matlab-codes

降维状态观测器是非常重要的一类观测器，它使用状态反馈构成闭环系统的物理实现成为可能。降维状态观测器的设计方法很多，这里提出主要的两种：(Reduced-order state observer is a very important class of observer, which uses state feedback closed loop system, the physical realization possible. Reduced-order state observer design method are many, here for the main two:)

机器人的全部目标是产生一个实验室的引导路线。实验室里的各种不同方向坐标已经存储，并且机器人在不同方向移动的非常成功。在某一方向，它可以给出该方向的位置。在不同方位的移动，机器人需要几个阶段，首先定位在某一位置，接着计算下一个方向的路程。(The overall goal of the robot is to conduct a guided tour of the laboratory. Coordinates of various stations in the room are stored, and the robot moves successively from station to station. At each station, it gives an explanation of that station. To move between stations, the robot make several steps, localizing itself at each step and recalculating the way to the next station)

Convert SRH-2D model outputs into an SMS friendly format

anny边缘检测算子是John F. Canny于 1986 年开发出来的一个多级边缘检测算法。 Canny边缘检测算法： step1:用高斯滤波器平滑图象； step2:用一阶偏导的有限差分来计算梯度的幅值和方向； step3:对梯度幅值进行非极大值抑制； step4:用双阈值算法检测和连接边缘。(anny edge detection operator is John F. Canny developed in 1986 out of a multi-level edge detection algorithm. Canny edge detection algorithm: step1: Gaussian smoothing filter image step2: first-order finite difference to calculate partial derivatives of the magnitude and direction of the gradient step3: the gradient magnitude non-maxima suppression step4: use dual-threshold algorithm for detecting and connecting edges.)

说明：  AWGN信道下，fqpsk 调制的MAP检测 (under awgn channel,MAP demodulation for FQPSK modulation)

包含4个高斯分量信号的PWD，比wvd具有更好的性能(Contains 4Gauss component signal PWD, WVD has better performance than)

主要用于绘制图像、比如圆柱、矩形、圆、心等，该例子绘制了一颗被包围的红心，用于表达爱意。(Mainly used to draw the image, such as cylindrical, rectangular, round, heart, etc., which are surrounded by examples drawn a red heart for affection.)

matlab code for 4-ask modulation

最全的信道估计仿真，包括最小二乘法，最小均方误差法，变换域法。(The most complete simulation of channel estimation, including least squares, minimum mean square error method, transform domain methods.)

人脸识别Adaboost源代码,用matlab编写实现，使用Adaboost算法进行人脸检测(source code for face recognation using Adaboost)