This document contains a general overview in the fiRSt few sections as well as a more detailed reference in later sections for SVMpython. If you re already familiar with SVMpython, it s possible to get a pretty good idea of how to use the package merely by browsing through svmstruct.py and multiclass.py. This document provides a more in depth view of how to use the package.
Note that this is not a conversion of SVMstruct to Python. It is merely an embedding of Python in existing C code. All code other than the user implemented API functions is still in C, including optimization.
The development of a data acquisition card based on USB bus is introduced in this article.It fiRSt describes the configuration and principle of this card in the part of hardware design,and then the application program and device driver in the part of software design.Data acquisition program in firmware is also discussed.Finally,this data acquisition card is tested and evaluated in a program developed by Lab Windows CVI,which shows that this car is stable and reliable
In addition to all the people who contributed to the fiRSt edition, we would like to thank the following individuals for their generous help in writing this edition. Very special thanks go to Jory Prather for verifying the code samples as well as fixing them for consistency. Thanks to Dave Thaler, Brian Zill, and Rich Draves for clarifying our IPv6 questions, Mohammad Alam and Rajesh Peddibhotla for help with reliable multicasting, and Jeff Venable for his contributions on the Network Location Awareness functionality. Thanks to Vadim Eydelman for his Winsock expertise. And finally we would like to thank the .NET Application Frameworks team (Lance Olson, Mauro Ottaviani, and Ron Alberda) for their help with our questions about .NET Sockets.
When I fiRSt studied Kalman filtering, I saw many advanced signal processing submissions here at the MATLAB Central File exchange, but I didn t see a heavily commented, basic Kalman filter present to allow someone new to Kalman filters to learn about creating them. So, a year later, I ve written a very simple, heavily commented discrete filter.
