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基于特征目标跟踪程序 matlab 程序(基于特征目标跟踪程序)

root finding by incremental search

Optical flow or optic flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer (an eye or a camera) and the scene.[2][3] The concept of optical flow was first studied in the 1940s and ultimately published by American psychologist James J. Gibson[4] as part of his theory of affordance. Optical flow techniques such as motion detection, object segmentation, time-to-collision and focus of expansion calculations, motion compensated encoding, and stereo disparity measurement utilize this motion of the objects surfaces and edges.[5][6]

编写程序完成不同滤波器的图像频域降噪和边缘增强的算法并进行比较，得出结论,效果很好，多种方法工你选择，文档中包含图片( Image Frequency noise reduction and edge enhancement algorithms to program completion and compare different filters, concluded that the effect is very good, work a variety of methods to choose from, the document contains a picture)

OFDM峰均比经典算法matlab程序，包括PTS，SLM，限幅等(OFDM PAPR reducing source codes,including PTS SLM and Cliping)

基于梯度法（MIT-MRAC）的模型参考自适应控制的程序(Gradient-based method of model reference adaptive control procedures)

说明：  博弈论相关，一些matlab练习的例程，希望能有点参考价值。(Fuzzy Bi-cooperative games in multilinear extension form)

　计算机人脸识别技术( Face Reocgnition)就利用计算机分析人脸图像,从中提取出有效的识别信息,用来辨认身份的一门技术。[ 1 ]即对已知人脸进行标准化处理后,通过某种方法和数据库中的人脸样本进行匹配,寻找库中对应人脸及该人脸相关信息。人脸自动识别系统有两个主要技术环节,一是人脸定位,即从输入图像中找到人脸存在的位置,将人脸从背景中分割出来,二是对标准化后的人脸图像进行特征提取和识别。本文中介绍的PCA (特征脸)方法就是一种常用的人脸 特征提取方法。(Computer Face Recognition Technology (Face Reocgnition) on the use of computer analysis of facial image, to extract the valid identification information used to identify the status of a technology. [1] that is known to standardize treatment of face, through a method and a database of face samples for matching, search library, the corresponding face and the face-related information. Automatic face recognition system has two main technical aspects, first, face location, that is, from the input image to find the location of the face there, the faces will be split out from the background, the second is, the standard features of face images extraction and recognition. Described in this paper PCA (Eigenfaces) method is a common facial feature extraction method.)

多径信道中盲信道均衡的恒模算法，从恒模代价函数出发详细推导出盲信道均衡恒模 算法(Multipath channel, blind channel equalization of constant modulus algorithm, starting from the constant modulus cost function derived in detail the blind channel equalization constant modulus algorithm)

函数通过输入信号序列和函数序号，以及调制解调选择参数来完成扩频调制解调。original_seq是原始输入序列，可能是未调制序列，也可能是调制序列，walsh_num是walsh函数的序号，select选择对输入的序列进行调制还是解调。(function through the input signal sequence and function of the serial number and choice of modulation and demodulation parameters to complete spread spectrum modulation and demodulation. Original_seq is the original input sequence may not be modulated sequence, and may also be modulated sequence, walsh_num walsh function of the serial number, select choice of input sequence modulation or demodulation.)