20065523575588940

扩频通信中的扩频调试模块与仿真用到伪随机序列码和MPSK调制(Spread Spectrum)

地质模型 使用此程序可以进行地质模型的有限差分计算 数学模型 (Use this procedure geological model geological model can be calculated by finite difference mathematical model)

说明：  实现几何均值分解，应用在MIMO系统中实现于预编码(Achieve geometric mean decomposition, used in MIMO systems to achieve the pre-coding)

HOUGH变换检测圆 MATLAB程序(HOUGH transform circle detection MATLAB program)

MATLAB图像处理——螺纹识别系统 源程序(MATLAB image processing to realize thread to identify the source code)

该程序是利用PID控制器进行直线一级倒立摆仿真，能够正确实现在matlab8.0软件上的的仿真，通过调节参数画出仿真图(The use of a PID controller for linear inverted pendulum simulation)

说明：  采用最新的人工智能算法，对城市问题（tsp）问题进行了很好的解决(Using the latest artificial intelligence algorithms, to urban problems (tsp) had a very good problem to solve)

基于增广矩阵束的L型阵列的二维波达角估计(Beam based on the augmented matrix of two-dimensional array of L-type directe of arrival estimation)

抑制载波型差分相位调制，music高阶谱分析算法，主同步信号PSS在时域上的相关仿真，与理论分析结果相比，包括最小二乘法、SVM、神经网络、1_k近邻法,合成孔径雷达（SAR)目标成像仿真，matlab程序运行时导入数据文件作为输入参数，重要参数的提取。( Suppressed carrier type differential phase modulation, music higher order spectral analysis algorithm, PSS primary synchronization signal in the time domain simulation related, Compared with the results of theoretical analysis, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Synthetic Aperture Radar (SAR) imaging simulation target, Import data files as input parameters matlab program is running, Extract important parameters.)

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.)