LDPC_BSN.rar

新型改进光双二进制传输的编解码方案 提出了改进型光双二进制信号在高速率(≥10Gbit／s)传输时预编码的一种新方案。通过分析编解码过 程，证明该信号传输时不易受码间干扰影响，能用二进制强度调制一直接检测的系统接收信号。仿真产生了该信 号的2种码型。结果表明，采用色散补偿技术能使MD NRZ和MD．RZ信号在长距离传输后克服眼图失真，MD-RZ 信号比MD．NRZ信号在传输后有更低的误码率。(Abstract：Anovel pre-coding schemeformodified optical duobinary signalswasproposed．It couldbe applied to缸ansmit high speed data mte signals(≥ 10Gbit／s)．Through analyzing the process of coding and decoding，It Was demonstrated thatmodified opticalduobinary sign alshave capabilityin reductionofpulse—to-pulseinteraction ， and couldbe di． recaymeasured through aconventionalbinaryintensitymodulationdirectdetection(IM—DD)receiver．Twomodified optical duobinary sign als’formats were simulated to generate．Sim ulation results show that MD．NRZ and MD-RZ signals’ formats Can avoid the eye diagrams’distortion for long—distance transmission，if the dispersion Can be compe nsated in each amplifier span．Moreover,theMD-RZ signalhaslowerBER than theIVID-NRZ signal afterlong-distance comm．unication．)

ARES Lab Machine learning

ODE function 求解一阶线性常微分方程(ODE function for solving first-order linear ordinary differential equations)

can generate tutorial of image processing operations and generate transformation functions

本文对变步长(VSS) 自适应滤波算法进行了分析,针对输入信号高度相关时算法收敛速度下降导致性能下降 的问题,提出了一种解相关变步长归一化LMS 自适应算法,引入相关性原理,使得算法保持良好的收敛性能。计算机仿真 结果与理论分析相一致(In this paper , we discuss and analyze the variable step2size adaptive algorithm(VSSLMS) ,in which the descent of it s convergence speed leads to the reduction of performance when input signals are heavily correlated . As a result , we propose an uncorrelated variable step2size normalized LMS adaptive algorithm. Due to the principle of correlation ,the algo2 rithm can achieve good performance. The simulations agree to the theoretical analysis.)

buck-boost升降压电路，输入电压为100v，输出电压为160v，采用PI控制调节系统占空比(boost-buck circuit, the input voltage is 100v, the output voltage of 160v, using PI duty cycle control regulation system)

说明：  使用蛙跳算法来解决一个工厂流程问题的事例(Frog hopping algorithm solves factory process problems)

还是无线损耗的模型仿真，运行过的，不错，可以试下(Or wireless loss model simulation, run-off, yes, you can try it)

用Rosen梯度投影法求解约束多维函数的极值 用外点罚函数法求解线性等式约束多维函数的极值 用外点罚函数法求解一般等式约束多维函数的极值 用内点罚函数法求解约束多维函数的极值 用混合罚函数法求解约束多维函数的极值 用混合罚函数加速法求解约束多维函数的极值 用乘子法求解约束多维函数的极值 用坐标轮换法求解约束多维函数的极值 用复合形法求解约束多维函数的极值 (Rosen gradient projection method for solving constrained multi-dimensional functions the extremal with outside point penalty function method for solving linear equality constraints multidimensional function the extremal with outside point penalty function method for solving the general extremum with of equality constraints multidimensional function within point penalty function method for solving constrained multidimensional function extremum with mixed penalty function method for solving constrained multidimensional function extremum with mixed penalty function acceleration method for solving constrained multidimensional function extremum multiplier method for solving constrained multidimensional function extremum with coordinate alternation method for solving constrained the multidimensional function extremum complex method for solving constrained multidimensional function extremum)

PID参数的整定就是合理的选择PID三参数。从系统的稳定性、响应速度，超调量和稳态精度等各方面考虑问题，三参数的作用如下：(PID parameter setting is the reasonable choice of three parameters of PID. From the system stability and response speed, overshoot and steady state accuracy and so on various aspects to consider problem, the role of the three parameters are as follows:)