Filtering in the Time and Frequency Domains

Filtering in the Time and Frequency Domains

Author: Herman J. Blinchikoff

Publisher: SciTech Publishing

Published: 2001-06-30

Total Pages: 528

ISBN-13:

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In Chapter 1, using the differential equation as the fundamental system description, we show how to obtain the filtering functions associated with physical systems; namely, the impulse response, step response, weighting function, and convolution integral. Chapter 2 introduces the Fourier and Laplace transforms, which lead to the frequency-domain system descriptions including the transfer function, magnitude response, phase response, and group-delay response. An introduction to the Hilbert transform, which is useful for relating specific network functions. In chapter 3 theoretical and realizable lowpass responses, including limitations in the time and frequency domains, are discussed. In Chapter 4 we concentrate on the transformation of the normalized lowpass prototype into other filter types. The narrowband and bandpass filter is discussed in detail because its analysis is applicable to crystal, helical, coaxial cavity, stripline, interdigital, and waveguide filters. In chapter 5 we consider the all-pass function, a function that is useful for phase and group delay equalization and for the simulation of specified delay. In chapter 6 we discuss the finite Q elements and predistortion. In chapter 7 we switch the focus from classical filter treatment to a consideration of the filtering of signals in a noisy environment, in particular, the matched filter. In chapter 8 we discuss the two methods of time-domain synthesis, the quasi-stationary approach to the analysis of linear systems excited by modulated inputs, and the subject of average time delay. Chapter 9 is devoted to digital filtering and includes a discussion of the z-transform


Introduction to Digital Filters

Introduction to Digital Filters

Author: Julius Orion Smith

Publisher: Julius Smith

Published: 2007

Total Pages: 481

ISBN-13: 0974560715

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A digital filter can be pictured as a "black box" that accepts a sequence of numbers and emits a new sequence of numbers. In digital audio signal processing applications, such number sequences usually represent sounds. For example, digital filters are used to implement graphic equalizers and other digital audio effects. This book is a gentle introduction to digital filters, including mathematical theory, illustrative examples, some audio applications, and useful software starting points. The theory treatment begins at the high-school level, and covers fundamental concepts in linear systems theory and digital filter analysis. Various "small" digital filters are analyzed as examples, particularly those commonly used in audio applications. Matlab programming examples are emphasized for illustrating the use and development of digital filters in practice.


Fundamentals of Clinical Data Science

Fundamentals of Clinical Data Science

Author: Pieter Kubben

Publisher: Springer

Published: 2018-12-21

Total Pages: 219

ISBN-13: 3319997130

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This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.


Fundamentals of Electrical Engineering I

Fundamentals of Electrical Engineering I

Author: Don Johnson

Publisher: Orange Grove Texts Plus

Published: 2009-09-24

Total Pages: 0

ISBN-13: 9781616100377

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The text focuses on the creation, manipulation, transmission, and reception of information by electronic means. Contents: 1) Introduction. 2) Signals and Systems. 3) Analog Signal Processing. 4) Frequency Domain. 5) Digital Signal Processing. 6) Information Communication. 7) Appendices: Decibels; Permutations and Combinations, Frequency Allocations.


Routine Data Processing in Earthquake Seismology

Routine Data Processing in Earthquake Seismology

Author: Jens Havskov

Publisher: Springer Science & Business Media

Published: 2010-06-16

Total Pages: 350

ISBN-13: 9048186978

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The purpose of this book is to get a practical understanding of the most common processing techniques in earthquake seismology. The book deals with manual methods and computer assisted methods. Each topic will be introduced with the basic theory followed by practical examples and exercises. There are manual exercises entirely based on the printed material of the book, as well as computer exercises based on public domain software. Most exercises are computer based. The software used, as well as all test data are available from http://extras.springer.com. This book is intended for everyone processing earthquake data, both in the observatory routine and in connection with research. Using the exercises, the book can also be used as a basis for university courses in earthquake processing. Since the main emphasis is on processing, the theory will only be dealt with to the extent needed to understand the processing steps, however references will be given to where more extensive explanations can be found. Includes: • Exercises • Test data • Public domain software (SEISAN) available from http://extras.springer.com


Explorations in Time-Frequency Analysis

Explorations in Time-Frequency Analysis

Author: Patrick Flandrin

Publisher: Cambridge University Press

Published: 2018-09-06

Total Pages: 231

ISBN-13: 1108421024

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Understand the methods of modern non-stationary signal processing with authoritative insights from a leader in the field.


