Lnear prediction theory and the related algorithms have matured to the point where they
now form an integral part of many real-world adaptive systems. When it is necessary to …

New fixed-order fast transversal filter (FTF) algorithms are introduced for several common
windowed recursive-least-squares (RLS) adaptive-filtering criteria. O (N) operations per data …

In this paper, we derive a novel implementation of some very computationally demanding
matched filter-bank-based spectral estimators, namely the amplitude and phase estimator …

A new class of adaptive algorithms for the estimation of FIR transversal filters is presented.
The main characteristic of this class is the fast computation of the gain vector needed for the …

New time-recursive equations are derived for the reflection coefficients and the ladder gains
in the a priori and a posteriori forms of the exact least-squares (LS) lattice-ladder filtering …

This paper proposes two noniterative approaches to solve a symmetric linear system
associated with the fast affine projection adaptation algorithm. The first approach, using …

A new block-type adaptive-filtering algorithm is presented. This new block adaptive filter
differs from the frequency-domain block adaptive filters of Ferrara (1980), and of Clark, Mitra …

This paper offers a unified overview of the algorithms developed for the processing of
'prewindowed'signals. The prewindowing assumption leads to simple and efficient schemes …

In this paper, we develop delta operator based Levinson and Schur type on-line RLS
algorithms. Such algorithms have the potential of improved numerical behavior for ill …

Possibilities and results of (a single channel) linear prediction have been investigated for a
few long time series of hourly, logarithmic, total (seismic+ seismoacoustic) emission energy …