The field of microelectromechanical systems (MEMS), particularly micromachinedmechanical transducers, has been expanding over recent years, and the productioncosts of these devices continue to fall. Using materials, fabrication processes, anddesign tools originally developed for the microelectronic circuits industry, newtypes of microengineered device are evolving all the time—many offering numerousadvantages over their traditional counterparts. The electrical properties of siliconhave been well understood for many years, but it is the mechanical properties thathave been exploited in many examples of MEMS. This book may seem slightlyunusual in that it has four editors. However, since we all work together in this fieldwithin the School of Electronics and Computer Science at the University of Southampton,it seemed natural to work together on a project like this. MEMS are nowappearing as part of the syllabus for both undergraduate and postgraduate coursesat many universities, and we hope that this book will complement the teaching thatis taking place in this area.
This book contains information obtained from authentic and highly regarded sources. Reprinted material is quoted with permission, and sources are indicated. A wide variety of references are listed. Reasonable efforts have been made to publish reliable data and information, but the author and the publisher cannot assume responsibility for the validity of all materials or for the consequences of their use.
This book is about the digital logic design of microprocessors. It is intended to provide both an understanding of the basic principles of digital logic design, and how these fundamental principles are applied in the building of complex microprocessor circuits using current technologies.
This book evolved over the past ten years from a set of lecture notes developed while teaching
the undergraduate Algorithms course at Berkeley and U.C. San Diego. Our way of teaching
this course evolved tremendously over these years in a number of directions, partly to address
our students' background (undeveloped formal skills outside of programming), and partly to
reect the maturing of the eld in general, as we have come to see it. The notes increasingly
crystallized into a narrative, and we progressively structured the course to emphasize the
?story line? implicit in the progression of the material. As a result, the topics were carefully
selected and clustered. No attempt was made to be encyclopedic, and this freed us to include
topics traditionally de-emphasized or omitted from most Algorithms books.
This firmware translates a PS/2 mouse to a USB mouse. The translator
firmware is entirely interrupt driven (with the exception of sending the
data via USB to the host.) An interrupt is generated when the PS/2 start
bit is received, at which time the firmware will begin its receive routine.
In addition to this interrupt, every 168ms a timer overflow interrupts the
main program and implements one state of the mouse state machine. This
state machine handles sending bytes to and translating bytes received from
the PS/2 mouse automatically. All of this is done in the background while
the main program runs in the foreground. The only operation that the main
program implements is sending mouse data to the PC via USB.
The module LSQ is for unconstrained linear least-squares fitting. It is
based upon Applied Statistics algorithm AS 274 (see comments at the start
of the module). A planar-rotation algorithm is used to update the QR-
factorization. This makes it suitable for updating regressions as more
data become available. The module contains a test for singularities which
is simpler and quicker than calculating the singular-value decomposition.
An important feature of the algorithm is that it does not square the condition
number. The matrix X X is not formed. Hence it is suitable for ill-
conditioned problems, such as fitting polynomials.
By taking advantage of the MODULE facility, it has been possible to remove
many of the arguments to routines. Apart from the new function VARPRD,
and a back-substitution routine BKSUB2 which it calls, the routines behave
as in AS 274.
Although there has been a lot of AVL tree libraries available now, nearly all of them are meant to work in the random access memory(RAM). Some of them do provide some mechanism for dumping the whole tree into a file and loading it back to the memory in order to make data in that tree persistent. It serves well when there s just small amount of data. When the tree is somewhat bigger, the dumping/loading process could take a lengthy time and makes your mission-critical program less efficient. How about an AVL tree that can directly use the disk for data storage ? If there s something like that, we won t need to read through the whole tree in order to pick up just a little bit imformation(a node), but read only the sectors that are neccssary for locating a certain node and the sectors in which that node lies. This is my initial motivation for writing a storage-media independent AVL Tree. However, as you step forth, you would find that it not only works fine with disks but also fine with memorys, too.
his folder contains the following files:
1. 02490rxP802-15_SG3a-Channel-Modeling-Subcommittee-Report-Final.doc: This is the final
report of the channel modeling sub-committee.
2. cmx_imr.csv (x=1, 2, 3, and 4) represent the files containing the actual 100 channel
realizations for CM1, CM2, CM3, and CM4. The columns are organized as (time, amp, time, amp,...)
3. cmx_imr_np.csv (x=1, 2, 3, and 4) represent the files containing the number of paths in
each of the 100 multipath realizations.
4. cmx_imr.mat (x=1, 2, 3, and 4) are the .mat files that can be loaded directly into
Matlab (TM).
5. *.m files are the Matlab (TM) files used to generate the various channel realizations.
This Program Is Designed To Simulate A Spatial Antenna Array
System Working On The MUSIC Algorithm For The Angle Of Arrival Estimation
And Null Steering Algorithm For The Weights Estimation To The Required
Output Radiation Pattern .
Writing an Input Module
The sample module introduced here is called idiom (Input Device for Intercepting Output of Mice), The sample module registers itself with the USB kernel subsystem as a mouse driver and with the input management subsystem as a keyboard driver. idiom translates mouse movement events into keyboard input events: it reports arrow events to the input system according to how the physical mouse is moved.
