MULTIDIMENSIONAL SCALING in matlab by Mark Steyvers 1999
％needs optimization toolbox
％Modified by Bruce Land
％--Data via globals to anaylsis programs
％--3D plotting with color coded groups
％--Mapping of MDS space to spike train temporal profiles as described in
％Aronov, et.al. "Neural coding of spatial phase in V1 of the Macaque" in
％press J. Neurophysiology
This paper addresses the issues relating to the
enforcement of robust stability when implementing the Adaptive
Inverse Control (AIC) scheme. In this scheme, an adaptive
FIR filter is added to a closed-loop system in order to
reduce the output error caused by external disturbances,
enhancing the performance achieved by linear time-invariant
controllers alone.
This folder contains all the codes based on Matlab Language for the book <《Iterative Methods for Linear and Nonlinear Equations》, and there are totally 21 M files, which can solve most of linear and nonlinear equations problems.
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!-- Fortran code for FDTD with Berenger PMLs, version 1.0, May 1999
!-- by Jos Bergervoet.
!-- Plot field and/or Poynting vector S around radiating linear dipole
vTools is a toolbox for Matlab 5.3 developed
within the Department of Electrical Systems and
Automation (DSEA) of the University of Pisa (Italy)
with the aim to offering to the Matlab users
(especially control engineers and control
engineering students) a completely graphical
toolbox for linear system analysis and robust
control synthesis
Some algorithms of variable step size LMS adaptive filtering are studied．The VS—LMS algorithm is improved．
Another new non-linear function between肛and e(／ t)is established．The theoretic analysis and computer
simulation results show that this algorithm converges more quickly than the origina1．Furthermore，better antinoise
property is exhibited under Low—SNR environment than the original one．
In 1960, R.E. Kalman published his famous paper describing a recursive solution
to the discrete-data linear filtering problem. Since that time, due in large part to advances
in digital computing, the Kalman filter has been the subject of extensive research
and application, particularly in the area of autonomous or assisted
navigation.
