Adaptive_lab1

可以随机的将N个数分配到N个位置上，特别是在一些随机分配的问题上有用(N number will be randomly assigned to the N positions, particularly in a number of issues were randomly assigned to be useful)

万哲先的经典版本《代数和编码》，对于编码方面学习具有重要意义。(Zhe-Xian Wan classic version algebra and coding, for the coding to learn of great significance.)

TRANSIENT AND SMALL SIGNAL ANALYSIS OF MULTI MACHINE CONFIGURATION

sphit algorithm for simulink

说明：  防真CDMA的程序,仅供大家参考.防真环境为MATLAB6.5以上的版本.(real-CDMA procedures, only for reference. The environment for real-Matlab6.5 above version.)

ANN code to train it

针对信号分选的常见算法，包括sdif（序列差直方图）算法，可以解决类似于固定重频信号，抖动重频信号，滑变重频信号和参差重频信号的分选等(For several common signal sorting algorithms, including pri transform, sdif (sequence difference histogram) algorithm, cdif (cumulative difference histogram) algorithm, can solve similar fixed repetition frequency signals, jitter signal repetition, repetition becomes slippery sorting and mixed signal repetition frequency signals, etc.)

A simple matlab tutorial

基于加权最小二乘辨识的自适应极点配置算法(adaptive control based on system identification & pole-placement)

运动目标的检测是视频处理过程中后续跟踪技术的基础,其检测结果的好坏直接关系到能否跟踪到运动目标及跟踪准确度问题。运动目标的检测就是从机器视觉系统获取的序列图像中把前景,运动,目标分割提取出来的过程。本文描述了机器视觉中运动目标检测的主要方法?介绍了其中背景减除法的几种典型算法的原理、特点、背景差分法的基本流程?主要包括四个步骤为,预处理、背景建模、目标检测、后处理。然后在matlab环境下运用背景减除算法完成了视频中运动目标的检测,并对检测结果图像进一步处理.(Moving target detection is a follow up video processing technology based on the test results is directly related to the ability to track moving targets and tracking accuracy. Moving target detection prospects, movement, object segmentation extracted from the sequence of images acquired by the machine vision system. This paper describes the main method of moving target detection machine vision ? introduced the principle of which several typical algorithms for background subtraction method, the basic flow characteristics, background difference method ? mainly includes four steps, preprocessing, background modeling target detection, post-processing. Use background subtraction algorithm in Matlab environment complete video moving target detection, and detection results of images for further processing.)