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This extraordinarily comprehensive text, requiring no special background, discusses the nature of sound waves, musical instruments, musical notation, acoustic materials, elements of sound reproduction systems, and electronic music. Includes 376 figures.
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Undergraduate-level text examines waves in air and in three dimensions, interference patterns and diffraction, and acoustic impedance, as illustrated in the behavior of horns. 1951 edition.
Comprehensive and accessible, this foundational text surveys general principles of sound, musical scales, characteristics of instruments, mechanical and electronic recording devices, and many other topics. More than 300 illustrations plus questions, problems, and projects.
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With this book, anyone can become a speaker builder. You don't need an elaborate workshop, expensive analytical equipment, or sophisticted software. Learn the concepts you need or chhose any of the eleven tested and proven speaker designs included in the book. Contains all the information the speaker builder needs to design and build a first-rate system, one that surpasses higher-cost commercial products.
This undergraduate textbook aids readers in studying music and color, which involve nearly the entire gamut of the fundamental laws of classical as well as atomic physics. The objective bases for these two subjects are, respectively, sound and light. Their corresponding underlying physical principles overlap greatly: Both music and color are manifestations of wave phenomena. As a result, commonalities exist as to the production, transmission, and detection of sound and light. Whereas traditional introductory physics textbooks are styled so that the basic principles are introduced first and are then applied, this book is based on a motivational approach: It introduces a subject with a set of ...
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
"Scarlett Bernard knows about personal space: step within ten feet of her, and any supernatural spells or demonic forces are instantly defused-vampires and werewolves become human again, and witches can't get out so much as a "hocus pocus." This special skill makes her a null and very valuable to Los Angeles's three most powerful magical communities, who utilize her ability to scrub crime scenes clean of all traces of the paranormal to keep humanity, and the LAPD, in the dark. But one night Scarlett's late arrival to a grisly murder scene reveals her agenda and ends with LAPD's Jesse Cruz tracking her down to strike a deal: he'll keep quiet about the undead underworld if she helps solve the case. Their pact doesn't sit well with Dash, the city's chief bloodsucker, who fears his whole vampire empire is at stake. And when clues start to point to Scarlett, it'll take more than her unique powers to catch the real killer and clear her name."--Publisher's website.