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数据结构 HDOJ ACM input:The input consists of T test cases. The number of test cases ) (T is given in the fi
HDOJ ACM
input:The input consists of T test cases. The number of test cases ) (T is given in the first line of the input. Each test case begins with a line containing an integer N , 1<=N<=200 , that represents the number of tables to move. Each of the following N lines contains two positive integers ...
驱动编程 a sample WDM stream class video capture driver that supports two IEEE 1394 digital cameras. The sam
a sample WDM stream class video capture driver that supports two IEEE 1394 digital cameras.
The same driver may be able to support other digital cameras that conform to 1394-based Digital Camera Specification from 1394 Trade Association.
Digital camera supported by dcam.sys is a data source that pr ...
压缩解压 We describe and demonstrate an algorithm that takes as input an unorganized set of points fx1И
We describe and demonstrate an algorithm that takes as input an
unorganized set of points fx1&#1048576 &#1048576 xng &#1048576 IR3 on or near an unknown
manifold M, and produces as output a simplicial surface that
approximates M. Neither the topology, the presence of boundaries,
nor the geometry ...
微处理器开发 Flex chip implementation File: UP2FLEX JTAG jumper settings: down, down, up, up Input: Reset -
Flex chip implementation
File: UP2FLEX
JTAG jumper settings: down, down, up, up
Input:
Reset - FLEX_PB1
Input n - FLEX_SW switches 1 to 8
Output:
Countdown - two 7-segment LEDs.
Done light - decimal point on Digit1.
Operation:
Setup the binary input n number.
Press the Reset switch.
See the count ...
数值算法/人工智能 Batch version of the back-propagation algorithm. % Given a set of corresponding input-output pairs
Batch version of the back-propagation algorithm.
% Given a set of corresponding input-output pairs and an initial network
% [W1,W2,critvec,iter]=batbp(NetDef,W1,W2,PHI,Y,trparms) trains the
% network with backpropagation.
%
% The activation functions must be either linear or tanh. The network
...
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,
% ...
其他 In some graphs, the shortest path is given by optimizing two different metrics: the sum of weights o
In some graphs, the shortest path is given by optimizing two different metrics: the sum of weights of the edges and the number of edges. For example: if two paths with equal cost exist then, the path with the least number of edges is chosen as the shortest path. Given this metric, you have find out ...
模拟电子 视频差分放大器带来低电压应用的多功能性
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The LT&reg;6552 is a specialized dual-differencing 75MHzoperational amplifier ideal for rejecting common modenoise as a video line receiver. The input pairs are designedto operate with equal but opposite large-signal differencesand provide exceptional high frequency commonmode rejection ( ...
模拟电子 小面积和大面积光电二极管的低噪声放大器
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Photodiodes can be broken into two categories: largearea photodiodes with their attendant high capacitance(30pF to 3000pF) and smaller area photodiodes withrelatively low capacitance (10pF or less). For optimalsignal-to-noise performance, a transimpedance amplifi erconsisting of an invert ...
模拟电子 DAC技术用语 (D/A Converters Defini
Differential Nonlinearity: Ideally, any two adjacent digitalcodes correspond to output analog voltages that are exactlyone LSB apart. Differential non-linearity is a measure of theworst case deviation from the ideal 1 LSB step. For example,a DAC with a 1.5 LSB output change for a 1 LSB digital codec ...