ANN_network_BP

S Paramters in MAtlab

可靠度的快速算法 强度分布 指数分布 应力分布 正态分布(Reliability of the fast algorithm exponential intensity distribution normal stress distribution)

ACADO Toolkit is a software environment and algorithm collection written in C++ for au-tomatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control as well as state and parameter estimation. It also provides (stand-alone) eciently implemented Runge-Kutta and BDF integrators for the simulation of ODE s and DAE s.

FIR 底通和带通滤波器和IIR 底通和带通滤波器，多姿态，多角度，有不同光照,抑制载波型差分相位调制，这个有中文注释，看得明白，均值便宜跟踪的示例，使用大量的有限元法求解偏微分方程，感应双馈发电机系统的仿真，包含了阵列信号处理的常见算法。 ( Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, Much posture, multi-angle, have different light, Suppressed carrier type differential phase modulation, The Chinese have a comment, understand it, Example tracking mean cheap, Using a large number of finite element method to solve partial differential equations, Simulation of doubly fed induction generator system, Contains a common array signal processing algorithm. )

matlab implementation of wimax downlink

用matlab仿真非线性薛定谔方程模拟光在光纤的传输(Matlab simulation of nonlinear Schrö dinger equation with the simulation of light in optical fiber transmission )

关于神经网络算法在MATLAB中对典型二阶对象进行仿真，并得到其阶跃响应。。(MATLAB)

Hadamard Transform for PAPR reduction in OFDM

Elm和KernelElm算法matlab实现，带有详细注释，并且提供了UCI数据集多个数据库供测试(Elm and Kelm algorithm, with detailed notes, and provides multiple UCI data set for testing)

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.)