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1.解非线性薛定谔方程有很多递归解法，分布傅里叶算法是最准确，计算复杂度最低的解法

T. R. Taha and M. J. Ablowitz, “Analytical and numerical aspects of certain nonlinear evolution equation, II, numerical, nonlinear Schroedinger equation,” J. Computat. Phys., vol. 5, pp. 203–230, 1984.

 

2. LDPC误码率阈值  1*e-2

 IEEE P802.3ca 50G-EPON Task Force, “Physical layer specifications and management parameters for 25 Gb/s and 50 Gb/s passive optical networks,” 
http://www.ieee802/3/ca/index.shtml

 

3. Full Service Access Network

http://www.fsan/

 

4. 如果神经网络输入层节点数小于prbs15的那个15，神经网络就学不到prbs的特征

Pattern recognition can be avoided when the number of inputs to the NN is equal or less than the size of a unique word of data in the training sequence (for example 15 for PRBS15) since all the 15-bit data inputs are unique, and therefore the NN can’t learn the generator polynomial.

92 and 50 Gbps TDM-PON using Neural Network Enabled Receiver Equalization Specialized for PON

 

5.The time division multiplexed passive optical network (TDMPON) has been the most popular and important infrastructure to realize fiber to the home/building (FTTH/FTTB) since it was invented in the late 1980s

DSP enabled next generation 50G TDM-PON

 

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