henonowntry2

说明：  提出了正交频分复用(O FDM ) 系统中一种新的载波频偏估计算法L 载波频偏估计过程可分 为获取和跟踪, 其中, 获取过程和时间同步是同时完成的L新算法可实现的最大载波频偏获取范围 是整个信号带宽的一半L新的跟踪算法是一个最大似然算法, 在加性白噪声高斯信道(AW GN ) 下, 当N (训练序列长度的一半) 等于128 时, 其性能比Schm idl 算法提高约7127 dB 在多经信道下, 当 信噪比不是很高时, 新算法仍具有优势L(new carrier f requency offset est imat ion scheme in o rthogonal f requency division mu lt ip lex ing (O FDM ) system is p ropo sed. The carrier f requency offset est i2 mat ion includes acqu isit ion and t rack ing, and acqu isit ion as w ell as t im ing synch ro2 n izat ion can be perfo rmed simu ltaneou sly w ith h igh accu racy. The max imum acqu i2 sit ion range can be up to one half of overall signal bandw idth. The p ropo sed t rack2 ing est imato r is a max imum 2likelihood est imato r, and in AW GN channel, abou t 7127dB imp rovemen t is ob tained compared to the Schm idl’s algo rithm w hen N = 128 in mu lt ipath channel, the p ropo sed algo rithm wo rk s w ell at moderate SNR.)

非负矩阵分解，聂飞平老师再2014年发表的Robust Manifold Nonnegative Matrix Factorization文中提出的算法(A Robust Manifold Nonnegative Matrix Factorization algorithm was proposed by teacher nie feiping in 2014)

信号处理技术源代码系列4，版权为原作者所有，使用者与原作者联系。(Signal processing technology source code Series 4, the copyright for the original author of all, the user contact with the original author.)

模式识别 MATLAB 的工具箱,比较实用,包括SVM,IICA,PCA,NN等等模式识别算法.，已通过测试。 (MATLAB toolbox of pattern recognition, more practical, including SVM, IICA, PCA, NN pattern recognition algorithms. Has been tested.)

a BFSK modulator and demodulator

this is miller rabin source code

新型的蝙蝠算法程序代码，可用于各种工程优化，生产调度，组合函数优化等复杂问题。具有高效的搜索效率。(The new bat algorithm code, can be used for a variety of engineering optimization, production scheduling, and other complex combination of function optimization problems. A highly efficient search efficiency.)

matlab中，用于求正态分布的累积分布函数的逆函数(matlab for seeking a normal distribution of the inverse function of the cumulative distribution function)

计算信号的模糊熵，其中的输入为一维离散时间序列(Calculate the fuzzy entropy of the signal, in which the input is one-dimensional discrete time series)

model of Inverted Pendulum