AC

边缘是图像最基本的特征，是图像分割的第一步。经典的边缘检测方法如：Roberts，Sobel，Prewitt，Kirsch，Laplace等方法，基本都是对原始图像中象素的小邻域构造边缘检测算子，进行一阶微分或二阶微分运算，求得梯度最大值或二阶导数的过零点，最后选取适当的阀值提取边界。由于这些算法涉及梯度的运算，因此均存在对噪声敏感、计算量大等缺点。在实践中，发现SUSAN算法只基于对周边象素的灰度比较，完全不涉及梯度的运算，因此其抗噪声能力很强，运算量也比较小。并将SUSAN算法用于多类图像的边缘检测中，实验证明该算法非常适合含噪图像的边缘检测。 2 SUSAN边缘检测简介 (err)

天线方向图可以看出此算法的性能，该程序把静态方向图与加了旁瓣电平－30db的切比雪夫权方向图相比较(Antenna pattern can be seen the performance of this algorithm, the program direction of the static map with the addition of side lobe level of-30db Chebyshev right direction compared to Figure)

这是一本经典的MatlAB书的实验代码，非常丰富，非常实用(This is a classic book of experimental code MatlAB, very rich, very practical)

PAMSE - measure the distortion degree of distorted image imd with the reference image imo using the Gaussian smoothed MSE(PAMSE- measure the distortion degree of distorted image imd with the reference image imo using the Gaussian smoothed MSE)

解决多目标线性问题 解决多目标带约束条件的例子(To solve the multi-objective linear problem)

matlab程序实现 人工鱼群算法对测试函数进行测试 包里还包含测试函数的程序(AFSA matlab program to test the function of the test package also includes a program to test the function)

说明：  这是matlab的根轨迹程序代码，很好很好的代码(This is the root locus matlab code, very good very good code)

一种关于MIMO-OFDM系统盲频率同步的资料文档，用MATLAB进行仿真分析(A novel blind carrier frequency offset (CFO) estimation algorithm was proposed which is based on estimating signal parameter via rotational invariance techniques (ESPRIT) for multi-input multi-output orthogonal frequency division multiplexing (MIMO-OFDM) systems with virtual carriers. )

用matlab7.0实现傅里叶频移特性的验证 带GUI图形化界面窗口(To use matlab7.0 Fourier frequency shift characteristic verify with GUI graphical interface window)

蜂窝覆盖仿真模型的matlab代码 可运行(The cellular coverage simulation model matlab code and it can be run)