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For a statistically stationary environment it would be advantageous to use gear shifting, that is to reduce the adaptation gain with time. To illustrate this, try using a varying adaptation gain and observe the results. Also observe the error. If the error is high, what should the adaptation gain be to reduce it? Try incorporating into your program a subroutine which calculates a suitable adaptation gain for the (k+1) coeffcent update based on the kth error.
Note: to compare different methods for choosing the adaptation gain, always initialise the seed before creating a new vector of random numbers, and assume that the maximum permissible overshoot for each coeffcient is 20% of its true value; then compare the different methods, by considering the rise time in each case. The best method will give the shortest rise time.
pairwise sequence alignment
how to make a histogram of data, example x=[5 6 3 2 5] and then find the distribution
Hi I''m wondering if someone can help me with Matlab coursework
clear clc %% DATA INPUT filename = input('Enter file name, including its extension: ', 's'); D = load(filename); %or load('Mphi.out'); %% %Trendline %Evaluates
How to make EMG analysis by Matlab?
program for sweep surface
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Hold and legend function: hold: is a toggle which freezes the present graph in the figure window, so that the new plots will be superimposed on the present one. Just hold
can i post attachments of the assignment? and you do them for me?
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