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Fourier Transform And Its Applications Using Microsoft Excelr
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Book Synopsis Fourier Transform and Its Applications Using Microsoft EXCEL® by : Shinil Cho
Download or read book Fourier Transform and Its Applications Using Microsoft EXCEL® written by Shinil Cho and published by Morgan & Claypool Publishers. This book was released on 2018-10-04 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book demonstrates Microsoft EXCEL-based Fourier transform of selected physics examples. Spectral density of the auto-regression process is also described in relation to Fourier transform. Rather than offering rigorous mathematics, readers will "try and feel" Fourier transform for themselves through the examples. Readers can also acquire and analyze their own data following the step-by-step procedure explained in this book. A hands-on acoustic spectral analysis can be one of the ideal long-term student projects.
Book Synopsis Fourier Transform and Its Applications Using Microsoft EXCEL(R) by : Shinil Cho
Download or read book Fourier Transform and Its Applications Using Microsoft EXCEL(R) written by Shinil Cho and published by Morgan & Claypool. This book was released on 2018-10-04 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book demonstrates Microsoft EXCEL(R)-based Fourier transform of selected physics examples, as well as describing spectral density of the auto-regression process in relation to Fourier transform. Rather than offering rigorous mathematics, the book provides readers with an opportunity to gain an understanding of Fourier transform through the examples. They will acquire and analyze their own data following the step-by-step procedure outlined, and a hands-on acoustic spectral analysis is suggested as the ideal long-term student project.
Book Synopsis Advanced Excel for Scientific Data Analysis by : Robert De Levie
Download or read book Advanced Excel for Scientific Data Analysis written by Robert De Levie and published by Oxford University Press, USA. This book was released on 2004 with total page 631 pages. Available in PDF, EPUB and Kindle. Book excerpt: This guide to Excel focuses on three areas--least squares, Fourier transformation, and digital simulation. It illustrates the techniques with detailed examples, many drawn from the scientific literature. It also includes and describes a number of sample macros and functions to facilitate common data analysis tasks. De Levie is affiliated with Bowdoin College. Annotation : 2004 Book News, Inc., Portland, OR (booknews.com).
Book Synopsis Numerical Calculation for Physics Laboratory Projects Using Microsoft EXCEL® by : Shinil Cho
Download or read book Numerical Calculation for Physics Laboratory Projects Using Microsoft EXCEL® written by Shinil Cho and published by Morgan & Claypool Publishers. This book was released on 2019-10-31 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers essential Microsoft EXCEL®'s computational skills while analyzing introductory physics projects. Topics of numerical analysis include; multiple graphs on the same sheet, calculation of descriptive statistical parameters, a 3-point interpolation, the Euler and the Runge-Kutter methods to solve equations of motion, the Fourier transform to calculate the normal modes of a double pendulum, matrix calculations to solve coupled linear equations of a DC circuit, animation of waves and Lissajous figures, electric and magnetic field calculations from the Poisson equation and its 3D surface graphs, variational calculus such as Fermat's least traveling time principle and the least action principle. Nelson's stochastic quantum dynamics is also introduced to draw quantum particle trajectories.
Book Synopsis Modelling Physics with Microsoft Excel by : Bernard V Liengme
Download or read book Modelling Physics with Microsoft Excel written by Bernard V Liengme and published by Morgan & Claypool Publishers. This book was released on 2014-10-01 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book demonstrates some of the ways in which Microsoft Excel® may be used to solve numerical problems in the field of physics. But why use Excel in the first place? Certainly, Excel is never going to out-perform the wonderful symbolic algebra tools tha
Book Synopsis Collect, Combine, and Transform Data Using Power Query in Excel and Power BI by : Gil Raviv
Download or read book Collect, Combine, and Transform Data Using Power Query in Excel and Power BI written by Gil Raviv and published by Microsoft Press. This book was released on 2018-10-08 with total page 874 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using Power Query, you can import, reshape, and cleanse any data from a simple interface, so you can mine that data for all of its hidden insights. Power Query is embedded in Excel, Power BI, and other Microsoft products, and leading Power Query expert Gil Raviv will help you make the most of it. Discover how to eliminate time-consuming manual data preparation, solve common problems, avoid pitfalls, and more. Then, walk through several complete analytics challenges, and integrate all your skills in a realistic chapter-length final project. By the time you’re finished, you’ll be ready to wrangle any data–and transform it into actionable knowledge. Prepare and analyze your data the easy way, with Power Query · Quickly prepare data for analysis with Power Query in Excel (also known as Get & Transform) and in Power BI · Solve common data preparation problems with a few mouse clicks and simple formula edits · Combine data from multiple sources, multiple queries, and mismatched tables · Master basic and advanced techniques for unpivoting tables · Customize transformations and build flexible data mashups with the M formula language · Address collaboration challenges with Power Query · Gain crucial insights into text feeds · Streamline complex social network analytics so you can do it yourself For all information workers, analysts, and any Excel user who wants to solve their own business intelligence problems.
