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  • This tutorial attempts to get you started developing with the Win32 API as quickly and clearly as po

    This tutorial attempts to get you started developing with the Win32 API as quickly and clearly as possible. It is meant to be read as a whole, so please read it from beginning to end before asking questions... most of them will probably be answered. Each section builds on the sections before it. I have also added some solutions to common errors in Appendix A. If you ask me a question that is answered on this page, you will look very silly.

    標(biāo)簽: developing tutorial attempts clearly

    上傳時(shí)間: 2015-09-29

    上傳用戶:wanqunsheng

  • This manual describes omniidl, the omniORB IDL compiler. It is intended for developers who wish to

    This manual describes omniidl, the omniORB IDL compiler. It is intended for developers who wish to write their own IDL compiler back-ends, or to modify existing ones. It also documents the design of the compiler front-end for those poor souls who have to track the IDL specification.

    標(biāo)簽: developers describes compiler intended

    上傳時(shí)間: 2015-10-07

    上傳用戶:84425894

  • The goal of this library is to make ODBC recordsets look just like an STL container. As a user, you

    The goal of this library is to make ODBC recordsets look just like an STL container. As a user, you can move through our containers using standard STL iterators and if you insert(), erase() or replace() records in our containers changes can be automatically committed to the database for you. The library s compliance with the STL iterator and container standards means you can plug our abstractions into a wide variety of STL algorithms for data storage, searching and manipulation. In addition, the C++ reflection mechanism used by our library to bind to database tables allows us to add generic indexing and lookup properties to our containers with no special code required from the end-user. Because our code takes full advantage of the template mechanism, it adds minimal overhead compared with using raw ODBC calls to access a database.

    標(biāo)簽: recordsets container library ODBC

    上傳時(shí)間: 2015-10-11

    上傳用戶:xlcky

  • This simple program help you to calculate parameters for a pid controller for first order systems wi

    This simple program help you to calculate parameters for a pid controller for first order systems wiith delay using different method: Ziegler Nichols,Cohen coon,IMC...

    標(biāo)簽: controller parameters calculate for

    上傳時(shí)間: 2015-11-09

    上傳用戶:yuanyuan123

  • This leon3 design is tailored to the Altera NiosII Startix2 Development board, with 16-bit DDR SDR

    This leon3 design is tailored to the Altera NiosII Startix2 Development board, with 16-bit DDR SDRAM and 2 Mbyte of SSRAM. As of this time, the DDR interface only works up to 120 MHz. At 130, DDR data can be read but not written. NOTE: the test bench cannot be simulated with DDR enabled because the Altera pads do not have the correct delay models. * How to program the flash prom with a FPGA programming file 1. Create a hex file of the programming file with Quartus. 2. Convert it to srecord and adjust the load address: objcopy --adjust-vma=0x800000 output_file.hexout -O srec fpga.srec 3. Program the flash memory using grmon: flash erase 0x800000 0xb00000 flash load fpga.srec

    標(biāo)簽: Development Startix2 tailored Altera

    上傳時(shí)間: 2014-01-19

    上傳用戶:chongcongying

  • Using the UnderC Tokenizer Class It s often necessary to parse complex text files, where standard

    Using the UnderC Tokenizer Class It s often necessary to parse complex text files, where standard i/o is too clumsy. C programmers fall back on strtok(), but this can be tricky to use properly. Besides, you are still responsible for keeping strtok() fed with new input, and I don t like the schlepp. Tokenizer is a text-parsing input stream, modelled after the (undocumented) VCL TParser class, and based on the UnderC tokenizing preprocessor front-end.

    標(biāo)簽: Tokenizer necessary standard complex

    上傳時(shí)間: 2013-12-16

    上傳用戶:whenfly

  • Welcome to UnderC version 1.2.9w This package consists of the executable (UCW), a default script

    Welcome to UnderC version 1.2.9w This package consists of the executable (UCW), a default script file, this file, and the library files. It is important that the header files end up in a include subdirectory of the directory where UCW is found. If you unzip this file using its path information ( use folder names ) this will automatically happen. You can optionally specify the UnderC directory with the environment variable UC_HOME note that this points to the directory containing ucw.exe. If you do this, then you can copy the executable anywhere and it will still be able to find the header files.

    標(biāo)簽: executable consists Welcome package

    上傳時(shí)間: 2015-12-18

    上傳用戶:baiom

  • This example streams input from a ADC source to a DAC. An analog signal is acquired block-by-block

    This example streams input from a ADC source to a DAC. An analog signal is acquired block-by-block into SDRAM from the ADC (an AD9244 in this example). The frames are then output with a one-frame delay to the DAC (an AD9744 in this example). In this example, no processing is done on the frames. They are passed unaltered.

    標(biāo)簽: block-by-block acquired example streams

    上傳時(shí)間: 2015-12-29

    上傳用戶:bjgaofei

  • Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form

    Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. Adaptive Boosting (Adaboost) implements this idea as a greedy search for a linear combination of classifiers by overweighting the examples that are misclassified by each classifier. icsiboost implements Adaboost over stumps (one-level decision trees) on discrete and continuous attributes (words and real values). See http://en.wikipedia.org/wiki/AdaBoost and the papers by Y. Freund and R. Schapire for more details [1]. This approach is one of most efficient and simple to combine continuous and nominal values. Our implementation is aimed at allowing training from millions of examples by hundreds of features in a reasonable time/memory.

    標(biāo)簽: meta-learning classifiers combining Boosting

    上傳時(shí)間: 2016-01-30

    上傳用戶:songnanhua

  • The line echo canceller (LEC) is designed to provide the maximum attainable transparent voice qualit

    The line echo canceller (LEC) is designed to provide the maximum attainable transparent voice quality for de-echoing of a PSTN or POTS connection in voice-over-LAN systems with internal delays, or on a codec end of a telecom switch,基于TI 54X/55X平臺(tái)

    標(biāo)簽: transparent attainable canceller designed

    上傳時(shí)間: 2014-01-17

    上傳用戶:qoovoop

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