工程計(jì)算MATLAB code to calculate the reorthogonalized sine tapers
input: N = the length of the time series data to be tapered
p = the number of tapers requested
I = the gap structure a vector of length N
I(t) = 1 if there is data at time t, t=1, ..., N
I(t) = 0 if there is a gap at time t
output: X = N-by-p vector of the reorthogonalized sine taper
EXAMPLE SOURCE CODE FOR IMPLIB FILTER
This filter accepts input through the standard input stream, convertsit and outputs it to the standard output am. The streams are linkedthrough pipes, such that the input stream is the output from the import librarian being invoked, and the output stream is connected to the message window of the IDE, ie.
EXAMPLE SOURCE CODE FOR TASM FILTER
his filter accepts input through the standard input stream, converts it and outputs it to the standard output stream. The streams are linked
through pipes, such that the input stream is the output from the assembler
being invoked, and the output stream is connected to the message window of the IDE, ie.
support vector classification machine
％ soft margin
％ uses "kernel.m"
％
％ xtrain: (Ltrain,N) with Ltrain: number of points N: dimension
％ ytrain: (Ltrain,1) containing class labels (-1 or +1)
％ xrun: (Lrun,N) with Lrun: number of points N: dimension
％ atrain: alpha coefficients (from svcm_train on xtrain and ytrain)
％ btrain: offest coefficient (from svcm_train on xtrain and ytrain)
％
％ ypred: predicted y (Lrun,1) containing class labels (-1 or +1)
％ margin: (signed) separation from the separating hyperplane (Lrun,1
The standard optimum Kalman filter demands complete
knowledge of the system parameters, the input forcing functions, and
the noise statistics. Several adaptive methods have already been devised
to obtain the unknown information using the measurements and
the filter residuals.
