Tag Archives: Algorithms

Study and Design of Differential Microphone Arrays

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Jacob Benesty, Jingdong Chen, "Study and Design of Differential Microphone Arrays"
English | 2013 | ISBN-10: 364233752X, 3642427561 | 180 pages | PDF | 6 MB

Study and Design of Differential Microphone Arrays
Microphone arrays have attracted a lot of interest over the last few decades since they have the potential to solve many important problems such as noise reduction/speech enhancement, source separation, dereverberation, spatial sound recording, and source localization/tracking, to name a few. However, the design and implementation of microphone arrays with beamforming algorithms is not a trivial task when it comes to processing broadband signals such as speech. Indeed, in most sensor arrangements, the beamformer output tends to have a frequency-dependent response. One exception, perhaps, is the family of differential microphone arrays (DMAs) who have the promise to form frequency-independent responses. Moreover, they have the potential to attain high directional gains with small and compact apertures. As a result, this type of microphone arrays has drawn much research and development attention recently. This book is intended to provide a systematic study of DMAs from a signal processing perspective. The primary objective is to develop a rigorous but yet simple theory

for the design, implementation, and performance analysis of DMAs. The theory includes some signal processing techniques for the design of commonly used first-order, second-order, third-order, and also the general Nth-order DMAs. For each order, particular examples are given on how to form standard directional patterns such as the dipole, cardioid, supercardioid, hypercardioid, subcardioid, and quadrupole. The study demonstrates the performance of the different order DMAs in terms of beampattern, directivity factor, white noise gain, and gain for point sources. The inherent relationship between differential processing and adaptive beamforming is discussed, which provides a better understanding of DMAs and why they can achieve high directional gain. Finally, we show how to design DMAs that can be robust against white noise amplification.
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Oxford Handbook of Paediatrics, 2 edition

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Robert C. Tasker, "Oxford Handbook of Paediatrics, 2 edition"
English | ISBN: 019960830X, 0191503053 | 2013 | 1120 pages | PDF | 6 MB

Oxford Handbook of Paediatrics, 2 edition
Now fully revised and updated with the latest guidelines, this new edition of the Oxford Handbook of Paediatrics is a compact guide to all aspects of acute and chronic paediatrics. The handbook's team of specialist contributors and editors have successfully condensed many years of clinical experience into a pocket-sized compendium of clinical problems and treatment options. Taking a child-centred approach to the subject, the authors have provided comprehensive coverage of areas such as neonatology, surgery, genetics and congenital malformations, and child protection in a user-friendly and succinct style. Sections are also devoted to covering the treatment of children in the community, and the psychological effects of illness on both the child and their family. All chapters have been updated for this new edition, with completely overhauled chapters on neurology and respiratory medicine, the latest management guidelines on inherited metabolic disease, further information on medical and research ethics, and enhanced usage of diagnostic and treatment algorithms. With practical advice and space for personalized notes, this handbook will be invaluable to all those involved in the care of the younger patient.
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“Advances in Evolutionary Algorithms” ed. by Witold Kosinski

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"Advances in Evolutionary Algorithms" ed. by Witold Kosinski
InTeOpP | 2008 | ISBN: 9537619117 9789537619114 | 4786 pages | PDF | 47 MB
Aim of the book is to present recent improvements, innovative ideas and concepts in a part of a huge Evolutionary Algorithms field.

“Advances in Evolutionary Algorithms” ed. by Witold Kosinski
With the recent trends towards massive data sets and significant computational power, combined with evolutionary algorithmic advances evolutionary computation is becoming much more relevant to practice.

Part I: Foundations and New Methods
1 Limit Properties of Evolutionary Algorithms
2 Evolutionary Systems Identification: New Algorithmic Concepts and Applications
3 FPBIL: A Parameter-free Evolutionary Algorithm
Part II: Hybrid and Harmony Search
5 An Adaptive Evolutionary Algorithm Combining Evolution Strategy and Genetic Algorithm (Application of Fuzzy Power System Stabilizer)
6 A Simple Hybrid Particle Swarm Optimization
7 Pxecent Advances in Harmony Search
A Hybrid Evolutionary Algorithm and its Application to Parameter Identification of Rolling Elements Bearings
9 Domain Decomposition Evolutionary Algorithm for Multi-Modal Function Optimization
Part III: Dynamic Environment and Multi-Objective Optimization
10 Evolutionary Algorithms with Dissortative Mating on Static and Dynamic Environments
11 Adapting Genetic Algorithms for Combinatorial Optimization Problems in Dynamic Environments
12 Agent-Based Co-Evolutionary Techniques for Solving Multi-Objective Optimization Problems
13 Evolutionary Multi-Objective PxObust Optimization
14 Improving InterpretabiIity of Fuzzy Models Using Multi-Objective Neuro-Evolutionary Algorithms
15 Multi-objective Uniform-divers ity Genetic Algorithm (MUG A)
16 EA-based Problem Solving Environment over the GRID
Part IV: Applications
17 Evolutionary Methods for Learning Bayesian Network Structures
18 Design of Phased Antenna Arrays using Evolutionary Optimization Techniques
19 Design of an Efficient Genetic Algorithm to Solve the Industrial Car Sequencing Problem
20 Symbiotic Evolution Genetic Algorithms for Reinforcement Fuzzy Systems Design
21 Evolutionary Computation Applied to Urban Traffic Optimization
22 Evolutionary Algorithms in Decision Tree Induction
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A First Course in Database Systems, 3rd edition

