RUNE_multicast

colleration in fingerprint

蒙特卡罗方法的计算机模拟，主要是散射方面(failed to translate)

matlab gui设计学习手册》 第二版 2012新版 第八章源码 matlab gui the second edition(matlab gui the second edition)

包括各种经典功率谱估计方法，如welch、周期图等(Including a variety of classic power spectral estimation methods, such as welch, cycle maps )

Building GUIS with Matlab

说明：  气候态数据处理，计算绘制数据分析图，包括经度、纬度、速度、运输量(Calculated data analysis to draw maps, including longitude, latitude, speed, traffic volume)

This file is lateral vehicle velocity observer which was verified via Carsim software and matlab/simulink.

coil hz circuit with voice pc card

最小均方濾波器是一類可通過最小化誤差訊號之均方值而修正濾波器係數，以類比所需理想濾波器的自適應濾波器，其中作為修正依據的誤差訊號為理想參考訊號與實際輸出訊號之差。該種濾波器所用之最小均方法只以當前之訊號誤差值為準進行修正，是一種隨機梯度下降法。最小均方法係由斯坦福大學的Bernard Widrow教授及他的首位博士班學生Marcian Hoff於1960年提出。最小均方濾波器屬於常見的自適應濾波器種類之一。(The minimum mean square filter is an adaptive filter that can correct the filter coefficients by minimizing the mean square value of the error signal to analogize the desired ideal filter. The error signal used as the correction reference is the ideal reference signal and the actual output. The difference between the signals. The minimum averaging method used in this kind of filter is only corrected based on the current signal error value, which is a stochastic gradient descent method. The minimum mean method was proposed in 1960 by Professor Bernard Widrow of Stanford University and his first PhD student, Marcian Hoff. The least mean square filter is one of the common types of adaptive filters.)

RLS identification algorithm. RLS is used to identify a discrete time model of a plant operating in open-loop based on the recursive least squares method and the UD factorization for updating the adaption gain matrix (F).