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找到约 222 项符合 MiddleWare-layer 的查询结果

VHDL/FPGA/Verilog FPGA-based link layer chip S19202 configuration

FPGA-based link layer chip S19202 configuration
https://www.eeworm.com/dl/663/338930.html
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电子书籍 MultiBand OFDM Physical Layer Proposal

MultiBand OFDM Physical Layer Proposal
https://www.eeworm.com/dl/cadence/ebook/341550.html
下载: 80
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驱动编程 iMX21 SDHC driver(PDD layer)

iMX21 SDHC driver(PDD layer)
https://www.eeworm.com/dl/618/348692.html
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其他嵌入式/单片机内容 YAMAHA YMU762 IC MA-3 Sound Middleware sample source code , Include device driver , Operation API

YAMAHA YMU762 IC MA-3 Sound Middleware sample source code , Include device driver , Operation API
https://www.eeworm.com/dl/687/350842.html
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Internet/网络编程 以太网物理层接口器件-10/100 Mbps Fast Ethernet Physical Layer TX/FX Single Chip Transceiver

以太网物理层接口器件-10/100 Mbps Fast Ethernet Physical Layer TX/FX Single Chip Transceiver
https://www.eeworm.com/dl/620/353642.html
下载: 187
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其他 this an example showing how the threading policy work ! It is the topic of the middleware. This prog

this an example showing how the threading policy work ! It is the topic of the middleware. This program involves CORBA also.
https://www.eeworm.com/dl/534/372832.html
下载: 142
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系统设计方案 how to use the bluetooth module in the HCI layer

how to use the bluetooth module in the HCI layer
https://www.eeworm.com/dl/678/376611.html
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操作系统开发 文件操作系统(UcosII) File system s OS Layer file

文件操作系统(UcosII) File system s OS Layer file
https://www.eeworm.com/dl/531/377937.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
下载: 168
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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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