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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.
Creating Column Vectors: One way to generate a column vector is by explicitly putting the values in square brackets, separated by the semicolons: >> c = [1; 2; 3; 4] c =
Expressions: The Expressions can be formed using values, variables which have already been formed, operators, parentheses, and built-in functions. For numbers, these can invol
Algorithms: Before writing any computer program, it is very useful to first outline the steps which will be essential. An algorithm is the series of steps required to solve a
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draw midpoint circle by matlab
i want to extract an image from its background in matlab..the image is a binary image
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