1585_Modul4

蓝牙通信系统matlab仿真代码。运用matlab环境进行仿真(Bluetooth communication system simulation matlab code. Use of matlab simulation environment)

模糊逻辑的几个应用举例。 《matlab辅助模糊系统设计》(Several application examples of fuzzy logic. " Matlab auxiliary fuzzy system design" )

说明：  sr:lr image to hr image (sr:lr image to hr image)

重新定义图片大小，适合批量修改图片，matlab程序(Redefine the image size, suitable for bulk editing pictures, matlab program)

基于chebyshev的水声信号分析，能量熵的计算，数值分析的EULER法，处理信号的时频分析，FMCW调频连续波雷达的测距测角，使用大量的有限元法求解偏微分方程，预报误差法参数辨识-松弛的思想。( Based chebyshev underwater acoustic signal analysis, Energy entropy calculation, EULER numerical analysis method, When processing a signal frequency analysis, FMCW frequency modulated continuous wave radar range and angular measurements, Using a large number of finite element method to solve partial differential equations, Prediction Error Method for Parameter Identification- the idea of relaxation.)

根据隐马尔可夫模型，利用马尔可夫链前向算法，用于估值问题。(HMM-FORWARD )

For beginners with a reference value, Rotating machinery 2-d holographic spectrum calculation, Chaos-based simulated annealing algorithm.

matlab绘制图形完成后，在句柄窗口实现局部放大，通过鼠标键盘的操作来选择放大区域(matlab graphics rendering is completed, the handle of the window to achieve local amplification, through the operation of mouse and keyboard to select the magnified area)

In order to model the chaotic motion of the double pendulum,i am going to use Matlab solving the problem using numerical methods such as Rung-Kutta and Ordinary Differential Equations (ODE).

This paper presents a new and efficient approach for capacitor placement in radial distribution systems (RDS) that determine the optimal locations and size of capacitor with an objective of improving the voltage profile and reduction of power loss. The solution methodology has two parts: in part one the loss sensitivity factors (LSF) are used to select the candidate locations for the capacitor placement and in part two a new algorithm that employs Dijkstra Algorithm (DA) is used to estimate the optimal size of capacitors at the optimal buses determined in part one. The main advantage of the proposed method is that it does not require any external control parameters. The other advantage is that it handles the objective function and the constraints separately. The proposed method is applied to 33 & 69 RDS. The solutions obtained by the proposed method are compared with other methods. The proposed method has outperformed the other methods in terms of the quality of solution. OPTIMAL C