ukf_for_track_6_div_system

PCA算法的matlab程序。本代码是对一维信号进行PCA降维处理的matlab函数。(PCA algorithm matlab program. This code is a one-dimensional signal processing PCA dimensionality reduction matlab function.)

calssification algorithm

说明：  用matlab编写的阴历阳历转换器，检查源码没发现用matlab编写的(using Matlab prepared by the lunar calendar followed the converter to check source not found with the preparation of the Matlab)

卡尔曼滤波工具包，包括网络的配置，与节点的确定。(Kalman filter kit，Including the network configuration，and the determination of nodes )

功能描述：测试Levinson-Durbin算法 文件名：L_D_sim.m 测试用例： (1)x(n)+0.81*x(n-2)=u(n)，u(n)为高斯白噪声 (2)x(n)=u(n)+u(n-1)+u(n-2),u(n)为高斯白噪声 文件输出：两种测试用例情况下的功率谱 调用函数：function [A,E] = Levinson_Durbin_Algo(R,P) 被调用：无 作者：mingcheng 编写时间：2009-11-13 修改时间：2009-11-13 版本：V1.0 ( Function Description: Test Levinson-Durbin algorithm file name: L_D_sim.m test case: (1) x (n)+0.81* x (n-2) = u (n), u (n) is Gaussian white noise (2) x (n) = u (n)+ u (n-1)+ u (n-2), u (n) is Gaussian white noise file output: two tests use case in case of power spectrum call the function: function [A, E] = Levinson_Durbin_Algo (R, P) is called: No of: mingcheng write time :2009-11-13 modified :2009-11-13 version: V1.0 )

使用LSB算法进行图片信息隐藏的matlab代码(LSB algorithm matlab code image information hiding)

说明：  TDFD,双脊金属加载矩形波导，的基模和第一个高阶模的色散曲线计算,TM模的仿真(TDFD,双脊metal loaded rectangular waveguide, the fundamental mode and first higher order mode dispersion curve calculation, TM-mode simulation)

生成雷达回波的matlab源程序，包括噪声，线性调频等相关内容，详细注释(Generate radar echo matlab source code, including noise, chirp, detailed notes)

说明：  通过对周期性电压电流波形的起始时间与其相应的各 次谐波分量初始相位之间的关系进行研究，指出谐波源的特 性可以由其在基波电压初相位为零时的特性所唯一确定(Periodic voltage and current waveforms on the start time of its corresponding harmonic component of the relationship between the initial phase of research, pointed out that the characteristics of harmonic sources can be its initial phase in the fundamental zero-voltage characteristics of the CD a definite)

说明：  经典的信号稀疏分解算法MP的实现。随着迭代次数增大，恢复的信号越精确。(The classic signal sparse decomposition algorithm MP . With the number of iterations increases, the more accurate the signal is recovered)