This text develops a coherent and structured presentation of the theory and application of statistical signal processing, with emphasis on digital noise reduction algorithms. Noise cancellation is particularly important in the new mobile communications field, with respect to background noise and acoustic noise in moving vehicles. Other applications covered are spectral estimation, channel equalization, speech coding over noisy channels, speech recognition in adverse environments, active noise control, echo cancellation, the restoration of lost filters and adaptive notch filters.
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Illustrationen
Maße
Höhe: 250 mm
Breite: 172 mm
Gewicht
ISBN-13
978-0-471-95875-8 (9780471958758)
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Schweitzer Klassifikation
Introduction to Signal Processing and Noise Reduction; Stochastic Processes and Statistical Characterization of Signals; Signal Transforms; Bayesian Probabilistic Estimation Theory; Wiener Filters and Kalman Filters; Linear Prediction Models; Sample-Adaptive Least Squared Error Filters; Power Spectrum Estimation; Finite-State Statistical Models for Non-stationary Stochastic Processes; Interpolation of a Sequence of Samples; Modelling, Detection and Removal of Impulsive Noise; Spectral Subtraction; Removal of Transient Noise Pulses; Echo Cancellation and Multi-Input Adaptive Noise Reduction; Adaptive Notch Filters; Channel Equalization; Noise Compensation for Speech Recognition in Adverse Environments.
