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Directivity Based Multichannel Audio Signal Processing For Microphones in Noisy

, narrow-band signal enhancement approaches are combined with broad-band processing in terms of directivity based beamforming. Previously;

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Denoising Audio Signal from Various Realistic Noise using Wavelet Transform

based techniques to estimate the noisy audio signal. One of the transform technique known as wavelet transform will be used for denoising an;

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Audio Source Separation and Speech Enhancement

signals of interest from an audio recording involving several sound sources. These technologies are among the most studied in audio signal;

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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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Sound Capture and Processing

covers the digital signal processing algorithms and devices for capturing sounds, mostly human speech. It explores the devices and technologies;

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Advanced Techniques for Audio Watermarking

signals - both basic and advanced. The author covers various advanced digital audio watermarking algorithms that can be used for copyright;

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Fundamentals Of Statistical Signal Processing

For practicing engineers and scientists who design and analyze signal processing systems, i.e., to extract information from noisy signals;

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EEG Signal Processing

and accuracy which is why multichannel systems and proper signal processing methods are used for feature extraction, feature selection and;

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Advanced Signal Processing and Digital Noise Reduction

of applications in speech technology, audio signal processing, channel equalisation, radar signal processing, pattern analysis, data forecasting, decision;

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Audio Signal Processing

Audio Signal Processing is een boek van Mdpi Ag;

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Latent Variable Analysis and Signal Separation

. They were organized in topical sections named: tensor approaches; from source positions to room properties: learning methods for audio scene;

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Audio Signal Processing And Coding

An in-depth treatment of algorithms and standards for perceptual coding of high-fidelity audio, this self-contained reference surveys and;

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Model-Based Signal Processing

This book contains a unique treatment of signal processing using a model-based perspective. Signal processing is primarily aimed at;

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Computational Intelligence Techniques in Diagnosis of Brain Diseases

This book highlights a new biomedical signal processing method of extracting a specific underlying signal from possibly noisy multi-channel;

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Multimedia Signal Processing

range of important topics are covered in basic signal processing, model-based statistical signal processing and their applications. Part 1;

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Designing Audio Effect Plugins in C++

, downloadable code for dozens of professional audio effect plugins and practically presented algorithms. Sections include the basics of audio signal;

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Designing Audio Effect Plugins in C++

, downloadable code for dozens of professional audio effect plugins and practically presented algorithms. Sections include the basics of audio signal;

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Introduction to Audio Processing

This textbook presents an introduction to signal processing for audio applications. The author's approach posits that math is at the heart;

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Speech and Audio Signal Processing

, beats, and chords from music signals. * Music Information Retrieval, primarily focusing on audio-based genre classification, artist/style;

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Applied Speech And Audio Processing

Applied Speech and Audio Processing is a MATLAB-based, one-stop resource that blends speech and hearing research in describing the key;

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The Digital Signal Processing Handbook - 3 Volume Set

Edition reflects cutting-edge information on signal processing algorithms and protocols related to speech, audio, multimedia, and video processing;

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Video, Speech, and Audio Signal Processing and Associated Standards

information on signal processing algorithms and protocols related to speech, audio, multimedia, and video processing technology associated with;

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Signals and Images

analysis, tensor decomposition with applications in communications, adaptive sparse-interpolated filtering, signal processing for power line;

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Signals and Images

analysis, tensor decomposition with applications in communications, adaptive sparse-interpolated filtering, signal processing for power line;

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A MATLAB-Based FM Demodulator for the Radio Broadcast Data System

A MATLAB(r)-based FM demodulator for the RBDS system was designed to investigate software-based FM demodulator techniques. An overview;

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