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GUISUSAN
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)
- 2009-10-22 11:34:46下载
- 积分：1
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fangzhen
说明： 三项交流同步电机的仿真
已经调试过了 可以使用(3 AC synchronous motor simulation has been debugging can use)
- 2008-11-24 21:04:14下载
- 积分：1
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HMM_pro
隐马尔科夫程序，主要用于语言识别，已经调试好叻，效果很好。(Hidden Markov program, mainly used for speech recognition, has good debugging Ratchasima, the effect is very good.)
- 2013-03-20 16:51:31下载
- 积分：1
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SARRESEARCH
合成孔径雷达的模糊与 PRF ；连续形式的回波模型 ； 抽样信号的频谱 ； 抽样形式的回波模型 ；方位模糊的仿真与抑制 (Fuzzy synthetic aperture radar and PRF continuous form of echo model sampling frequency spectrum sample form of echo model azimuth ambiguity suppression and Simulation)
- 2010-07-07 14:20:19下载
- 积分：1
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ctrllab3.1
《matlab实例》有关ctrllab3.1方面的实例源码，希望对大家有帮助。(" Matlab example of" about ctrllab3.1 Examples source code, we want to help.)
- 2010-05-19 19:54:17下载
- 积分：1
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ofdmce
程序是OFDM系统整个发送接收过程，其中包含QPSK调制解调，快速傅里叶正逆变换，还有信道估计等过程。(The procedure is the OFDM transmitting and receiving process of the system, which includes QPSK modulation and demodulation, and inverse fast Fourier transform, and the channel estimation process.)
- 2013-11-23 21:00:03下载
- 积分：1
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solving-equation
此时matlab中求解方程的基本实例，包括线性和非线性的微分和常数方程(At this point the basic matlab examples for solving equations, including linear and nonlinear differential equations and constants)
- 2011-05-11 21:06:08下载
- 积分：1
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SJGC
matlab仿真,随机过程，泊松过程产生级仿真过程。(this is soft simulink and use matlab,so we can learn possion process and its how to produce.matlab is powerful soft for it.)
- 2011-12-13 20:38:18下载
- 积分：1
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hilbert_phase_sync_ffmd-master
该代码是用MATLAB代码写出，用于生成格雷码，得到物体的三维信息(The code is written in MATLAB code，Used to generate the Gray code, get the object three-dimensional information)
- 2017-02-22 17:13:09下载
- 积分：1
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svm
SVM方法的基本思想是：定义最优线性超平面，并把寻找最优线性超平面的算法归结为求解一个凸规划问题。进而基于Mercer核展开定理，通过非线性映射φ，把样本空间映射到一个高维乃至于无穷维的特征空间（Hilbert空间），使在特征空间中可以应用线性学习机的方法解决样本空间中的高度非线性分类和回归等问题。svm 程序，即支持向量机的代码。(The basic idea of SVM method are: the definition of the optimal linear hyperplane, and the search algorithm for optimal linear hyperplane by solving a convex programming problem. Then based on Mercer nuclear expansion theorem, through a nonlinear mapping φ, the sample space is mapped to a high-dimensional and even infinite dimensional feature space (Hilbert space), so that in the feature space can be applied to solve the linear learning machine method, the sample space The highly nonlinear classification and regression problems. svm procedures that support vector machine code.)
- 2010-07-31 10:21:45下载
- 积分：1
