This a Bayesian ICA algorithm for the linear instantaneous mixing model with additive Gaussian noise [1]. The inference problem is solved by ML-II, i.e. the sources are found by integration over the source posterior and the noise covariance and mixing matrix are found by maximization of the marginal likelihood [1]. The sufficient statistics are estimated by either variational mean field theory with the linear response correction or by adaptive TAP mean field theory [2,3]. The mean field equations are solved by a belief propagation method [4] or sequential iteration. The computational complexity is N M^3, where N is the number of time samples and M the number of sources.
SQLDirect Component Library is a light-weight Borland Database Engine replacement for Borland Delphi v.4 - 9(2005) and C++Builder v.4 - 6. It uses the native application programming interfaces to access to the following SQL-servers: * Centura (formerly, Gupta) SQLBase Server * IBM DB2 Universal Database * Informix Server * Interbase/Firebird Server * Microsoft SQL Server * MySQL Server * Oracle Database Server * PostgreSQL Server * Sybase adaptive Server Enterprise and adaptive Server Anywhere * ODBC datasources * OLEDB datasources
The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller(FCMAC) is proposed to control this cable compensation system. In FCMAC ,without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective.
My (so called) HiP compression algorithm as console mode
utility. It s a hybrid of Lempel-Ziv 77 and adaptive Huffman
encoding (Huffman + LZ77 ZIP = HiP) with a word prefix hash
algorithm etc.
Knowledge of the process noise covariance matrix
is essential for the application of Kalman filtering. However,
it is usually a difficult task to obtain an explicit expression of
for large time varying systems. This paper looks at an adaptive
Kalman filter method for dynamic harmonic state estimation and
harmonic injection tracking.
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.
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.
By building a nonlinear function relationship between an d the error signal，this paper presents a no—
vel variable step size LMS(Least Mean Square)adaptive filtering algorithm．
The subroutines glkern.f and lokern.f use an efficient and fast algorithm for
automatically adaptive nonparametric regression estimation with a kernel method.
Roughly speaking, the method performs a local averaging of the observations when
estimating the regression function. Analogously, one can estimate derivatives of
small order of the regression function.
The Joint Video Team (JVT) of ISO/IEC MPEG and ITU-T VCEG are finalising a new standard for
the coding (compression) of natural video images. The new standard [1] will be known as H.264 and
also MPEG-4 Part 10, “Advanced Video Coding”. The standard specifies two types of entropy coding:
Context-based adaptive Binary Arithmetic Coding (CABAC) and Variable-Length Coding (VLC).
This document provides a short introduction to CABAC. Familiarity with the concept of Arithmetic
Coding is assumed.
