-
Chapter
Application of Geo-Acoustic Inversion Techniques to Subsurface Imaging of Seismic Near Field Scenarios
Subsurface imaging is an important topic in environmental geoscience. The objective is to localize and characterize the underlying earth structure of disposal sites, former military or industrial regions up to...
-
Article
On the direction estimation Cramér-Rao bounds in the presence of uncorrelated unknown noise
The deterministic and stochastic direction estimation Cramér-Rao bounds (CRBs) are studied in the presence of one signal and spatially uncorrelated sensor noise with unknown nonequal variances in array sensors...
-
Chapter
Retrieving Signals from Array Data
This paper deals with statistical methods for processing the output signals of an array of sensors located at different points in a wavefield. The purpose of this signal processing is to obtain insight into th...
-
Chapter
EM Algorithm for Wideband Source Location Estimation
An extended model for the spectral density matrix of the sensor array output for coherent sources (multipath propagation) is introduced. Then we derive an EM iteration scheme for distributions belonging to the...
-
Chapter
Wave Parameters Estimation for Transient Data
We investigate the estimation of wave parameters for transient wavefields in a geophysical application. Models of the earth have to be verified by seismogram analysis. In this paper we show how parameteric met...
-
Article
Fast algorithms and parallel structures for form factor evaluation
Two reduced complexity algorithms that enable the efficient determination of form factors are described. The preliminary complexity computations show that the new methods are at least five times faster than a ...
-
Chapter and Conference Paper
A Linear Systolic Array for the Adaptive MVDR Beamformer
We propose an efficient algorithm and a linear systolic array for the adaptive MVDR (Minimum Variance Distortionless Response) beam-former. We show that the beamformer output can be computed in a fully pipelin...
-
Chapter and Conference Paper
Maximum Likelihood Estimation of Source Locations Using the EM-Algorithm
The source location estimation problem in the presence of partly unknown ambient noise is investigated. We develop accurate and computationally robust maximum likelihood estimates (MLE’s) of the unknown locati...
-
Chapter
Parametric Methods for Estimation of Signals and Noise in Wavefields
The estimation problem of source location parameters has been frequently discussed in the literature. High accuracy and high stability are known properties of conditinal maximum likelihood estimates (CMLE) and...
-
Chapter
Source Parameter Estimation by Approximate Maximum Likelihood
Asymptotic normality of Fourier-transformed outputs of an array of sensors is applied to define approximate likelihood functions to be maximized for source parameter estimation. Usually, the parameters are tho...
-
Chapter and Conference Paper
Interaktive Ortung und Identifizierung von Fischschwärmen
Dieser Bericht stellt ein interaktives adaptives Mensch-Maschine-System zur Ortung und Identifizierung von Fischschwärmen vor, das mit akustischen Sensoren arbeitet und das auf einem modernen Fischerei-Fangsch...
-
Article
Buchbesprechungen
-
Article
Buchbesprechungen
