MATLAB Programming for Biomedical Engineers and Scientists

MATLAB Programming for Biomedical Engineers and Scientists, Second Edition provides an easy-to-learn introduction to the fundamentals of computer programming in MATLAB. The book explains the principles of good programming practice, while also demonstrating how to write efficient and robust code that...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: King, Andrew P., Aljabar, Paul (مؤلف)
التنسيق: Livre numérique
اللغة:Anglais
منشور في: San Diego, CA : Elsevier Science 2022.
Paris : Cyberlibris
الوصول للمادة أونلاين:Accès Université d'Orléans et IFPM
Accès INSA CVL
ملاحظة: Couverture. https://static2.cyberlibris.com/books_upload/136pix/9780323984577.jpg
Cyberlibris (ScholarVox) corpus Sciences de l'ingénieur
Cyberlibris (ScholarVox) corpus Sciences de l'ingénieur
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• MATLAB Programming for Biomedical Engineers and Scientists, Andrew P. King, Paul Aljabar, 2d Edition, San Diego, CA, Elsevier Science, 2022, 1 vol. (753 p.), 978-03-2385-773-4
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520 |a MATLAB Programming for Biomedical Engineers and Scientists, Second Edition provides an easy-to-learn introduction to the fundamentals of computer programming in MATLAB. The book explains the principles of good programming practice, while also demonstrating how to write efficient and robust code that analyzes and visualizes biomedical data. Aimed at the biomedical engineering student, biomedical scientist and medical researcher with little or no computer programming experience, this is an excellent resource for learning the principles and practice of computer programming using MATLAB. The book enables the reader to analyze problems and apply structured design methods to produce elegant, efficient and well-structured program designs, implement a structured program design in MATLAB, write code that makes good use of MATLAB programming features, including control structures, functions and advanced data types, and much more. Presents many real-world biomedical problems and data, showing the practical application of programming concepts Contains two whole chapters dedicated to the practicalities of designing and implementing more complex programs Provides an accompanying website with freely available data and source code for the practical code examples, activities and exercises in the book Includes new chapters on machine learning, engineering mathematics, and expanded coverage of data types 
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