轉載一個程序。
This zip file contains a example of using C++ language COM in a Visual C++ program (named example.zip), and a COM component built by comtool of Matlab and used in a Visual C++ program(named mycom.zip). Both projects contain fire_event in COM. But it only works well in the former example. The interface of two COM components looks very similar, and the client program of two projects are almost the same.
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.
TFIND
searches for one or more strings (boolean AND) in a text file.
TFIND reports all lines where the string(s) were found (or NOT found
by option).
The search can be limited to a field in a fixed field (i.e. column
oriented) list.
An extended search mode is available, where only letters and digits
are relevant.
Other options:
case sensitive search,
alternative errorlevel with number of hits,
header line with file name, LFN, custom prefix
Adaptive Filter. This script shows the BER performance of several types of equalizers in a static channel with a null in the passband. The script constructs and implements a linear equalizer object and a decision feedback equalizer (DFE) object. It also initializes and invokes a maximum likelihood sequence estimation (MLSE) equalizer. The MLSE equalizer is first invoked with perfect channel knowledge, then with a straightforward but imperfect channel estimation technique.
The algorm of viterbi. You talk to your friend three days in a row and discover that on the first day he went for a walk, on the second day he went shopping, and on the third day he cleaned his apartment. You have two questions: What is the overall probability of this sequence of observations? And what is the most likely sequence of rainy/sunny days that would explain these observations? The first question is answered by the forward algorithm the second question is answered by the Viterbi algorithm. These two algorithms are structurally so similar (in fact, they are both instances of the same abstract algorithm) that they can be implemented in a single function:
