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求zernike矩 通过使用matlab的矩阵操作计算一幅图像阶为6重复度为6的zernike矩。(Find zernike matlab matrix operations through the use of an image calculated degree of order 6 Repeat zernike moments 6.)

连续读取多张图像同一坐标像素点的灰度值大小(Read multiple images the same continuous pixel coordinates of the size of the gray value)

说明：  matlab的图形小程序，比较实用，大家一起交流吧(matlab graphic small procedures, more practical and we can work together to exchange it)

antenna array output signal simulator

用于时间序列的去噪以及预测，基于独立成分分析的最小二乘时间序列方法。(Noising for time series and forecasting, time series least squares method based on independent component analysis.)

matlab的psat软件用于潮流计算，连续潮流计算，小扰动分析，分岔分析等等，方便实用(The psat matlab software for flow calculation, continuous flow calculation, the small perturbation analysis, bifurcation analysis, etc., convenient and practical)

This paper addresses the problem of segmenting an image into regions. We defi ne a predicate for measuring the evidence for a boundary between two regions using a graph-based representation of the image. We then develop an effi cient segmentation algorithm based on this predicate, and show that although this algorithm makes greedy decisions it produces segmentations that satisfy global properties. We apply the al-gorithm to image segmentation using two diff erent kinds of local neighborhoods in constructing the graph, and illustrate the results with both real and synthetic images. The algorithm runs in time nearly linear in the number of graph edges and is also fast in practice. An important characteristic of the method is its ability to preserve detail in low-variability image regions while ignoring detail in high-variability regions.

实现星座图旋转，软判决，Q-delay，有反馈(constellation roted and soft decision,with a feedbanck or 16QAM roted )

粒子群算法是智能计算领域的主要方法之一，本程序为运用粒子群方法寻找最优值的例子。(The particle swarm algorithm is one of the main methods for intelligent computing, the procedures for the application of the particle swarm example to find the optimal value.)

用matlab检测视网膜眼底图像，达到自动识别视网膜病变(Detection of retinal fundus images using matlab to achieve automatic identification retinopathy)