Book Synopsis Fast Fourier Transform and Convolution Algorithms by : H.J. Nussbaumer
Download or read book Fast Fourier Transform and Convolution Algorithms written by H.J. Nussbaumer and published by Springer Science & Business Media. This book was released on 2013-03-08 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents in a unified way the various fast algorithms that are used for the implementation of digital filters and the evaluation of discrete Fourier transforms. The book consists of eight chapters. The first two chapters are devoted to background information and to introductory material on number theory and polynomial algebra. This section is limited to the basic concepts as they apply to other parts of the book. Thus, we have restricted our discussion of number theory to congruences, primitive roots, quadratic residues, and to the properties of Mersenne and Fermat numbers. The section on polynomial algebra deals primarily with the divisibility and congruence properties of polynomials and with algebraic computational complexity. The rest of the book is focused directly on fast digital filtering and discrete Fourier transform algorithms. We have attempted to present these techniques in a unified way by using polynomial algebra as extensively as possible. This objective has led us to reformulate many of the algorithms which are discussed in the book. It has been our experience that such a presentation serves to clarify the relationship between the algorithms and often provides clues to improved computation techniques. Chapter 3 reviews the fast digital filtering algorithms, with emphasis on algebraic methods and on the evaluation of one-dimensional circular convolutions. Chapters 4 and 5 present the fast Fourier transform and the Winograd Fourier transform algorithm.
Book Synopsis Bayesian Hierarchical Models by : Peter D. Congdon
Download or read book Bayesian Hierarchical Models written by Peter D. Congdon and published by CRC Press. This book was released on 2019-09-16 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: An intermediate-level treatment of Bayesian hierarchical models and their applications, this book demonstrates the advantages of a Bayesian approach to data sets involving inferences for collections of related units or variables, and in methods where parameters can be treated as random collections. Through illustrative data analysis and attention to statistical computing, this book facilitates practical implementation of Bayesian hierarchical methods. The new edition is a revision of the book Applied Bayesian Hierarchical Methods. It maintains a focus on applied modelling and data analysis, but now using entirely R-based Bayesian computing options. It has been updated with a new chapter on regression for causal effects, and one on computing options and strategies. This latter chapter is particularly important, due to recent advances in Bayesian computing and estimation, including the development of rjags and rstan. It also features updates throughout with new examples. The examples exploit and illustrate the broader advantages of the R computing environment, while allowing readers to explore alternative likelihood assumptions, regression structures, and assumptions on prior densities. Features: Provides a comprehensive and accessible overview of applied Bayesian hierarchical modelling Includes many real data examples to illustrate different modelling topics R code (based on rjags, jagsUI, R2OpenBUGS, and rstan) is integrated into the book, emphasizing implementation Software options and coding principles are introduced in new chapter on computing Programs and data sets available on the book’s website
Book Synopsis Doing Data Science by : Cathy O'Neil
Download or read book Doing Data Science written by Cathy O'Neil and published by "O'Reilly Media, Inc.". This book was released on 2013-10-09 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know. In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science. Topics include: Statistical inference, exploratory data analysis, and the data science process Algorithms Spam filters, Naive Bayes, and data wrangling Logistic regression Financial modeling Recommendation engines and causality Data visualization Social networks and data journalism Data engineering, MapReduce, Pregel, and Hadoop Doing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.
