f your application uses MFC in a shared DLL, and your application is
in a language other than the operating system s current language, you
will need to copy the corresponding LOCALIZED resources MFC42XXX.DLL
from the Microsoft Visual C++ CD-ROM onto the system or system32 directory,
and rename it to be MFCLOC.DLL. ("XXX" stands for the language abbreviation.
For example, MFC42DEU.DLL contains resources translated to German.) If you
don t do this, some of the UI elements of your application will remain in the
language of the operating system.
C++讀取Excel
AppWizard uses "TODO:" to indicate parts of the source code you
should add to or customize.
If your application uses MFC in a shared DLL, and your application is
in a language other than the operating system s current language, you
will need to copy the corresponding LOCALIZED resources MFC42XXX.DLL
from the Microsoft Visual C++ CD-ROM onto the system or system32 directory,
and rename it to be MFCLOC.DLL. ("XXX" stands for the language abbreviation.
For example, MFC42DEU.DLL contains resources translated to German.) If you
don t do this, some of the UI elements of your application will remain in the
language of the operating system.
If your application uses MFC in a shared DLL, and your application is
in a language other than the operating system s current language, you
will need to copy the corresponding LOCALIZED resources MFC42XXX.DLL
from the Microsoft Visual C++ CD-ROM onto the system or system32 directory,
and rename it to be MFCLOC.DLL. ("XXX" stands for the language abbreviation.
For example, MFC42DEU.DLL contains resources translated to German.) If you
don t do this, some of the UI elements of your application will remain in the
language of the operating system.
This paper deals with the issue of incorporating pseudolite measurements into an integrated Global Positioning System/
Inertial Navigation System ~GPS/INS! positioning and attitude system with a view to improving signal availability, solution reliability, and
accuracy in a LOCALIZED area
Introduction to I/O Kit Device Driver Design Guidelines
Chapter 1 The libkern C++ Runtime
Chapter 2 libkern Collection and Container Classes
Chapter 3 The IOService API
Chapter 4 Making Hardware Accessible to Applications
Chapter 5 Kernel-User Notification
Chapter 6 Displaying LOCALIZED Information About Drivers
Chapter 7 Debugging Drivers
Chapter 8 Testing and Deploying Drivers
Chapter 9 Developing a Device Driver to Run on an Intel-Based Macintosh
Abstract—We describe a technique for image encoding in which local operators of many scales but identical shape serve as the basis functions. The representation differs from established techniques in that the code elements are LOCALIZED in spatial frequency as well as in space.
We consider the problem of target localization by a
network of passive sensors. When an unknown target emits an
acoustic or a radio signal, its position can be LOCALIZED with multiple
sensors using the time difference of arrival (TDOA) information.
In this paper, we consider the maximum likelihood formulation
of this target localization problem and provide efficient convex
relaxations for this nonconvex optimization problem.We also propose
a formulation for robust target localization in the presence of
sensor location errors. Two Cramer-Rao bounds are derived corresponding
to situations with and without sensor node location errors.
Simulation results confirm the efficiency and superior performance
of the convex relaxation approach as compared to the
existing least squares based approach when large sensor node location
errors are present.
