Advanced--Function-Approximation

Knowledge of the process noise covariance matrix is essential for the application of Kalman filtering. However, it is usually a difficult task to obtain an explicit expression of for large time varying systems. This paper looks at an adaptive Kalman filter method for dynamic harmonic state estimation and harmonic injection tracking.(Knowledge of the process noise covariance matrix is essential for the application of Kalm an filtering. However, it is usually a difficult task to obtain an expli cit for large expression of time varying system s. This paper looks at an adaptive Kalman filter method for dynamic estimation a harmonic state nd harmonic injection tracking.)

algorithme to conversion level coleur to gris

说明：  BP神经网络进行数据分类，是一种多层前馈神经网络，该网络的主要特点是信号前向传递，误差反向传播。运用梯度下降法，(BP neural network is a multi-layer feedforward neural network for data classification. Its main characteristics are forward signal transmission and back error propagation. Using gradient descent method and BP neural network to classify data is a multi-layer feedforward neural network. The main characteristics of this network are forward signal transmission and back error propagation. Using gradient descent method,)

An integrated multidisciplinary particle swarm optimization approach to conceptual ship design

说明：  基于Matlab_simulink的系统仿真设计及应用的函数文件代码(System Simulation Based on Matlab_simulink a function of design and application file code)

statistical methods in order to extract image texture descriptors. In particular, we will focus on the Co-occurrence matrices and the Energy filters (Laws filters). They are well-known texture descriptors, fast and easy to implement and provide good results that could be used in a posterior step to perform image segmentation and object recognition.(statistical methods in order to extract image texture descriptors. In particular, we will focus on the Co-occurrence matrices and the Energyfilters (Laws filters). They are well-known texture descriptors, fast and easy to implement and provide good results that could be used in aposterior step to perform image segmentation and object recognition.)

number plate detection in matlab

几种常用分布（如泊松分布、正态分布、指数分布、均匀分布）随机变量的matlab实现方法。(Surement distribution (eg Poisson distribution, normal distribution, exponential distribution, uniform distribution) random variable matlab implementation methods.)

说明：  hslogic算法仿真,基于MATLAB/SIMULINK的LPC特征提取仿真与分析(Hslogic algorithm simulation, LPC feature extraction simulation and analysis based on MATLAB / Simulink)

this program about how to deploy sensor in certain area.