Robot_Homework1

QPSK Transmitter and I/Q Correlator Receiver is based on the technique of queing the information in a bit stream and on the receving end using FFT and some additive filters, as the addition of noise is made to infuse the need of a filter. Necessarily a Baseband filter is used. Modulation acheived at the receiving end. (QPSK Transmitter and I/Q Correlator Recei ver is based on the technique of the infor queing mation in a bit stream and on the receving end usi ng FFT and some additive filters, as the addition of noise is made to infuse the nee d of a filter. Necessarily a Baseband filter is u sed. Modulation achieved at the receiving end.)

A MATLAB toolbox for managing Elastix image warping toolbox

说明：  此代码 实现 Seg-Y文件的 读取及显示 功能，在matlab环境下开发的，完整调试通过，且附有详细的程序说明。并附有测试的 seg-y 文件。可以帮助学地球物理的，特别是学 物探 的人员实现 需要的功能！对于想要C++代码的，可以自己看懂后，自己写成C++程序，非常简单，方便！(This code implements the Seg-Y file to read and display capabilities, developed under the matlab environment, complete debugging through, and with a detailed description of the procedures. Together with the test seg-y files. Geophysical science can help, especially school staff to achieve required geophysical features! For those who want C++ code, you can read his post, written in C++ program itself is very simple and convenient!)

MATLAB code on pontriangin s maximum principle to minimise the TPBVP control trejectory

介绍基于ＭＡＴＬＡＢ平台的可视化编程． 重点介绍了数据和函数的可视化．(Introduction Based on MATLAB platform visual programming. Focuses on data and function visualization.)

this support file can be used in matlab by copying it to the current working directory. using this u can access commands like zvect etc.

说明：  生物特征识别技术作为一种身份鉴别手段具有独特的优势。在生物特征识别系统中, 采集数据的预处 理是不可或缺的环节。以人脸识别为例, 介绍了一种在复杂背景的彩色图像中, 基于颜色和知识的生物特征预处理 方法。首先利用颜色信息从图像中分割出类肤色区域, 然后运用人脸几何特征和眼睛的提取定位人脸。仿真实验表 明, 该算法能较为准确地定位彩色图像中的正面或小角度偏转的人脸, 具有较快的运算速度。(Biometrics as an identification tool has a unique advantage. In biometric systems, collect data preprocessing is an indispensable link. To face recognition, for example, presents a complex background in color images based on color and knowledge of the biological characteristics of pretreatment. The first to use color information to separate out the classes from the image color region, and then use face extraction of geometrical features and eye positioning face. Simulation results show that the algorithm can be more accurately locate color images in a positive or small-angle deflection of the face, with a faster computational speed.)

pitchn,功能：求一句话的语音基音频率包络。(pitchn matlab)

说明：  含有通常所需的自适应滤波的AR预测过程模型，能够顺利的运行！(this file has the adaptive filter matlab source code ,you can run it smoothly)

optimization algorithm optimization algorithm