Fourier Transform And Its Applications Using Microsoft Excelr
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| Author | : Shinil Cho |
| Publisher | : Morgan & Claypool Publishers |
| Total Pages | : 124 |
| Release | : 2018-10-04 |
| Genre | : Science |
| ISBN | : 1643272861 |
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.
| Author | : Shinil Cho |
| Publisher | : Morgan & Claypool |
| Total Pages | : 124 |
| Release | : 2018-10-04 |
| Genre | : Science |
| ISBN | : 9781643272887 |
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.
| Author | : Robert De Levie |
| Publisher | : Oxford University Press, USA |
| Total Pages | : 631 |
| Release | : 2004 |
| Genre | : Computers |
| ISBN | : 0195152751 |
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).
| Author | : Bernard V Liengme |
| Publisher | : Morgan & Claypool Publishers |
| Total Pages | : 95 |
| Release | : 2014-10-01 |
| Genre | : Science |
| ISBN | : 1627054197 |
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
| Author | : Shinil Cho |
| Publisher | : Morgan & Claypool Publishers |
| Total Pages | : 162 |
| Release | : 2019-10-31 |
| Genre | : Science |
| ISBN | : 164327726X |
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.
| Author | : Gil Raviv |
| Publisher | : Microsoft Press |
| Total Pages | : 874 |
| Release | : 2018-10-08 |
| Genre | : Computers |
| ISBN | : 1509307974 |
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.
| Author | : H.J. Nussbaumer |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 260 |
| Release | : 2013-03-08 |
| Genre | : Mathematics |
| ISBN | : 3662005514 |
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.
| Author | : Peter D. Congdon |
| Publisher | : CRC Press |
| Total Pages | : 580 |
| Release | : 2019-09-16 |
| Genre | : Mathematics |
| ISBN | : 1498785913 |
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
| Author | : Cathy O'Neil |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 320 |
| Release | : 2013-10-09 |
| Genre | : Computers |
| ISBN | : 144936389X |
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.
| Author | : Francis Hauser |
| Publisher | : CreateSpace |
| Total Pages | : 186 |
| Release | : 2015-06-29 |
| Genre | : |
| ISBN | : 9781511820080 |
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.
