JIANXIEBO

实现稀疏贝叶斯模型的一个有效的学习算法的matlab函数包(Sparse Bayesian models to achieve an effective learning algorithm matlab function package)

FSK一个简单易懂的调制程序，适合初学者，或者是需要简单不复杂的下载者(FSK modulation of a straightforward procedure, suitable for beginners, or simply do not need to download those complex)

何强老师的《matlab可扩展编程》的代码，相当实用可以参考(He Qiang teacher " matlab scalable programming" code, can be very useful reference)

说明：  MATLAB 干系结构计算程序时候matlab有限元计算新手学习(MATLAB computation program stakeholders when novice learning finite element matlab)

function Px=overlay(N,omega,A,sigma,num) OVERLAY Forms multiple power spectral density estimates. ------- USAGE Px=overlay(N,omega,A,sigma,num) Calculates the periodogram using an ensemble of realizations of a process consisting of a sum of complex exponential in white noise. N : length of the signal omega : vector containing the sinusoid frequencies A : vector containing the sinusoid frequencies sigma : the variance of the white noise num : size of the ensemble (number of periodograms)

一篇基于三维的传感器网络部署算法的论文希望和大家一起学习(wsn)

a code written to find the different values of eeg

Monte Carlo nonchronological Generation

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.)

packet error rate when wireless body area network sensor node communicates to the destination coordinator through wireless link in the presence of single relay