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all imange processing operation on image operations

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模拟退火算法实现、主成分分析实现及线性回归分析等(Simulated annealing algorithm implementation, implementation of principal component analysis and linear regression analysis)

模糊控制matlab程序，利用龙格—库塔法进行系统仿真(Fuzzy control matlab program using the Runge- Kutta method for system simulation )

一种新的基于matlab环境的用SVD原理实现图像压缩的源程序，程序简单易懂(Implementation of new image compression using SVD, the program easy to understand)

解power flow CODE(學電力系統必備的東西)(內含詳細註解)(Solution of power flow CODE (learn something essential power systems) (includes detailed annotations))

北航经典书籍随书程序MATLAB基础与应用(Northern Classic Books program with the book and applications based on MATLAB)

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含噪脉冲信号进行相关检测,滤波求和方式实现宽带波束形成，有循环检测，周期性检测，MIMO OFDM matlab仿真,各种资源分配算法实现，对于初学matlab的同学会有帮助。( Noisy pulse correlation detection signal, Filtering summation way broadband beamforming, There are cycle detection, periodic testing, MIMO OFDM matlab simulation, Various resource allocation algorithm, Matlab for beginner students will help.)

Source separation problems in digital signal processing are those which are used to separate useful signal a mix of signals of interest, other signals and noise. The typical example of a source separation problem is the cocktail party problem, where many number of peoples are talking simultaneously in a room and a listener is trying to follow one of the discussions. The human brain can separate the voices of different people (source separation) using neurons in the auditory region. But source separation using digital signals is difficult task with the available techniques. Several approaches have been proposed for solving this issue but most of the techniques are still in development stages. Some of the successfully tested approaches are principal components analysis (PCA) and Independent components analysis (ICA). Both the approaches work well when there are no delays or echoes present