kpca

MATLAB通信系统仿真（程序库），建立一个仿真系统(MATLAB simulation of communication systems (library), the establishment of a simulation system)

说明：  我把以前写的 C# 版的Rose 共享出来供别人学习参考。很具有学习参考价值主要涉及 GDI+ ,软件架构，和界面。对初学者很有帮助(I have previously written in C# Version of Rose shared out for others to learn from the reference. With learning reference value is mainly related to GDI+, Software architecture, and interface. Very helpful for beginners)

研究了重频参差相参脉冲串的频率估计算法。通过脉内相关积累，提高了新序列的信噪比。对新序列的相位差按参差重数抽样平均，减小了等效的相位噪声方差，利用重频参差比解相位模糊，扩大了频偏允许范围，降低了算法的信噪比门限。分析了本算法实现相参频率估计的条件，推导了相应信噪比门限的解析表达式，指出了信噪比门限与信号样本总数、参差重数、参差比之阎的关系。仿真结果表明：上述结论是正确的，在满足信噪比门限条件下，频率估计的精度接近相参脉冲串频率估计的克拉美一罗限(CRLB)。(Frequency Estimation for Staggered Coherent Pulse Train)

用matlab编程，，，实现连续属性离散化，，找出断点值(Matlab programming, and to realize the continuous attribute discretization, and find the breakpoint)

进行了Allan方差分析，并用最小二乘分段进行了噪声误差系数拟合，已经取得预期效果( Source link has yet to be found. Please, try to download it local website. )

基于susan、harris的角点检测，采用matlab编程，易于阅读(corner detection)

仿真不同占空比，等概、非等概双极性矩形随机信号的归一化功率谱密度，分析不同信号所包含的频谱分量，有无直流分量和定时分量信息 (Simulation different duty cycles, etc. There is, and so there was a non-random signal bipolar rectangular normalized power spectral density analysis of the spectral components of different signal contained, with or without DC component and timing component information)

通过matlab 平台，自己编写的Matlab程序。是关于滤波器的(the program of matlab is wrriten by myself that about sifting )

BP神经网络，自适应竞争神经网络对地震进行预测实例(BP neural network, adaptive competitive neural networks to predict the earthquake example)

说明：  采用贝叶斯正则化算法提高bp网络的性能，即L-M优化算法(The use of Bayesian regularization algorithm to improve network performance bp, that is, LM optimization algorithm)