phased-array

认知无线电 频谱检测技术 基于MATLAB的仿真(cognitive radio)

在matlab7.4基础上实现恒虚警检测,包括单元平均CFAR检测实例过程，杂波边缘虚警性能，GO-CFAR等(Achieve CFAR in matlab7.4 basis, including cell averaging CFAR detection instance procedure, clutter edge false alarm performance, GO-CFAR, etc.)

小波分解的Mallat快速算法 Mallat快速算法的图像分解的Matlab代码(Matlab code image decomposition Mallat fast wavelet decomposition algorithm Mallat fast algorithm)

田纳西伊斯曼过程SIMULINK仿真模块 来自于经典文献(Tennessee Eastman process SIMULINK simulation module from the classic literature)

隐马尔科夫模型学习最佳范例 word 详细介绍马尔科夫模型原理(The best example of the hidden Markov model learning word detailed introduction of the principle of the Markov model)

《系统识辨与自适应控制MATLAB仿真(修订版)》程序源代码(Adaptive algorithm matlabb routine code)

利用小波分析对污染信号进行消噪处理已恢复原始信号(Pollution by wavelet analysis denoising signal the original signal has been restored)

matlab 数据导入导出及相关实例分析。做的不好，请指教(matlab data import and export, and analyze relevant examples. Do not, please advise)

Matlab Sample Codes Implementation

帝王蝶优化算法,一种新的元启发式优化算法！(In nature, the eastern North American monarch population is known for its southward migration during the late summer/autumn the northern United States and southern Canada to Mexico, covering thousands of miles. By simplifying and idealizing the migration of monarch butterflies, a new kind of nature-inspired metaheuristic algorithm, called Monarch Butterfly Optimization (MBO), a first of its kind, is proposed in this paper. In MBO, all the monarch butterfly individuals are located in two distinct lands viz. Southern Canada & northern United States (Land 1) and Mexico (Land 2). Accordingly, the positions of the monarch butterflies are updated in two ways. Firstly, the offsprings are generated (position updating) by migration operator, which can be adjusted by the migration ratio. It is followed by tuning the positions for other butterflies by means of butterfly adjusting operator. In order to keep the population unchanged and minimize fitness uations, the sum of the newly-generated but)