regionGrowing

radar matlab simulation

SVD-TLS算法进行参数估计，本文用SVD-TLS算法估计观测信号的功率谱，步骤如下： （1） 计算样本相关函数矩阵R的SVD，并存储奇异值和矩阵V （2） 确定R的有效秩，本文使用的是归一化奇异值法来求有效秩 （3） 用总体最小二乘法估计参数 (SVD-TLS algorithm for parameter estimation, this paper observed SVD-TLS algorithm estimates the signal power spectrum, the following steps: (1) Calculate the sample correlation function matrix R, SVD, and store singular values and matrix V (2) to determine R, effective rank, this is normalized using the singular value method to be effective rank (3) The total least squares method to estimate the parameters)

使用matlab产生混沌时间序列的源代码(use Matlab chaotic time series generated source code)

instrumental variable identification method

用于图像处理等等，在MATLAB中实现移动目标的检测与辨识。(Used in image processing and so on, is realized in MATLAB moving target detection and recognition.)

Gist。 使用直方图的方式提取特征值里面有demo，修改一下可以直接使用，提取特征向量，使用机器学的方法来分类识别( Use the histogram to extract eigenvalues ​ ​ inside demo, change it can be directly used to extract feature vectors, using machine learning approach to classification)

本论文对跟踪闭环系统进行了设计，主要应用的是Matlab中的仿真构件，可以很好的跟踪目标，而且在其中对闭环系统进行了详细介绍，涉及到了卡尔曼滤波(The thesis of the closed-loop system was designed to track the main application is the simulation of Matlab component, can be a good target tracking, but also on the closed-loop system in which a detailed introduction on to the Kalman filter)

一个简单的Kalman滤波程序，对学习Kalman滤波有很大的帮助(A simple Kalman filter program, to learn a great help Kalman filter)

太阳能光伏电池模型 电压 电流 及其输出功率(Solar photovoltaic battery voltage and current model output power)

[x,f]= L01p_e(c,A,b,N)用枚举法求解下列 0-1线性规划问题min f=c *x, s.t. A*x<=b,x的分量全为整数0或1, 其中N表示约束条件 Ax ≤ b中的前N个是等式，N= 0时可以省略。 返回结果x是最优解，f是最优解处的函数值。 ([X, f] = L01p_e (c, A, b, N) with the following enumeration method for solving linear programming problems 0-1 min f = c ' * x, st A* x < = b, x is an integer of all components 0 or 1, where N represents the constraints Ax ≤ b in the equation of the first N, N = 0 can be omitted. Return result x is the optimal solution, f is the function value at the optimal solution.)