The Microsoft(R) Guide for Assembly Language and C Programmers By Ray Duncan PROGRAMMING FOR MS-DOS Genealogy of MS-DOS MS-DOS in Operation Structure of MS-DOS Application Programs MS-DOS Programming Tools Keyboard and Mouse Input Video Display Printer and Serial Port File Management Volumes and Directories Disk Internals MEMORY Management The EXEC Function Interrupt Handlers Installable Device Drivers Filters Compatibility and Portability MS-DOS FUNCTIONS REFERENCE IBM ROM BIOS AND MOUSE FUNCTIONS REFERENCE LOTUS/INTEL/MICROSOFT EMS FUNCTIONS REFERENCE
標簽： Programmers PROGRAMMING Microsoft Assembly
上傳時間： 2017-05-05
上傳用戶：xuanjie
基于DSP技術(shù)模數(shù)兼容的多通道數(shù)字電話系統(tǒng)設(shè)計方案。設(shè)計中采用了DSP，低比特率語音壓縮編解碼，信道復(fù)用，F(xiàn)LASH MEMORY，DSP和調(diào)制解調(diào)器通信等技術(shù)。在通用調(diào)制解調(diào)器構(gòu)成的點對點通信平臺上實現(xiàn)了兩路語音的復(fù)用，傳輸及交換。
上傳時間： 2017-05-13
上傳用戶：sunjet
Using mirror driver as filter driver in capture desktop screen operation allow system run faster than using device context MEMORY.
標簽： driver operation capture desktop
上傳時間： 2014-01-18
上傳用戶：李夢晗
KaOS is a real-time operating system that has been implemented with the basic real-time constraints and it supports dynamic MEMORY module accessing of sd/mmc cards
標簽： real-time constraints implemented operating
上傳時間： 2013-12-31
上傳用戶：cuibaigao
KaOS is a real-time operating system that has been implemented with the basic real-time constraints and it supports dynamic MEMORY module accessing of sd/mmc cards
標簽： real-time constraints implemented operating
上傳時間： 2017-05-24
上傳用戶：330402686
If you have ever wanted to store data temporarily in your Delphi Win32/.Net, C++ Builder or Kylix application, and you at the same time wanted full access to the data as if they were stored in a database table, you have the right solution here. kbmMemTable is a full TDataset compatible in MEMORY table loaded with functionality.
標簽： temporarily Builder Delphi wanted
上傳時間： 2017-05-29
上傳用戶：ljt101007
This manual describes SAMSUNG s S3C2410A 16/32-bit RISC microprocessor. This product is designed to provide hand-held devices and general applications with cost-effective, low-power, and high-performance micro-controller solution in small die size. To reduce total system cost, the S3C2410A includes the following components separate 16KB Instruction and 16KB Data Cache, MMU to handle virtual MEMORY management, LCD Controller (STN & TFT), NAND Flash Boot Loader, System Manager (chip select logic and SDRAM Controller), 3-ch UART, 4-ch DMA, 4-ch Timers with PWM, I/O Ports, RTC, 8-ch 10-bit ADC and Touch Screen Interface, IIC-BUS Interface, IIS-BUS Interface, USB Host, USB Device, SD Host & Multi-Media Card Interface, 2-ch SPI and PLL for clock generation.
標簽： This microprocessor describes S3C2410A
上傳時間： 2013-11-30
上傳用戶：GavinNeko
This tutorial presents an introduction to Altera’s Nios R II processor, which is a soft processor that can be in- stantiated on an Altera FPGA device. It describes the basic architecture of Nios II and its instruction set. The NiosII processor and its associated MEMORY and peripheral components are easily instantiated by using Altera’s SOPCBuilder in conjuction with the Quartus R II software.
標簽： processor introduction tutorial presents
上傳時間： 2014-12-08
上傳用戶：星仔
Abstract—In this paper, we propose transform-domain algorithms to effectively classify the characteristics of blocks and estimate the strength of the blocky effect. The transform-domain algorithms require much lower computational complexity and much less MEMORY than the spatial ones. Along with the estimated blocky strength,
標簽： transform-domain effectively algorithms Abstract
上傳時間： 2017-06-16
上傳用戶：zukfu
The book consists of three sections. The first, foundations, provides a tutorial overview of the principles underlying data mining algorithms and their application. The presentation emphasizes intuition rather than rigor. The second section, data mining algorithms, shows how algorithms are constructed to solve specific problems in a principled manner. The algorithms covered include trees and rules for classification and regression, association rules, belief networks, classical statistical models, nonlinear models such as neural networks, and local MEMORY-based models. The third section shows how all of the preceding analysis fits together when applied to real-world data mining problems. Topics include the role of metadata, how to handle missing data, and data preprocessing.
標簽： foundations The consists sections
上傳時間： 2017-06-22
上傳用戶：lps11188
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