TigerSHARCProcessorsCode.zip - 2005
Center for Biological & Computational Learning at MIT and MIT
All rights reserved.
Permission to copy and modify this data, software, and its documentation only
for internal research use in your organization is hereby granted, provided
that this notice is retained thereon and on all copies. This data and software
should not be distributed to anyone outside of your organization without
explicit written authorization by the author(s) and MIT. ,2007-03-11 12:43:02,下载9次
RobustlyImplementationoftheAdaptiveInverseControl. - 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.,2007-03-10 17:37:35,下载32次
SubspacebasedblindadaptivemultiuserdetectionusingK - A new blind adaptive multiuser detection scheme based on a hybrid of Kalman filter and
subspace estimation is proposed. It is shown that the detector can be expressed as an anchored
signal in the signal subspace and the coefficients can be estimated by the Kalman filter using only
the signature waveform and the timing of the desired user.,2007-03-10 17:35:34,下载99次
RobustadaptiveKalmanfilteringbasedspeechenhancemen - This paper deals with the problem of speech enhancement when
only a corrupted speech signal is available for processing. Kalman
filtering is known as an effective speech enhancement technique,
in which speech signal is usually modeled as autoregressive (AR)
model and represented in the state-space domain.,2007-03-10 17:33:47,下载48次
RobustadaptiveKalmanfilteringwithunknowninputs.rar - 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.,2007-03-10 17:32:22,下载41次
AnadaptiveKalmanfilterfortheenhancementofspeechsig - This paper deals with the problem of speech enhancement when a
corrupted speech signal with an additive colored noise is the only
information available for processing. Kalman filtering is known as
an effective speech enhancement technique, in which speech signal
is usually modeled as autoregressive (AR) process and represented
in the state-space domain.,2007-03-10 17:30:17,下载61次
Anadaptivefilteringapproachtotargettracking.rar - A method is presented for augmenting an extended
Kalman filter with an adaptive element. The resulting estimator
provides robustness to parameter uncertainty and unmodeled
dynamics.,2007-03-10 17:28:39,下载50次
AnadaptiveKalmanfilterfordynamicharmonicstateestim - 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.,2007-03-10 17:26:49,下载112次
AmultiKalmanfilteringapproachforvideotrackingofhum - A multi-Kalman filtering approach for video tracking of human-delineated objects in cluttered environments is an latest PH.D graduation paper! it give to most needing people.,2007-03-10 17:12:27,下载129次