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Statistische Informationstechnik: Signal - Und Mustererkennung, Parameter- Und Signalschätzung
Hardcover
Technology & EngineeringGeneral ComputersProbability & Statistics
ISBN13: 9783642159534
Publisher: Springer
Published: Feb 2 2011
Pages: 372
Weight: 1.58
Height: 0.88 Width: 6.14 Depth: 9.21
Language: German
Die 5. Auflage des Klassikers zur Statistischen Informationstechnik erfährt eine substantielle Erweiterung im Bereich des maschinellen Lernens. Sie bietet somit einen ausgezeichneten Überblick über die beiden wichtigen Themen Mustererkennung/Signalverarbeitung und Maschinelles Lernen.
Die Autoren behandeln die Signalerkennung im Rauschen und die Mustererkennung sowie die Parameter- und Signalschätzung. Moderne Verfahren wie Wavelet-Transformation oder Clusterbildung mit unscharfen Partitionen werden berücksichtigt. Neben klassischen Verfahren der Detektion werden neuere, z.B. auf neuronale Netze und kernelbasierten Methoden aufbauende Klassifikatoren diskutiert.
Die Parameterschätzung behandelt neben Bayes- und Maximum-Likelihood-Ansätzen auch adaptive Verfahren. Wiener- und Kalman-Filter sind Beispiele zur Signalschätzung. Die Grundlagen werden durch Anwendungsbeispiele aus der Praxis erläutert.
Geeignet für Studierende und für Ingenieure in der Praxis.
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