Download or read book Excel with VBA written by Francis Hauser and published by CreateSpace. This book was released on 2015-06-29 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book was born when dynamic systems analyst Francis Hauser, PhD, discovered the power of this well-integrated programming platform. He realized how helpful this would have been to him as a student and as a practicing engineer and university teacher. He decided "this has got to be told." From this book, the reader can expect to be writing computer programs using Microsoft Office Excel with VBA. This book defines and demonstrates VBA syntax incrementally using example programs that range from common math problems like finding roots of polynomials to more advanced problems like finding eigenvalues of general matrices using the QR algorithm. Example programs with complete code listings cover the following topics: Roots of polynomials Linear algebraic equations Runge-Kutta numerical integration 3D object rotation Newton-Raphson for nonlinear equations Linearizing equations State variable form of equations Eigenvalues via the QR algorithm Transfer functions via the QR algorithm Frequency response Root locus Dantzig's Simplex Algorithm Discrete Fourier transform These code listings are explained by in depth tutorials on the topics, and include checkout methods learned from experience. This guidebook will help you as an engineer, mathematician, or student using nothing more than the Microsoft Office suite that many are already familiar with. The book is for PCs and Macs.
Book Synopsis Engineering with Excel by : Ronald W. Larsen
Download or read book Engineering with Excel written by Ronald W. Larsen and published by Prentice Hall. This book was released on 2009 with total page 697 pages. Available in PDF, EPUB and Kindle. Book excerpt: For introductory courses in Engineering and Computing Based on Excel 2007, Engineering with Excel, 3e takes a comprehensive look at using Excel in engineering. This book focuses on applications and is intended to serve as both a textbook and a reference for students.
Download or read book Secular Cycles written by Peter Turchin and published by Princeton University Press. This book was released on 2009-08-09 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Secular Cycles elaborates and expands upon the demographic-structural theory first advanced by Jack Goldstone, which provides an explanation of long-term oscillations. This book tests that theory's specific and quantitative predictions by tracing the dynamics of population numbers, prices and real wages, elite numbers and incomes, state finances, and sociopolitical instability. Turchin and Nefedov study societies in England, France, and Russia during the medieval and early modern periods, and look back at the Roman Republic and Empire. Incorporating theoretical and quantitative history, the authors examine a specific model of historical change and, more generally, investigate the utility of the dynamical systems approach in historical applications."--BOOK JACKET.
Book Synopsis Thinking Like an Engineer by : Elizabeth A. Stephan
Download or read book Thinking Like an Engineer written by Elizabeth A. Stephan and published by . This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thinking Like an Engineer: An Active Learning Approach, 2e, is specifically designed to utilize an active learning environment for first year engineering courses. In-class activities include collaborative problem-solving, computer-based activities, and hands-on experiments, encouraging guided inquiry. Homework assignments and review sections reinforce and expand on the activities. Content can be customized to match the topic organization in your course syllabi. Paired with Pearson's new MyEngineeringLab , Thinking Like an Engineer, 2e, is a complete digital solution for your first year engineering course. MyEngineeringLab offers students customized, self-paced learning with instant feedback. Students will be prepared ahead of class, allowing you to spend class time focusing on active learning. Subscriptions to MyEngineeringLab are available to purchase online or packaged with your textbook (unique ISBN). Use the following ISBNs to purchase MyEngineeringLab: Thinking Like an Engineer, 2e & MyEngineeringLab with Pearson eText Student Access Code Card for Thinking Like an Engineer, 2e ISBN: 0132981386 This package includes the Thinking Like an Engineer, 2e textbook, an access card for MyEngineeringLab, and a Pearson eText Student Access Code Card for Thinking Like an Engineer, 2e. MyEngineeringLab with Pearson eText -- Access Card -- for Thinking Like an Engineer, 2e ISBN: 0132766744 This stand-alone access card package contains an access code for MyEngineeringLab, and a Pearson eText student access code card for Thinking Like an Engineer, 2e eText.
