with mean %mn and standard deviation sigma, and this is provided as a MATLAB %function function gauss(x,mn,sigma). Use of this function is simi- %lar to the usual built-in MATLAB functions such as sin(x), cos(x), %etc, except that the 2nd and 3rd arguments (which are scalars) %must also be specified when calling gauss(x,mn,sigma). The 1st %argument x is, in general, a vector and it is treated the same %here as in any of the built-in single variable functions. %This problem is a plotting exercise. Try these statements %for part (a): x=.25:.25:10; plot(x,chisq1(x),x,chisq2(x),x,chisq4(x)) title('Press ENTER to Continue') pause %A scale change is needed for part (b). Try: x=0:.5:40; mn=16 sigma=sqrt(32) plot(x,gauss(x,mn,sigma),x,chisq16(x)) title('Press ENTER to end Problem 1.42')