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Optimal Time-Domain Noise Reduction Filters

all kind of optimal noise reduction filters. Not only that all known algorithms can be deduced from this approach, shedding more light on how;

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A Perspective on Single-Channel Frequency-Domain Speech Enhancement

This book focuses on a class of single-channel noise reduction methods that are performed in the frequency domain via the short-time;

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Speech Enhancement in the Karhunen-Loeve Expansion Domain

optimal filters in the Karhunen-Loeve expansion (KLE) domain. We begin by describing the basic problem of speech enhancement and the fundamental;

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Speech Enhancement in the STFT Domain

problem of multichannel noise reduction in the STFT domain with and without interframe correlation, respectively. In the last category, we;

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DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement

reduce the effects of such disturbances is through the use of single-microphone noise reduction algorithms for speech enhancement. The field;

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Fundamentals of Speech Enhancement

. The book unifies all aspects of speech enhancement, from single channel, multichannel, beamforming, time domain, frequency domain and time;

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An Empirical Study of Periodic noise filtering in Fourier domain

domain. The book also explores a novel machine learning (Bagging) based periodic noise removal technique. The method can be used as an automated;

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A Perspective on Single-channel Frequency-domain Speech Enhancement

This book focuses on a class of single-channel noise reduction methods that are performed in the frequency domain via the short-time;

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Advanced Digital Signal Processing and Noise Reduction

process. The observation signals are often distorted, incomplete and noisy and therefore noise reduction, the removal of channel distortion, and;

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Attenuation of Incoherent Seismic Noise

reduction approaches and their drawbacks, focusing on developments that have occurred in the past decade. The main features of this book;

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Attenuation of Incoherent Seismic Noise

reduction approaches and their drawbacks, focusing on developments that have occurred in the past decade. The main features of this book;

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Optimal Filtering

This graduate-level text augments and extends beyond undergraduate studies of signal processing,;...

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Identification Of Time-Varying Processes

telecommunications (channel equalization, predictive coding of signals, adaptive noise reduction and echo cancellation) and automatic control (adaptive;

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Climbing from the Fifth Station

-C and Gm-C filters, current-mode continuous-time filters, log-domain filters, switched-current filters, adaptive filters and on-chip;

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Broadband Array Processing

beamformers. Chapter 1 includes background information on array processing, while Chapters 2 and 3 discuss the DFT-based frequency-domain;

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Vehicle Gearbox Noise and Vibration

vibration testing. Vehicle Gearbox Noise and Vibration: Measurement, Signal Analysis, Signal Processing and Noise Reduction Measures addresses this;

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Digital Filter Design and Realization

-Domain Digital Filter Design Time-Domain Digital Filter Design Interpolated and Frequency-Response-Masking FIR Digital Filter Design;

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Noise Reduction

Noise Reduction is een boek van Leo L. Beranek;

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Higher Order S-To-Z Mapping Functions for Digital Filters

transformation. This book deals with conversions from analog domain into digital domain by higher order s-to-z transformations. By using higher order;

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Discrete Stochastic Processes and Optimal Filtering

Optimal filtering applied to stationary and non-stationary signals provides the most efficient means of dealing with problems arising from;

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Discrete Stochastic Processes and Optimal Filtering

Optimal filtering applied to stationary and non-stationary signals provides the most efficient means of dealing with problems arising from;

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Vibration and Noise Reduction in Planetary Gear Train by Phasing

Vibration and Noise Reduction in Planeta is een boek van Ashutosh Mokate;

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Adaptive Filters

: Offers a thorough treatment of the theory of adaptive signal processing; incorporating new material on transform domain, frequency domain;

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Array Beamforming with Linear Difference Equations

evaluate beamformers or to derive optimal beamformers. Then, first-order, second-order, and general high-order linear difference equations are;

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Noise Reduction in Speech Applications

the implementation of the technology has become practical. Noise Reduction in Speech Applications provides a comprehensive introduction to;

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Analog Electronic Filters

reduction, demodulation, signal detection, multiplexing, sampling, sound and speech processing, transmission line equalization and image processing;

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Environmental Methods for Transport Noise Reduction

reduction. Environmental Methods for Transport Noise Reduction presents the main findings of the Holistic and Sustainable Abatement of Noise by;

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