In 1960, R.E. Kalman published his famous paper describing a recursive solution
to the discrete-data linear filtering problem. Since that time, due in large part to advances
in digital computing, the Kalman filter has been the subject of extensive research
and application, particularly in the area of autonomous or assisted
navigation.
In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discretedata
linear filtering problem [Kalman60]. Since that time, due in large part to advances in digital
computing, the
Kalman filter
has been the subject of extensive research and application,
particularly in the area of autonomous or assisted navigation. A very “friendly” introduction to the
general idea of the Kalman filter can be found in Chapter 1 of [Maybeck79], while a more complete
introductory discussion can be found in [Sorenson70], which also contains some interesting
historical narrative.
Many applications in computer graphics require complex, highly
detailed models. However, the level of detail actually necessary
may vary considerably. To control processing time, it is often desirable
to use approximations in place of excessively detailed models.
Every day, patches are created to cover up security holes in software applications and operating systems. But by the time you download a patch, it could be too late. A hacker may have already taken advantage of the hole and wreaked havoc on your system. This innovative book will help you stay one step ahead. It gives you the tools to discover vulnerabilities in C-language-based software, exploit the vulnerabilities you find, and prevent new security holes from occurring.
t transistor has the characteristics of components of the sensor real-time measurement of voltage and current signals through, obtained quality factor correction circuit for the feedback and the feedback time, IBM used the feedback field effect transistor implementation, in order to achieve quality factor correction circ
This book is intended for embedded system programmers, consultants and students interested in real-time operating
systems. μC/OS-II is a high performance, deterministic real-time kernel and can be embedded in commercial products
(see Appendix F, Licensing). Instead of writing your own kernel, you should consider μC/OS-II. You will find, as I
did, that writing a kernel is not as easy as it first looks.
The Ntrip RTCM Multiclient "NtripRTCMMC" simultaneously reads a number of
real-time RTK data streams in RTCM 2.x format (basicly message types 18
and 19) as received from an Ntrip Broadcaster. It decodes the streams and
generates raw and RINEX files.
The initial planning and thinking about this book began during a discussion of SQL Server futures in
July 2001. The discussion was with Rob Howard during a trip to Microsoft to discuss the first book I was
working on at that time. After that, I stayed involved in what was happening in ADO.NET by going to
the SQL Server Yukon Technical Preview in Bellevue, Washington, in February 2002 and by working
with the ASP.NET and SQL Server teams at Microsoft since July 2003.
In a preemptive priority based RTOS, priority inversion
problem is among the major sources of deadline
violations. Priority inheritance protocol is one of the
approaches to reduce priority inversion. Unfortunately,
RTOS like uC/OS can’t support priority inheritance
protocol since it does not allow kernel to have multiple
tasks at the same priority. Although it has different ways
to avoid priority inversion such as priority ceiling
protocol, developers still have some difficulties in
programming real time applications with it. In this paper,
we redesign the uC/OS kernel to provide the ability to
support round robin scheduling and implement priority
inheritance semaphore on the modified kernel. As result,
we port new kernel with priority inheritance semaphore to
evaluation board, and evaluate the execution time of each
of the kernel service as well as verify the operations of
our implementation.
C++, although a marvelous language, isn t perfect. Matthew Wilson has been working with it for over a decade, and during that time he has found inherent limitations that require skillful workarounds. In this book, he doesn t just tell you what s wrong with C++, but offers practical techniques and tools for writing code that s more robust, flexible, efficient, and maintainable. He shows you how to tame C++ s complexity, cut through its vast array of paradigms, take back control over your code--and get far better results
