suanfa

In his 1960 famous publication (“A new approach to linear filtering and prediction problems”, Trans.ASME J. Basic Engineering., vol 82, March 1960, pp 34-45), Rudolf Kalman based the construction of the state estimation filter on probability theory, and more specifically, on the properties of conditional Gaussian random variables. The criterion he proposed to minimize is the state vector covariance norm, yielding to the classical recursion : the new state estimate is deduced from the previous estimation by addition of a correction term proportional to the prediction error (or the innovation of the measured signal).

This a self-contained package including the 2-D DWT and inverse DWT routines. The included matlab routines are used to generate noisy example images and disply the result of denoising.

one dimension problem kalman filter, using velocity information

基于LMS算法的自适应滤波器的MATLAB仿真，阶数、收敛因子可调，，希望对大家有帮助...(LMS-based adaptive filter algorithm the MATLAB simulation, the order of convergence factor Adjustable, we want to help ...)

point addition of elliptic curve over galois field

用积分最小值准则来求P,PI,PID的个参数，其中Gc是校正器的传递函数,kp为比例系数， Ti为积分时间常数，Td为微分时间常数，输入参量vars为带迟滞--惯性环节模型的[K T τ]，已知参数k=vars（1）；T=vars（2）；ι=vars（3）,iC=vars(4) (Minimum criteria of integral seeking P, PI, PID' s parameters, which Gc is the corrector transfer function, kp is proportional coefficient, Ti for the integral time constant, Td for the differential time constant, input parameters vars as with hysteresis- inertia model of [KT τ], known parameters k = vars (1) T = vars (2) ι = vars (3), iC = vars (4) )

编写PCA算法的程序，对想要学习如何利用PCA算法进行故障诊断的同学很有帮助！( a PCA algorithm program, for the person who want to learn how to use PCA algorithm for fault diagnosis of classmates the progran is very helpful!)

MATLAB软件实现灰色关联分析的源程序(grey_relational_analysis by matlab)

在matlab下进行滑模变结构控制仿真系统的研究。希望对研究控制的同志有帮助。本人做论文时写的(Matlab under the sliding mode variable structure control simulation system. I hope the study will help control comrades. I used to do paper)

TCL Files to compare AODV,DSR and AntHocNet