time-series

matlab中fsolve语句数值效果较好，采用的解法是将方程组转化为最小二乘问题，调用指令lsqnonlin求解，所以，它参数的选取和优化指令的用法是一致的(matlab numerical results in fsolve statement better solution is to use the equations into a least squares problem, call the command lsqnonlin solution, therefore, it is parameter selection and optimization of instruction is consistent with the usage of)

本书基于MATLAB 5.2版，提供了使用MATLAB的实践性指导。 MATLAB已成为适合多学科、多种工作平台的功能强大、界面友好 、语言自然并且开放性强的大型优秀应用软件，同时也已成为 国内外高等院校高等数学、数值分析、数字信号处理、自动控制 理论以及工程应用等课程的基本教学工具。本书按逻辑编排， 自始至终用实例描述；内容完整且每章相对独立； 是一本简明的MATLAB参考书，既适用于初学者，也适用于高级 MATLAB用户。对MATLAB与FORTRAN、C等语言结合的描述更是所 有MATLAB书籍中少有的一大特色。 本书适合作为理工科高等院 校研究生、本科生教学用书，也可作为广大科研工程技术人员的 自学用书。(book based on MATLAB version 5.2, providing for the use of MATLAB practical guidance. MATLAB has become suitable for multidisciplinary, multi-platform work of the powerful and friendly interface, natural language and the open-large outstanding software application, but also domestic and foreign institutions of higher learning has become a Higher Mathematics, Numerical analysis, digital signal processing, automatic control theory and engineering applications of the basic curriculum teaching tool. By the logic of the book presentation, from beginning to end, with examples description; As complete and relatively independent of each chapter; is a concise reference book MATLAB, applies to both beginners, and it also applies to senior MATLAB users. On MATLAB and FORTRAN. languages such as C with)

进行了Allan方差分析，并用最小二乘分段进行了噪声误差系数拟合，已经取得预期效果( Source link has yet to be found. Please, try to download it local website. )

说明：  kalman滤波器设计的英文资料，内容很全！(kalman filtering theory and practice using matlab (second edition))

说明：  嵌入式轨道检测仪在客运专线的应用Track detector embedded in the Passenger Dedicated Line(Track detector embedded in the Passenger Dedicated Line)

MMSE detection of frequency offset

ripper matlab code for classification

This the ICBI opensourse, [image processing] (Interpolation based super resolution. The result is better than bi-cubic)

我自己写的程序，基于边际粒子滤波的非相关MIMO雷达参数估计，论文可以找我要，已经投稿，比普通的粒子滤波效果要好(RAO-blackweillized particle filter to estimate noncherent MIMO RADAR)

To estimate the input-output mapping with inputs x ％ and outputs y generated by the following nonlinear, ％ nonstationary state space model: ％ x(t+1) = 0.5x(t) + [25x(t)]/[(1+x(t))^(2)] ％ + 8cos(1.2t) + process noise ％ y(t) = x(t)^(2) / 20 + 6 squareWave(0.05(t-1)) + 3 ％ + time varying measurement noise ％ using a multi-layer perceptron (MLP) and both the EKF and ％ the hybrid importance-samping resampling (SIR) algorithm. (To estimate the input-output mapping with inputs x and outputs y generated by the following nonlinear, nonstationary state space model: x (t+ 1) = 0.5x (t)+ [25x (t )]/[( 1+ x (t)) ^ (2)]+ 8cos (1.2t)+ process noise y (t) = x (t) ^ (2)/20+ 6 squareWave (0.05 (t-1 ))+ 3+ time varying measurement noise using a multi-layer perceptron (MLP) and both the EKF and the hybrid importance-samping resampling (SIR) algorithm.)