Microsoft XNA unleashed : graphics and game programming for Xbox 360 and Windows / Chad Carter.

"Developing and understanding advanced signal processing techniques for the analysis of EEG signals is crucial in the area of biomedical research. This book focuses on these techniques, providing expansive coverage of algorithms and tools from the field of digital signal processing. It discusse...

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Bibliographic Details
Online Access: Full Text (via O'Reilly/Safari)
Main Author: Carter, Chad
Format: eBook
Language:English
Published: Indianapolis, Ind. : Sams Pub., 2007.
Subjects:

MARC

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505 0 |a pt. I. Get up and running with XNA on your PC and Xbox 360 -- 1. Introducing XNA and XNA Game Studio Express -- 2. XNA and the Xbox 360 -- 3. Performance considerations -- pt. II. Understanding XNA basics -- 4. Creating 3D objects -- 5. Input devices and cameras -- pt. III. Content pipeline -- 6. Loading and texturing 3D objects -- 7. Sounds and music -- 8. Extending the content pipeline -- pt. IV. 2D in XNA -- 9. 2D basics -- 10. 2D effects -- 11. Creating a 2D game -- pt. V. High level shader language -- 12. HLSL basics -- 13. Advanced HLSL -- pt. VI. Physics and artificial intelligence -- 14. Physics basics -- 15. Finite state machines and game state management -- 16. Al algorithms -- pt. VII. 3D effects -- 17. Advanced texturing techniques -- 18. Special effects -- 19. Particle system -- pt. VIII. Putting it into practice -- 20. Creating a 3D game -- 21. Improving the game -- 22. Finishing touches. 
520 1 |a "Developing and understanding advanced signal processing techniques for the analysis of EEG signals is crucial in the area of biomedical research. This book focuses on these techniques, providing expansive coverage of algorithms and tools from the field of digital signal processing. It discusses their applications to medical data, using graphs and topographic images to show simulation results that assess the efficacy of the methods." "The information within EEG Signal Processing has the potential to enhance the clinically-related information within EEG signals, thereby aiding physicians and ultimately providing more cost effective, efficient diagnostic tools. It will be beneficial to psychiatrists, neurophysiologists, engineers, and students or researchers in neurosciences. Undergraduate and postgraduate biomedical engineering students and postgraduate epileptology students will also find it a helpful reference."--Jacket 
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