一个很Q的留言板,下载不后悔 !功能说明: 支持cookies 支持少数UBB(颜色/URL) 支持自动超链接 支持表情(自带56个,最多可扩充到60个) 支持头像(自带8个,可在皮肤里增加大小无限制)
上传时间： 2013-12-25
上传用户：er1219
playfair加密解密算法 其中i与q绑定在一起希望大家能够喜欢
上传时间： 2013-12-17
上传用户：ainimao
临床医药试验：Gehan s Two Stage Design
上传时间： 2013-12-10
上传用户：qw12
临床医药试验:Simon s Two stage Design
上传时间： 2014-01-10
上传用户：weiwolkt
*** *** *** *** *** *** ***** ** Two wire/I2C Bus READ/WRITE Sample Routines of Microchip s ** 24Cxx / 85Cxx serial CMOS EEPROM interfacing to a ** PIC16C54 8-bit CMOS single chip microcomputer ** Revsied Version 2.0 (4/2/92). ** ** Part use = PIC16C54-XT/JW ** Note: 1) All timings are based on a reference crystal frequency of 2MHz ** which is equivalent to an instruction cycle time of 2 usec. ** 2) Address and literal values are read in octal unless otherwise ** specified.
标签： Microchip Routines Sample WRITE
上传时间： 2013-12-27
上传用户：ljmwh2000
Muscl Euler Two dimensions
标签： dimensions Muscl Euler Two
上传时间： 2013-12-07
上传用户：363186
measure through the cross-entropy of test data. In addition, we introduce two novel smoothing techniques, one a variation of Jelinek-Mercer smoothing and one a very simple linear interpolation technique, both of which outperform existing methods.
标签： cross-entropy introduce smoothing addition
上传时间： 2014-01-06
上传用户：qilin
现代雷达普遍采用相参信号处理,而如何获得高精度基带数字正交( I , Q) 信号是整个系统信号处理成败的关键,以前通常的做法是采用模拟相位检波器得到I、Q信号,其正交性能一般为:幅度平衡在2 ％ 左右, 相位正交误差在2°左右,即幅相误差引入的镜像功率在- 34dB 左右。这限制了信号处理器性能的提高, 为此, 近年来提出了对低中频直接采样恢复I、Q 信号的数字相位检波器。随着高位、高速A/ D 的研制成功和普遍应用,使得数字相位检波方法的实现成为可能。 对信号进行中频直接采样和数字正交处理后,产生的I 支路和Q 支路信号序列在时间上会错开一个采样间隔,需要进行定序处理,恢复成同步输出的I、Q 两路信号序列。
上传时间： 2016-12-27
上传用户：yxgi5
％ 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, ％ [W1,W2,critvec,iteration,lambda]=marq(NetDef,W1,W2,PHI,Y,trparms) ％ trains the network with the Levenberg-Marquardt method. ％ ％ The activation functions can be either linear or tanh. The ％ network architecture is defined by the matrix NetDef which ％ has two rows. The first row specifies the hidden layer and the ％ second row specifies the output layer.
标签： Levenberg-Marquardt desired network neural
上传时间： 2016-12-27
上传用户：jcljkh
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 , which has of two ％ rows. The first row specifies the hidden layer while the second ％ specifies the output layer.
标签： recursive prediction algorithm Gauss-Ne
上传时间： 2016-12-27
上传用户：ljt101007
