KMP-in-matlab

Kfisher算法基于MATLABKfisher算法基于MATLABKfisher算法基于MATLAB(Kfisher algorithm is based on MATLABKfisher algorithm is based on MATLABKfisher algorithm is based on MATLAB)

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)

creates a minimum phase wavelet for impulsive sources

ber for bpsk modulation

这是一个bpsk调制的ofdm系统仿真程序。(bpsk-ofdm)

说明：  实现jacobi迭代的matlab程序，输出迭代矩阵并显示每次迭代的结果(Matlab program for Jacobi iteration)

Persian calender mfile 1392 in matlab

设计一个一维wiener滤波器，并以平稳信号加噪为输入，得到该平稳信号的估计信号，并求出最小均方误差。(Design a one-dimensional wiener filter, and to smooth the input signal plus noise to get the estimated signal of the stationary signal, and find the minimum mean square error.)

c est programme pour afficher les lobs d un antenne

曲柄滑块机构的运动学仿真分析，分析各个杆的速度、位移、加速度曲线，以及曲柄滑块机构的动画。(Kinematics simulation analysis of the slider-crank mechanism)