Book Synopsis Predictive Analytics and Data Mining by : Vijay Kotu
Download or read book Predictive Analytics and Data Mining written by Vijay Kotu and published by Morgan Kaufmann. This book was released on 2014-11-27 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: Put Predictive Analytics into ActionLearn the basics of Predictive Analysis and Data Mining through an easy to understand conceptual framework and immediately practice the concepts learned using the open source RapidMiner tool. Whether you are brand new to Data Mining or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. Data Mining has become an essential tool for any enterprise that collects, stores and processes data as part of its operations. This book is ideal for business users, data analysts, business analysts, business intelligence and data warehousing professionals and for anyone who wants to learn Data Mining.You’ll be able to:1. Gain the necessary knowledge of different data mining techniques, so that you can select the right technique for a given data problem and create a general purpose analytics process.2. Get up and running fast with more than two dozen commonly used powerful algorithms for predictive analytics using practical use cases.3. Implement a simple step-by-step process for predicting an outcome or discovering hidden relationships from the data using RapidMiner, an open source GUI based data mining tool Predictive analytics and Data Mining techniques covered: Exploratory Data Analysis, Visualization, Decision trees, Rule induction, k-Nearest Neighbors, Naïve Bayesian, Artificial Neural Networks, Support Vector machines, Ensemble models, Bagging, Boosting, Random Forests, Linear regression, Logistic regression, Association analysis using Apriori and FP Growth, K-Means clustering, Density based clustering, Self Organizing Maps, Text Mining, Time series forecasting, Anomaly detection and Feature selection. Implementation files can be downloaded from the book companion site at www.LearnPredictiveAnalytics.com Demystifies data mining concepts with easy to understand language Shows how to get up and running fast with 20 commonly used powerful techniques for predictive analysis Explains the process of using open source RapidMiner tools Discusses a simple 5 step process for implementing algorithms that can be used for performing predictive analytics Includes practical use cases and examples
Book Synopsis Engineering Fundamentals: An Introduction to Engineering, SI Edition by : Saeed Moaveni
Download or read book Engineering Fundamentals: An Introduction to Engineering, SI Edition written by Saeed Moaveni and published by Cengage Learning. This book was released on 2011-01-01 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt: Specifically designed as an introduction to the exciting world of engineering, ENGINEERING FUNDAMENTALS: AN INTRODUCTION TO ENGINEERING encourages students to become engineers and prepares them with a solid foundation in the fundamental principles and physical laws. The book begins with a discovery of what engineers do as well as an inside look into the various areas of specialization. An explanation on good study habits and what it takes to succeed is included as well as an introduction to design and problem solving, communication, and ethics. Once this foundation is established, the book moves on to the basic physical concepts and laws that students will encounter regularly. The framework of this text teaches students that engineers apply physical and chemical laws and principles as well as mathematics to design, test, and supervise the production of millions of parts, products, and services that people use every day. By gaining problem solving skills and an understanding of fundamental principles, students are on their way to becoming analytical, detail-oriented, and creative engineers. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Book Synopsis The Radon Transform and Some of Its Applications by : Stanley R. Deans
Download or read book The Radon Transform and Some of Its Applications written by Stanley R. Deans and published by Courier Corporation. This book was released on 2007-10-01 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Of value to mathematicians, physicists, and engineers, this excellent introduction to Radon transform covers both theory and applications, with a rich array of examples and literature that forms a valuable reference. This 1993 edition is a revised and updated version by the author of his pioneering work.
Book Synopsis Peptide Macrocycles by : Matthew B. Coppock
Download or read book Peptide Macrocycles written by Matthew B. Coppock and published by Humana. This book was released on 2021-11-02 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume explores the latest techniques and strategies used to study the field of peptide macrocycles. The chapters in this book ae organized into four parts: macrocycles synthesis, combinational library synthesis and screening, macrocycle characterization, and unique applications. Part One looks at a variety of peptide cyclization methodologies, and Part Two describes methods for the creation of peptide macrocycles libraries and their subsequent screening against biological targets of interest. Part Three discusses the study and characterization of peptide macrocycle-target interactions, and Part Four introduces unique applications for peptide macrocycles, from higher-order structure formation to post-synthetic functional modifications. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and comprehensive, Peptide Macrocycles: Methods and Protocols is a valuable resource for both novice and expert researchers looking to learn more about this developing field.
