qinghuaxuebang

Electromagnetic Waves And Antenna (matlab)

按照A*算法的步骤来实现。Matlab code(According to the steps of the A* algorithm to achieve)

在对PSK系统进行仿真，要求：对M=4的PSK系统，分别取信噪比为odB、10dB和20dB，在星座图上观察接收端接收到的信号向量。 (in the PSK system simulation, requirements : M = 4 for the PSK system, the signal-to-noise were taken odB. 10dB and 20dB, in the constellation observation receiving termination received signal vector.)

MATLAB-GUI教程与使用。学会用 matlab gui 设计用户界面，并编写响应程序。(MATLAB-GUI tutorial and use. Learn how to use matlab gui user interface design, and write response procedures.)

Fuzzy c-means clustering (FCM) with spatial constraints (FCM_S) is an effective algorithm suitable for image segmentation. Its effectiveness contributes not only to introduction of fuzziness for belongingness of each pixel but also to exploitation of spatial contextual information. Although the contextual information can raise its insensitivity to noise to some extent, FCM_S (1) still lacks enough robustness to noise and outliers and (2) is not suitable for revealing non-Euclidean structure of the input data due to the use of Euclidean distance (L2 norm).

说明：  模糊神经网络的实现 用于控制，优化等自动领域(Algoritmo de inferencia difusa ANFIS Takagi-sugeno)

关于三次样条插值在matlab中的实现，给出了源程序(Construction and Realization of Cubic Spline Interpolation Function )

The cross-entropy (CE) method attributed to Reuven Rubinstein is a general Monte Carlo approach to combinatorial and continuous multi-extremal optimization and importance sampling. The method originated from the field of rare event simulation, where very small probabilities need to be accurately estimated, for example in network reliability analysis, queueing models, or performance analysis of telecommunication systems. The CE method can be applied to static and noisy combinatorial optimization problems such as the traveling salesman problem, the quadratic assignment problem, DNA sequence alignment, the max-cut problem and the buffer allocation problem, as well as continuous global optimization problems with many local extrema.

Flow Control in Matlab

说明：  Particle swarm optimization