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A First Course in Database Systems, 3rd edition By Jeffrey D. Ullman, Jennifer Widom
2008 | 592 Pages | ISBN: 013600637X | scanned PDF | 78 MB

A First Course in Database Systems, 3rd edition
For Database Systems and Database Design and Application courses offered at the junior, senior, and graduate levels in Computer Science departments.
Written by well-known computer scientists, this accessible and succinct introduction to database systems focuses on database design and use. The authors provide in-depth coverage of databases from the point of view of the database designer, user, and application programmer, leaving implementation for later courses. It is the first database systems text to cover such topics as UML, algorithms for manipulating dependencies in relations, extended relational algebra, PHP, 3-tier architectures, data cubes, XML, XPATH, XQuery, XSLT.
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Management of CNS Tumors by Miklos Garami

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Management of CNS Tumors by Miklos Garami
English | September, 2011 | ISBN 13: 9789533076461 | 474 Pages | PDF | 52 MB
Management of CNS Tumors is a selected review of Central Nervous System (CNS) tumors with particular emphasis on pathological classification and complex treatment algorithms for each common tumor type. Additional detailed information is provided on selected CNS tumor associated disorders.

Management of CNS Tumors by Miklos Garami
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“Trends in Neural Computation” ed. by Ke Chen, Lipo Wang

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"Trends in Neural Computation" ed. by Ke Chen, Lipo Wang
Studies in Computational Intelligence, Volume 35
S?ring?r | 2007 | ISBN: 3540361219 9783540361213 | 510 pages | PDF | 16 MB
This book reflects the progresses made in different areas of neural computation, including theoretical neural computation, biologically plausible neural modeling, computational cognitive science, artificial neural networks architectures and learning algorithms and their applications in real-world problems.

“Trends in Neural Computation” ed. by Ke Chen, Lipo Wang
Tte book includes twenty chapters either contributed from leading experts or formed by extending well selected papers presented in the 2005 International Conference on Natural Computation.

1 Hyperbolic Function Networks for Pattern Classification
2 Variable Selection for the Linear Support Vector Machine
3 Selecting Data for Fast Support Vector Machines Training
4 Universal Approach to Study Delayed Dynamical Systems
5 A Hippocampus-Neocortex Model for Chaotic Association
6 Latent Attractors: A General Paradigm for Context-Dependent Neural Computation
7 Learning Mechanisms in Networks of Spiking Neurons
8 GTSOM: Game Theoretic Self-organizing Maps
9 How to Generate Different Neural Networks
10 A Gradient-Based Forward Greedy Algorithm for Space Gaussian Process Regression
11 An Evolved Recurrent Neural Network and Its Application
12 A Min-Max Modular Network with Gaussian-Zero-Crossing Function
13 Combining Competitive Learning Networks of Various Representations for Sequential Data Clustering
14 Modular Neural Networks and Their Applications in Biometrics
15 Performance Analysis of Dynamic Cell Structures
16 Short Term Electric Load Forecasting: A Tutorial
17 Performance Improvement for Formation-Keeping Control Using a Neural Network HJI Approach
18 A Robust Blind Neural Equalizer Based on Higher-Order Cumulants
19 The Artificial Neural Network Applied to Servo Control System
20 Robot Localization Using Vision
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“Advances in Electrocardiograms: Methods and Analysis” ed. by Richard M. Millis

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"Advances in Electrocardiograms: Methods and Analysis" ed. by Richard M. Millis
InTeOpP | 2012 | ISBN: 9533079231 9789533079233 | 401 pages | PDF | 20 MB
This volume lays the groundwork for understanding the technical aspects of these advancements. This volume is complemented with anatomical diagrams, electrocardiogram recordings, flow diagrams and algorithms which demonstrate the most modern principles of electrocardiography. The five sections of this volume, Cardiac Anatomy, ECG Technique, ECG Features, Heart Rate Variability and ECG Data Management, provide comprehensive reviews of advancements in the technical and analytical methods for interpreting and evaluating electrocardiograms.

