kalmanfilter

利用matlab自适应滤波器实现心电信号的去噪 自适应滤波器 心电图(De-Noising of Electrocardiogram (ECG) with Adaptive Filter Using MATLAB)

说明：  根据gloge能流公式编写的一个代码，可以绘出不同长度下光纤出射端的光场分布情况(Gloge energy flow in accordance with the formula prepared by a code, you can draw different lengths of fiber exit end of the distribution of light field)

说明：  求解随机微分方程dx=sinxdt+xdw的数值解(NUMERICAL SOLUTIONS FOR SOLVING STOCHASTIC DIFFERENTIAL EQUATIONS dx=sinxdt+xdw)

说明：  前已提出的频谱感知方法主要包括匹配滤波器检测、 能量检测、 循环平稳特征检测以及多分辨率频谱感知. 这些方法均为单节点感知方法.然而，在阴影和深度衰落情况下， 单个节点的感知结果并不可靠， 因此， 需要对多个节点的感知结果进行融合，以提高检测可靠性， 即协作感知技术. 文献采用“或” 准则对各个 CR 感知结果进行融合. 文献则提出了基于 D-S 证据理论的协作频谱感知算法，虽然该算法的性能比“或” 准则或“与”准则要好， 但需要存储大量历史信息， 算法的计算复杂度也很高. 文献中分析了采用似然比检测(likelihood ratio test， LRT) 的软判决与采用“与” 准则的硬判决的性能， 结果表明采用软判决的协作感知性能更优(Previously proposed spectrum sensing methods mainly include matched filter detection, energy detection, cyclostationary feature detection and multi-resolution spectrum sensing. These methods are all single node sensing methods. However, in the case of shadow and deep fading, the sensing results of single node are not reliable, so, It is necessary to fuse the sensing results of multiple nodes to improve the detection reliability, i.e. cooperative sensing technology. In the literature, "or" criterion is used to fuse the CR sensing results. In the literature, a cooperative spectrum sensing algorithm based on D-S evidence theory is proposed. Although the performance of the algorithm is better than "or" criterion or "and" criterion, a large amount of historical information needs to be stored, The computational complexity of the algorithm is also very high. In the literature, the performance of the soft decision based on the likelihood ratio test)

median filter in 1-D

DS-CDMA链路中加入基于子空间的PASTd多用户检测方法。系统中采用m序列阔频，可以通过高斯信道或瑞利信道。可以直接运行得到不同信噪比下的误码率曲线。(DS-CDMA link added Subspace-based multiuser detector PASTd. M sequence used in the system wide-band, Gaussian channel, or by Rayleigh channel. Get different signal to noise ratio can be run directly under the BER curves.)

基于空间平滑的MUSIC算法的MATLAB仿真程序(The MATLAB program of 5. space smooth MUSIC algorithm)

使用matlab对MAC协议的仿真源代码 MATLAB仿真csma/ca csma/cd，两个的(mac Matlab on the MAC protocol simulation source code matlab simulationcsma/ca and csma/cd)

此程序可以对信号进行小波分解和重构，并且分解的频率按从高到低排序(This program can decompose and reconstruct the signal by wavelet transform, and the decomposition frequency is sorted from high to low.)

说明：  单模光纤中相干接收QPSK信号应用了CMA算法的简单DSP示例，自带vpa仿真数据。(A simple DSP example of CMA algorithm is used to receive QPSK signals coherently in single-mode optical fibers, with VPA simulation data.)