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MATLAB Programming for Biomedical Engineers and Scientists

Autor Andrew P. King, Paul Aljabar
en Limba Engleză Paperback – 15 iun 2022
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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Specificații

ISBN-13: 9780323857734
ISBN-10: 0323857736
Pagini: 464
Dimensiuni: 191 x 235 x 21 mm
Greutate: 0.85 kg
Ediția:2
Editura: ELSEVIER SCIENCE

Public țintă

Navstem currently lists 32 schools in the US with MATLAB courses taught out of biomedical engineering departments. Several UK schools also teach a BME-specific programming course using MATLAB.

Cuprins

1. Introduction to Computer Programming and MATLAB 2. Basic Data Types 3. Control Structures 4. Functions 5. Program Development and Testing 6. Advanced Data Types 7. File Input/Output 8. Program Design 9. Visualization 10. Code Efficiency 11. Graphical User Interfaces 12. Signal and Image Processing 13. Statistics 14. Machine Learning 15. Engineering Mathematics