“Advances in Electrocardiograms: Methods and Analysis” ed. by Richard M. Millis
The chapters which form this volume describe how the technical impediments inherent to instrument-patient interfacing, recording and interpreting variations in electrocardiogram time intervals and morphologies, as well as electrocardiogram data sharing have been effectively overcome. The advent of novel detection, filtering and testing devices are described. Foremost, among these devices are innovative algorithms for automating the evaluation of electrocardiograms.

Part 1 Cardiac Structure and Function
1 Cardiac Anatomy
Part 2 ECG Technique
2 Low-Frequency Response and the Skin-Electrode Interface in Dry-Electrode Electrocardiography
3 Implantation Techniques of Leads for Left Ventricular Pacing in Cardiac Resynchronization Therapy and Electrocardiographic Consequences of the Stimulation Site
4 Non Contact Heart Monitoring
5 Automated Selection of Optimal ECG Lead Using Heart Instantaneous Frequency During Sleep
Part 3 ECG Feature Analysis
6 A Novel Technique for ECG Morphology Interpretation and Arrhythmia Detection Based on Time Series Signal Extracted from Scanned ECG Record
7 QT Interval and QT Variability
8 The Electrocardiogram – Waves and Intervals
9 Quantification of Ventricular Repolarization Dispersion Using Digital Processing of the Surface ECG
10 Medicines and QT Prolongation
11 Concealed Conduction
12 Recognition of Cardiac Arrhythmia by Means of Beat Clustering on ECG-Holter Recordings
Part 4 Heart Rate Variability
13 Electrocardiographic Analysis of Heart Rate Variability in Aging Heart
14 Changes of Sympathovagal Balance Measured by Heart Rate Variability in Gastroparetic Patients Treated with Gastric Electrical Stimulation
15 Associations of Metabolic Variables with Electrocardiographic Measures of Sympathovagal Balance in Healthy Young Adults
Part 5 ECG Signal Processing
16 An Analogue Front-End System with a Low-Power On-Chip Filter and ADC for Portable ECG Detection Devices
17 Electrocardiogram in an MRI Environment: Clinical Needs. Practical Considerations. Safety Implications. Technical Solutions and Future Directions
18 Customized Heart Check System by Using Integrated Information of Electrocardiogram and Plethysmogram Outside the Driver's Awareness from an Automobile Steering Wheel
19 Independent Component Analysis in ECG Signal Processing
Part 6 ECG Data Management
20 Broadening the Exchange of Electrocardiogram Data from Intra-Hospital to Inter-Hospital
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“Advanced Methods for Practical Applications in Fluid Mechanics” ed. by Steven A. Jones

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"Advanced Methods for Practical Applications in Fluid Mechanics" ed. by Steven A. Jones
InTeOpP | 2012 | ISBN: 9535102419 9789535102410 | 241 pages | PDF | 15 MB
Central to this book are two ideas. The first is that Fluid Mechanics is relevant to a wide variety of problems that are priorities in the early 21st century, three of which are health, the environment, and energy. The second idea is that researchers in this field are applying novel methods to address these problems.

Even on its most basic level, Fluid Mechanics is challenging. Only in limited cases, for example, can the nonlinearities of the Navier-Stokes

“Advanced Methods for Practical Applications in Fluid Mechanics” ed. by Steven A. Jones
Part 1 General Fluid Mechanical Methods
1 Overview on Stereoscopic Particle Image Velocimetry
Part 2 Illustrative Applications
2 Two-Dimensional Supersonic Flow with Perpendicular Injection of the Gas
Part 3 Advances in Classical Approaches
3 Modification of the Charnock Wind Stress Formula to Include the Effects of Free Convection and Swell
4 Dynamically Incompressible Flow
5 Parallel Accelerated Group Iterative Algorithms in the Solution of Two-Space Dimensional Diffusion Equations
6 An Idealised Biphasic Poroelastic Finite Element Model of a Tibial Fracture
7 Radial Basis Functions Methods for Solving Radionuclide Migration. Phase Change and Wood Charring Problems
8 Simulation of Acoustic Sound Produced by Interaction Between Vortices and Arbitrarily Shaped Body in Multi-Dimensional Flows by the Vortex Method
Part 4 Non-Classical Approaches
9 Multiscale Particle-ln-Cell Method: From Fluid to Solid Mechanics
10 Topology Optimization of Fluid Mechanics Problems
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