EMD

matlab仿真实例 波束形成muisc代码 简单易懂的 (matlab simulation beamforming muisc code easy to understand)

1、 从网上下载人脸图像，构建人脸训练数据库和测试数据库，采用K-L变换进行特征脸提取，并实现人脸识别。通过K-L变换在人脸识别中的应用，加深对所学内容的理解和感性认识。(1, face image downloaded from the Internet, the construction of the training and test database face database, using K-L transform features face extraction, and realize the face recognition. Through k-l transform in face recognition application, deepen the understanding of the content of study and perceptual knowledge.)

基于matlab的图像处理技术，可以对bmp，jpg等格式的图片进行处理，可以反转(Image processing technology based on MATLAB, on BMP, JPG format image processing, can be reversed)

说明：  单极性脉冲调制方式，三角载波在一种极性内变化(Unipolar pulse modulation, triangular carrier changing in one polarity)

用MATLAB实现的自相关的算法源程序，不错(Using MATLAB realize the auto-correlation algorithm source code, it is true)

说明：  捷联惯导系统导航解算. 根据600秒的指北方位捷联系统的数据进行导航解算，飞行高度不变，采样周期0.01s.(Strapdown inertial navigation system navigation solution. Based on the 600 seconds that the north-bit data SINS navigation solution, the same altitude, sampling period 0.01s.)

matlab遗传算法多目标优化，双目标函数优化(matlab genetic algorithm for multi-objective optimization, dual-objective optimization)

1 SIFT 发展历程 SIFT算法由D.G.Lowe 1999年提出，2004年完善总结。后来Y.Ke将其描述子部分用PCA代替直方图的方式，对其进行改进。 2 SIFT 主要思想 SIFT算法是一种提取局部特征的算法，在尺度空间寻找极值点，提取位置，尺度，旋转不变量。 3 SIFT算法的主要特点： a) SIFT特征是图像的局部特征，其对旋转、尺度缩放、亮度变化保持不变性，对视角变化、仿射变换、噪声也保持一定程度的稳定性。 b) 独特性(Distinctiveness)好，信息量丰富，适用于在海量特征数据库中进行快速、准确的匹配[23]。 c) 多量性，即使少数的几个物体也可以产生大量SIFT特征向量。 d) 高速性，经优化的SIFT匹配算法甚至可以达到实时的要求。 e) 可扩展性，可以很方便的与其他形式的特征向量进行联合。 4 SIFT算法步骤： 1） 检测尺度空间极值点 2） 精确定位极值点 3） 为每个关键点指定方向参数 4） 关键点描述子的生成 本包内容为sift算法matlab源码(1 SIFT course of development SIFT algorithm by DGLowe in 1999, the perfect summary of 2004. Later Y.Ke its description of the sub-part of the histogram with PCA instead of its improvement. 2 the SIFT main idea The SIFT algorithm is an algorithm to extract local features in scale space to find the extreme point of the extraction location, scale, rotation invariant. 3 the main features of the SIFT algorithm: a) SIFT feature is the local characteristics of the image, zoom, rotate, scale, brightness change to maintain invariance, the perspective changes, affine transformation, the noise also maintain a certain degree of stability. b) unique (Distinctiveness), informative, and mass characteristics database for fast, accurate matching [23]. c) large amounts, even if a handful of objects can also produce a large number of SIFT feature vectors. d) high-speed and optimized SIFT matching algorithm can even achieve real-time requirements. e) The scalability can be very convenient fe)

该程序用于研究金属介质三维频率的有效介质理论，易于结果的实现。(The procedures for the effective medium theory of 3D metal medium frequency, easy realization results.)

说明：  通过引力搜索算法，进行支持向量机参数优化。实现模式识别和趋势预测。(The parameters of support vector machine are optimized by gravitational search algorithm. Realize pattern recognition and trend prediction.)