Description
Book SynopsisMATLAB(R) Primer for Speech Language Pathology and Audiology provides training and access to MATLAB(R), the computational language developed by MathWorks. While there are MATLAB(R) textbooks and manuals written for the field of engineering, there are no textbooks targeting allied heath disciplines and speech-language pathology and audiology in particular. Research and practice in this field can greatly benefit from quantification and automation in data management, a domain that is increasingly labor intensive. The text anticipates and promotes increased reliance on quantification and automation in the field of speech-language pathology and audiology.This book is intended for students, practitioners and researchers in speech-language pathology and audiology who wish to increase their productivity by incorporating and automating common research procedures and data-analysis calculations, or to develop new tools and methods for their own paradigms and data processing. It assumes no prior knowledge of programming, but requires the reader have a grasp of basic computer skills such as managing folders, moving files, and navigating file paths and folder structures.Content and style are chosen so as to lower the threshold to an audience that as of yet has limited training in computer science. Concepts are presented in a personalized writing style (almost a dialogue with the reader), along with a didactic format that comes close to programmed instruction, using applications and work assignments that are concrete and manageable.Key Features:*Provides a comprehensive introduction to the user in an effort to limit background needed to follow the content*Includes several mathematical review appendices*Exercises for the student to apply skills learned in laboratory and clinical applications*Supplies many examples of MATLAB code and makes use of several datasets
Table of ContentsForeword by Brad H. Story. Introduction. Acknowledgments. Chapter 1. Introduction to Programming With MATLAB(R). Chapter 2. Basic Operations for Sampling and Wave Data. Chapter 3. Interfacing With Software. Chapter 4. Applications of MATLAB(R) in Clinical and Research Settings. Chapter 5. Clinic Data Management and Analysis. Appendix A. Review of Trigonometry. Appendix B. Review of Complex Numbers. Appendix C. Review of Matrices. Appendix D. Source Code for an Interactive Spectral-Analysis GUI. Glossary. Index.
