(numbers on articles do not always follow sequentially).

1
AUTHOR: Babu, K. V. S.; Yoganandam, Y.; Reddy, V. U.
TITLE: Adaptive estimation of eigensubspace and tracking the directions of arrival.
SOURCE: Signal Processing v. 68 no3 (Aug. '98) p. 317-39 bibl.
SUBJECT: Adaptive signal processing. Subspaces. Direction of arrival estimation - Mathematical models.

2
AUTHOR: Morhac, Miroslav.; Matousek, Vladislav.
TITLE: Fast adaptive Fourier-based transform and its use in multidimensional data compression.
SOURCE: Signal Processing v. 68 no2 (July '98) p. 141-53 bibl diags.
SUBJECT: Data compression (Information theory). Fourier transform algorithms. Multidimensional signal processing.

5
AUTHOR: Feng, Da-Zheng.; Bao, Zheng.; Jiao, Li-Cheng.
TITLE: Total least mean squares algorithm.
SOURCE: IEEE Transactions on Signal Processing v. 46 no8 (Aug. '98) p. 2122-30 bibl diag.
SUBJECT: Mean square algorithms. Adaptive signal processing. Hebbian rule.

6
AUTHOR: Namba, Munehiro.; Ishida, Yoshihisa.
TITLE: Wavelet transform domain blind deconvolution.
SOURCE: Signal Processing v. 68 no1 (July '98) p. 119-24 bibl diags.
SUBJECT: Eigenvectors. Adaptive equalization. Digital acoustic signal processing.

7
AUTHOR: Chatterjee, Chanchal.; Roychowdhury, Vwani P.
TITLE: On hetero-associative neural networks and adaptive interference cancellation.
SOURCE: IEEE Transactions on Signal Processing v. 46 no6 (June '98) p. 1769-76 bibl diags.
ABSTRACT: Two novel adaptive algorithms for generalized eigendecomposition that are derived from a 2-layer linear feedforward hetero-associative neural network were discussed. These algorithms were used for online multiuser access interference cancellation in code-division-multiple-access- based cellular communications. Numerical simulations demonstrate the rapid convergence of these algorithms. SUBJECT: Adaptive signal processing - Neural network models. Code division multiple access. Interference suppression.

8
AUTHOR: Farina, A.; Valeri, M.
TITLE: Recovery of antenna pattern loss in a search radar.
SOURCE: Signal Processing v. 65 no3 (Mar. '98) p. 329-36 diag.
ABSTRACT: The authors developed an algorithm to estimate the target direction of arrival (TDOA) and determine a set of weights to maximize the signal-to-noise power ratio at the output of a radar receiver. The TDOA is unknown, and the target detection is affected by the antenna pattern loss, which causes an amplitude modulation in the received signal as the antenna pattern sweeps across the target. The algorithm uses this modulation to estimate the TDOA and is verified by a Monte Carlo simulation.
SUBJECT: Signal to noise ratio. Radar detection - Computer simulation. Adaptive signal processing.

9
AUTHOR: Sztipanovits, Janos.; Karsai, Gabor.; Bapty, Ted.
TITLE: Self-adaptive software for signal processing.
SOURCE: Communications of the ACM v. 41 no5 (May '98) p. 66-73 bibl diags.
ABSTRACT: Part of a special section on distributed dynamic systems. The authors describe an approach that demonstrates how an adaptive software architecture can be created and used to solve signal- processing problems. The digital signal processing application discussed is that of the Computer Assisted Dynamic Data Monitoring and Analysis System, which is used by the Air Force and NASA for engine testing. The presented solution constitutes a reflective architecture, as the adaptive software system comprises the model of its own structure, and the system's behavior is changed as changes in the model are detected. SUBJECT: Digital signal processing. Adaptive algorithms. Dynamic models.
 

