LMS

此代码很完善，能很好识别人脸。很有用的识别程序(This code is perfect, can well identify the human face. Useful in identification procedures)

基于遗传算法的无功优化matlab实现方法软件包，调试基本通过，可直接下载应用，具体例子可以自己修改一下原代码(Based on Genetic Algorithm for Reactive Power Optimization method matlab package, debugging basic through direct download applications, specific examples can modify the original code)

Engineering anna university electronics department Engineering anna university electronics department

this simulation of motor

Small MatLab routine to perform a fast fourier transformation to determine the dominant frequencies in a time response

说明：  扩展卡尔曼滤波例程，data为数据，EKF是处理数据的函数(Extended Kalman filter routine, data for the data, EKF is a function of processing data)

The Engineering Vibration Toolbox is a set of educational programs written in Octave by Joseph C. Slater. Also included are a number of help files, demonstration examples, and data files containing raw experimental data. The codes include single degree of freedom response, response spectrum, finite elements, numerical integration, and phase plane analysis. (The Toolbox is a set of educational programs written in programs by Jo seph C. Slater. Also included are a number of HE p files, demonstration examples. and data files containing raw experimental dat a. The codes include single degree of freedom're sponse, response spectrum, finite elements, numerical integration. and phase plane analysis.)

Li near r egr essi on, acti ve learning We arriv ed at the lo gistic regression model when trying to explicitly model the uncertainty about the lab els in a linear c la ss ifier. The same genera l modeling approach p e rmits us to use line ar predictio ns in var ious other co ntexts as well. The simplest of them is regress ion where the go al is to pr e dict a con tin uous resp onse y t ∈ R to e ach example ve ctor. Here to o fo cusing on linear predictions won’t b e inherently limiting as linear predictions can b e easily extended (ne xt lecture).

es una aplicacion de un diseñ o facorial de 2 ala tres con su grafica de cubo, efectos principales.

The primary objective of the QRD-M detector is to identify the candidate list. The QRD-M algorithm is a breadth-first tree search. It views all the branches it will ever consider for a given stage of the detection tree and then rejects all but the Mi best nodes at the i-th detection stage before continuing on to the next stage.