bandit-alg-lib-master

说明：  Newton-Rapson matlab code

分枝界定法的matlab程序,应用于数学模型的整数规划(Matlab program branches to define the law applied to integer programming mathematical model)

高斯列主元消去法求解线性方程组的程序 数值分析(Gauss )

基于高波滤波的特征提取技术，从而实现人脸识别和表情识别的目的(Based on high-wave filter feature extraction techniques, in order to achieve the purpose of face recognition and expression recognition)

采用平面梁单元计算两铰抛物线拱的在初始条件下自由振动，并对时程曲线结果进行FFT变换(Calculated using plane beam element in two-hinged parabolic arch of free vibration under initial conditions, and the results of time-curve FFT)

说明：  电压源代替风机通过双PWM并入电网，双PWM控制电路(The voltage source instead of the fan is connected to the power grid through dual PWM, and the dual PWM control circuit)

该代码主要是实现自适应功能，用Matlab编写！(The code is mainly the realization of adaptive function, using Matlab to prepare!)

说明：  利用Matlab实现子功率谱的求解，并实现信号处理和能量算法(Matlab, the solution to achieve sub-power spectrum, and algorithms for signal processing and energy)

针对传感器网络中的非视距定位问题，使用泰勒加llos的联合方法降低非视距影响(decrease the location error in nlos environement)

Abstract— In the area of image processing, several methods of edge detection have been proposed till now like Sobel, Robert, Prewitt, Canny, Marr-Hildreth etc. All these methods are having their own advantages and disadvantages. In this paper a new method has been proposed for edge detection using Cellular Automata. Different rules have been applied for edge detection. The outputs are better in terms of clarity and computation time. Finally, the edge detection has been applied for detecting cancerous cells in brain. Using Cellular Automata rules helps in determining the exact location and size of tumor as edges detected using Cellular Automata are fine, continuous and clear. The results