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PCG Signal Denoising and Selection Optimal Level and Order

Met opdracht en handtekening van Tanneke Wigersma;...

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Denoising Audio Signal from Various Realistic Noise using Wavelet Transform

and Electricals - Digital signal processing, language: English, abstract: Audio signals are more frequently polluted with various types;

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Phonocardiography Signal Processing

of cardiac acoustics vibration by means of a microphone-transducer. Therefore, understanding the nature and source of this signal is important to;

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Denoising of Photographic Images and Video

This unique text/reference presents a detailed review of noise removal for photographs and video. An international selection of expert;

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Optimal and Adaptive Signal Processing

Optimal and Adaptive Signal Processing covers the theory of optimal and adaptive signal processing using examples and computer simulations;

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Optimal and Adaptive Signal Processing

Optimal and Adaptive Signal Processing covers the theory of optimal and adaptive signal processing using examples and computer simulations;

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Signal Processing for Multistatic Radar Systems

Signal Processing for Multistatic Radar Systems: Adaptive Waveform Selection, Optimal Geometries and Pseudolinear Tracking Algorithms;

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Signal Denoising Techniques for Radar Target Detection

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Procedural Content Generation for Unity Game Development

able to jump in and start learning PCG straightaway. What You Will Learn * Understand the theory of Procedural Content Generation;

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Inpainting and Denoising Challenges

image denoising, retracing and comparing various methods from the pioneer signal processing methods, to machine learning approaches with sparse;

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Inpainting and Denoising Challenges

image denoising, retracing and comparing various methods from the pioneer signal processing methods, to machine learning approaches with sparse;

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Acoustic Sensors for Biomedical Applications

monitoring of some diseases from the phonocardiogram (PCG) signal analysis. Several challenges and future perspectives related to the acoustic;

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Advances in Heuristic Signal Processing and Applications

There have been significant developments in the design and application of algorithms for both one-dimensional signal processing and;

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Recent Trends in Signal and Image Processing

This book gathers selected papers presented at the Third International Symposium on Signal and Image Processing (ISSIP 2020), organized by;

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Towards Managed Primary Care

authors examine the background and development of Primary Care Groups and Primary Care Trusts (PCG/Ts) in the English NHS. The book focuses on the;

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Towards Managed Primary Care

authors examine the background and development of Primary Care Groups and Primary Care Trusts (PCG/Ts) in the English NHS. The book focuses on the;

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Biomedical Signal Processing: Volume 2

, Optimal, and adaptive filtering are examples of such manipulations. The detection of wavelets is of importance in biomedical signals; they can be;

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Biomedical Signal Processing: Volume 2

, Optimal, and adaptive filtering are examples of such manipulations. The detection of wavelets is of importance in biomedical signals; they can be;

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Sparse Image and Signal Processing

This book presents the state of the art in sparse and multiscale image and signal processing, covering linear multiscale transforms, such;

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Lung Sounds

Lung sounds auscultation is often the first noninvasive resource for detection and discrimination of respiratory pathologies available to;

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Neural Engineering Techniques for Autism Spectrum Disorder

, feature selection, and analysis of blood oxygen level-dependent (BOLD) signals are presented for detection and estimation of the degree of ASD;

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Fractional Order Signal Processing

The book tries to briefly introduce the diverse literatures in the field of fractional order signal processing which is becoming an;

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Signal Integrity

signals and supply circuits is developed in order to provide design rules for engineers and Masters-level students. The subjects covered include;

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Broadband Direct RF Digitization Receivers

-interleaved ADC channel mismatches, sampling clock purity and digital channel selection. The system-level framework described is applied to the design;

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Digital Signal Processing with MATLAB Examples, Volume 3: Model-Based Actions and Sparse Representation

, tweets, lung sounds, etc. Both Fourier and wavelet transforms decompose signals into components. Further, both are also invertible, so the;

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Multimedia Signal Processing

Multimedia Signal Processing is a comprehensive and accessible text to the theory and applications of digital signal processing (DSP). The;

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Digital Signal Processing with Matlab Examples, Volume 3

, tweets, lung sounds, etc. Both Fourier and wavelet transforms decompose signals into components. Further, both are also invertible, so the;

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