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文件格式 This paper presents a low-power asynchronous implementation of the 80C51 microcontroller. It was rea

This paper presents a low-power asynchronous implementation of the 80C51 microcontroller. It was realized in a 0.5 &micro m CMOS process and it shows a power advantage of a factor 4 compared to a recent synchronous implementation in the same technology. The chip is fully bit compatible with the sync ...
https://www.eeworm.com/dl/639/305388.html
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通讯/手机编程 The package contains a Reed-Solomon coding and decoding program, derived partly from Phil Karn/Rob

The package contains a Reed-Solomon coding and decoding program, derived partly from Phil Karn/Robert Morelos-Zaragoza "new_rs_erasures.c". In particular the Berlekamp-Massey algorithm has not been modified. New features compared to "new_rs_erasures.c" are: - fully parameterized: code parameters ...
https://www.eeworm.com/dl/527/312820.html
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电子书籍 The Ralink 802.11n Chipset family provides solutions for PCI, PCIe and USB interfaces with both 2.4

The Ralink 802.11n Chipset family provides solutions for PCI, PCIe and USB interfaces with both 2.4 and 2.4/5GHz suppport. Each chipset consists of two highly integrated ICs (RFIC and BB/MAC IC) that fully comply with current draft IEEE 802.11n and IEEE 802.11a/b/g standards.
https://www.eeworm.com/dl/cadence/ebook/344726.html
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汇编语言 Abstract A new intelligent milometer base on a microcontroller can count the sum. By taking full u

Abstract A new intelligent milometer base on a microcontroller can count the sum. By taking full use of the processor 89s51 and E&sup2 PROM (AT24C02) and sensor of magnetism, it can count the sum of fully distance and the course of development.
https://www.eeworm.com/dl/644/353294.html
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企业管理 Joomla 收费插件:企业客户管理系统。 Our suite of components and tools are architected and programmed specifical

Joomla 收费插件:企业客户管理系统。 Our suite of components and tools are architected and programmed specifically for Joomla, the award winning CMS. jForce will provide you with: jAccounts – for your invoicing and billing needs jContacts – a new way to manage your sales funnel and business lead ...
https://www.eeworm.com/dl/632/356569.html
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数学计算 The inverse of the gradient function. I ve provided versions that work on 1-d vectors, or 2-d or 3-d

The inverse of the gradient function. I ve provided versions that work on 1-d vectors, or 2-d or 3-d arrays. In the 1-d case I offer 5 different methods, from cumtrapz, and an integrated cubic spline, plus several finite difference methods. In higher dimensions, only a finite difference/linear alge ...
https://www.eeworm.com/dl/641/363636.html
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其他书籍 不错的 PERL 教程 Find a Perl programmer, and you ll find a copy of Perl Cookbook nearby. Perl Cookbook

不错的 PERL 教程 Find a Perl programmer, and you ll find a copy of Perl Cookbook nearby. Perl Cookbook is a comprehensive collection of problems, solutions, and practical examples for anyone programming in Perl. The book contains hundreds of rigorously reviewed Perl "recipes" and thousands of examp ...
https://www.eeworm.com/dl/542/370290.html
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VHDL/FPGA/Verilog DDR SDRAM控制器的VHDL源代码

DDR SDRAM控制器的VHDL源代码,含详细设计文档。 The DDR, DCM, and SelectI/O&#8482 features in the Virtex&#8482 -II architecture make it the perfect choice for implementing a controller of a Double Data Rate (DDR) SDRAM. The Digital Clock Manager (DCM) provides the required Delay Locked Loop (DLL), Dig ...
https://www.eeworm.com/dl/663/379154.html
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人工智能/神经网络 % Train a two layer neural network with the Levenberg-Marquardt % method. % % If desired, it is p

% Train a two layer neural network with the Levenberg-Marquardt % method. % % If desired, it is possible to use regularization by % weight decay. Also pruned (ie. not fully connected) networks can % be trained. % % Given a set of corresponding input-output pairs and an initial % network, % ...
https://www.eeworm.com/dl/650/384092.html
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matlab例程 Train a two layer neural network with a recursive prediction error % algorithm ("recursive Gauss-Ne

Train a two layer neural network with a recursive prediction error % algorithm ("recursive Gauss-Newton"). Also pruned (i.e., not fully % connected) networks can be trained. % % The activation functions can either be linear or tanh. The network % architecture is defined by the matrix NetDef , w ...
https://www.eeworm.com/dl/665/384109.html
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