10
AUTHOR: Stergiopoulos, Stergios.
TITLE: Implementation of adaptive and synthetic-aperture processing schemes in integrated active-passive sonar systems.
SOURCE: Proceedings of the IEEE v. 86 no2 (Feb. '98) p. 358-96 bibl il diags.
ABSTRACT: Progress in the implementation of state-of-the-art signal- processing schemes in sonar systems is limited mainly by the moderate advancements made in sonar computing architectures and the lack of operational evaluation of the advanced processing schemes. Until recently, matrix-based processing techniques, such as adaptive and synthetic-aperture processing, could not be efficiently implemented in the current type of sonar systems, even though it is widely believed that they have advantages that can address the requirements associated with the difficult operational problems that next-generation sonars will have to solve. Interestingly, adaptive and synthetic-aperture techniques may be viewed by other disciplines as conventional schemes. For the sonar technology discipline, however, they are considered as advanced schemes because of the very limited progress that has been made in their implementation in sonar systems. This paper is intended to address issues of implementation of advanced processing schemes in sonar systems and also to see as a brief overview to the principles and applications of advanced sonar signal processing. The main development reported in this paper deals with the definition of a generic beam-forming structure that allows the implementation of nonconventional signal processing techniques in integrated active-passive sonar systems. These schemes are adaptive and synthetic-aperture beam formers that have been shown experimentally to provide improvements in array gain for signals embedded in partially correlated noise fields. Using target tracking and localization results as performance criteria, the impact and merits of these techniques are contrasted with those obtained using the conventional beam former. Copyright 1998, IEEE.
SUBJECT: Digital acoustic signal processing. Synthetic aperture sonar. Frequency estimation. Maximum likelihood method.

15
AUTHOR: Kalluri, Sudhakar.; Arce, Gonzalo R.
TITLE: Adaptive weighted myriad filter algorithms for robust signal processing in a-stable noise environments.
SOURCE: IEEE Transactions on Signal Processing v. 46 (Feb. '98) p. 322- 34 bibl diags.
CONTENTS: feature article
ABSTRACT: The authors developed stochastic gradient-based adaptive algorithms for the optimization of weighted myriad filters. These filters, which form a class of nonlinear filters that are motivated by the properties of a-stable distributions, have been proposed for robust non-Gaussian signal processing in impulsive noise environments. The algorithms were used to obtain the necessary conditions to achieve optimal filter weights under the mean absolute error criterion. A simulation example of low pass filtering of a 1-D chirp-type signal in impulsive noise is provided.
SUBJECT: Adaptive algorithms. Median filters - Mathematical models. Signal processing - Statistical methods.
 

18
AUTHOR: Keerthi, Arvind V.; Mathur, Amit.; Shynk, John J.
TITLE: Misadjustment and tracking analysis of the constant modulus array.
SOURCE: IEEE Transactions on Signal Processing v. 46 (Jan. '98) p. 51- 8 bibl diag.
ABSTRACT: The convergence and tracking properties of the constant modulus (CM) array were analyzed using a least-mean-square approximation. The CM array is a blind adaptive beamformer that can separate cochannel signals. Direction finding of the source can be achieved using a follow-on adaptive signal canceler. Expressions for the misadjustment of the adaptive algorithms were derived and a tracking model was developed to predict the behavior of the system during fades. The adaptive signal canceler was found to contribute more to the overall misadjustment than the adaptive CM beamformer.
SUBJECT: Adaptive signal processing. Tracking algorithms. Beamforming.

19
AUTHOR: Eweda, Eweda.
TITLE: Maximum and minimum tracking performances of adaptive filtering algorithms over target weight cross correlations.
SOURCE: IEEE Transactions on Circuits and Systems. Part II, Analog and Digital Signal Processing v. 45 (Jan. '98) p. 123-32 bibl diag.
ABSTRACT: The authors studied the dependence of the tracking performance of 5 algorithms on the cross correlations among the fluctuations of individual target weights. The algorithms were the least mean-square, recursive least squares, sign, signed regressor, and sign-sign algorithms. For each algorithm, the conditions of the target weight cross correlations that maximize and those that minimize the steady- state excess mean-square error x and the steady-state mean- square weight misalignment h were derived. The relationship between the step sizes mx and mh that minimize x and h, respectively, for given target weight cross correlations was also investigated.
SUBJECT: Adaptive signal processing. Least square algorithms. Adaptive algorithms.
 

20
AUTHOR: Eweda, Eweda.
TITLE: Tracking analysis of the sign algorithm without the Gaussian constraint.
SOURCE: IEEE Transactions on Circuits and Systems. Part II, Analog and Digital Signal Processing v. 45 (Jan. '98) p. 115-22 bibl diags.
ABSTRACT: The author analyzed the sign algorithm (SA) when used to adapt a finite impulse response filter with randomly time-varying target weights. The analysis was carried out under the assumption that positive and negative polarities of the noise were equally probable and that the noise probability density function at the origin existed and was strictly positive. Expressions for the mean square error x and the mean square weight misalignment h were obtained. The tracking performances of the SA and the least mean-square algorithms were also compared.
SUBJECT: Adaptive signal processing. Adaptive algorithms.