Window Functions and Their Applications in Signal Processing

Window Functions and Their Applications in Signal Processing

Author: K. M. M. Prabhu

Publisher: CRC Press

Published: 2018-09-03

Total Pages: 404

ISBN-13: 1466515848

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Window functions—otherwise known as weighting functions, tapering functions, or apodization functions—are mathematical functions that are zero-valued outside the chosen interval. They are well established as a vital part of digital signal processing. Window Functions and their Applications in Signal Processing presents an exhaustive and detailed account of window functions and their applications in signal processing, focusing on the areas of digital spectral analysis, design of FIR filters, pulse compression radar, and speech signal processing. Comprehensively reviewing previous research and recent developments, this book: Provides suggestions on how to choose a window function for particular applications Discusses Fourier analysis techniques and pitfalls in the computation of the DFT Introduces window functions in the continuous-time and discrete-time domains Considers two implementation strategies of window functions in the time- and frequency domain Explores well-known applications of window functions in the fields of radar, sonar, biomedical signal analysis, audio processing, and synthetic aperture radar


Analyzing Neural Time Series Data

Analyzing Neural Time Series Data

Author: Mike X Cohen

Publisher: MIT Press

Published: 2014-01-17

Total Pages: 615

ISBN-13: 0262019876

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A comprehensive guide to the conceptual, mathematical, and implementational aspects of analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings. This book offers a comprehensive guide to the theory and practice of analyzing electrical brain signals. It explains the conceptual, mathematical, and implementational (via Matlab programming) aspects of time-, time-frequency- and synchronization-based analyses of magnetoencephalography (MEG), electroencephalography (EEG), and local field potential (LFP) recordings from humans and nonhuman animals. It is the only book on the topic that covers both the theoretical background and the implementation in language that can be understood by readers without extensive formal training in mathematics, including cognitive scientists, neuroscientists, and psychologists. Readers who go through the book chapter by chapter and implement the examples in Matlab will develop an understanding of why and how analyses are performed, how to interpret results, what the methodological issues are, and how to perform single-subject-level and group-level analyses. Researchers who are familiar with using automated programs to perform advanced analyses will learn what happens when they click the “analyze now” button. The book provides sample data and downloadable Matlab code. Each of the 38 chapters covers one analysis topic, and these topics progress from simple to advanced. Most chapters conclude with exercises that further develop the material covered in the chapter. Many of the methods presented (including convolution, the Fourier transform, and Euler's formula) are fundamental and form the groundwork for other advanced data analysis methods. Readers who master the methods in the book will be well prepared to learn other approaches.


Parametric Time-Frequency Domain Spatial Audio

Parametric Time-Frequency Domain Spatial Audio

Author: Ville Pulkki

Publisher: John Wiley & Sons

Published: 2017-12-26

Total Pages: 410

ISBN-13: 1119252598

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A comprehensive guide that addresses the theory and practice of spatial audio This book provides readers with the principles and best practices in spatial audio signal processing. It describes how sound fields and their perceptual attributes are captured and analyzed within the time-frequency domain, how essential representation parameters are coded, and how such signals are efficiently reproduced for practical applications. The book is split into four parts starting with an overview of the fundamentals. It then goes on to explain the reproduction of spatial sound before offering an examination of signal-dependent spatial filtering. The book finishes with coverage of both current and future applications and the direction that spatial audio research is heading in. Parametric Time-frequency Domain Spatial Audio focuses on applications in entertainment audio, including music, home cinema, and gaming—covering the capturing and reproduction of spatial sound as well as its generation, transduction, representation, transmission, and perception. This book will teach readers the tools needed for such processing, and provides an overview to existing research. It also shows recent up-to-date projects and commercial applications built on top of the systems. Provides an in-depth presentation of the principles, past developments, state-of-the-art methods, and future research directions of spatial audio technologies Includes contributions from leading researchers in the field Offers MATLAB codes with selected chapters An advanced book aimed at readers who are capable of digesting mathematical expressions about digital signal processing and sound field analysis, Parametric Time-frequency Domain Spatial Audio is best suited for researchers in academia and in the audio industry.


Audio Source Separation and Speech Enhancement

Audio Source Separation and Speech Enhancement

Author: Emmanuel Vincent

Publisher: John Wiley & Sons

Published: 2018-10-22

Total Pages: 517

ISBN-13: 1119279895

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Learn the technology behind hearing aids, Siri, and Echo Audio source separation and speech enhancement aim to extract one or more source signals of interest from an audio recording involving several sound sources. These technologies are among the most studied in audio signal processing today and bear a critical role in the success of hearing aids, hands-free phones, voice command and other noise-robust audio analysis systems, and music post-production software. Research on this topic has followed three convergent paths, starting with sensor array processing, computational auditory scene analysis, and machine learning based approaches such as independent component analysis, respectively. This book is the first one to provide a comprehensive overview by presenting the common foundations and the differences between these techniques in a unified setting. Key features: Consolidated perspective on audio source separation and speech enhancement. Both historical perspective and latest advances in the field, e.g. deep neural networks. Diverse disciplines: array processing, machine learning, and statistical signal processing. Covers the most important techniques for both single-channel and multichannel processing. This book provides both introductory and advanced material suitable for people with basic knowledge of signal processing and machine learning. Thanks to its comprehensiveness, it will help students select a promising research track, researchers leverage the acquired cross-domain knowledge to design improved techniques, and engineers and developers choose the right technology for their target application scenario. It will also be useful for practitioners from other fields (e.g., acoustics, multimedia, phonetics, and musicology) willing to exploit audio source separation or speech enhancement as pre-processing tools for their own needs.