7895

gmsk的源代码，包括了调制，以及有关1bit差分解调方法(gmsk source code, including the modulation and demodulation method for the 1bit difference)

Machine learning - balancing a stack of balls

去除图像噪声椒盐噪声高斯噪声实现图像处理(Salt and pepper noise removal of image noise, Gaussian noise, Image Processing)

本资料是关于应用MATLAB进行目标识别与检测的源代码。包括车牌自动识别等。(This information is on the application of MATLAB to carry out target identification and detection of the source code. Including automatic license plate recognition.)

对控制装置及仪表的控制系统进行仿真，并给出性能分析(Control devices and instrumentation control system simulation and performance analysis is given )

这是一个课程设计的MATLAB代码，他是一个利用尺度法和测度法快速计算一般分形图形分形维数的程序，只能处理qvxUgk格式和FQJouCh的分形图形，运行效率高。 (This is a course designed MATLAB code, he is a use of scales and measurement method for rapid calculation of general fractal graphics fractal dimension of the program, can only handle qvxUgk format and FQJouCh fractal graphics, high operating efficiency. )

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)

模糊聚类分析中，需要用到各种聚类距离。此函数包括了7种模糊聚类距离函数，供大家学习使用。(Fuzzy clustering analysis, you need to use a variety of clustering distance.This function includes seven kinds of fuzzy clustering distance function, for them to learn to use.)

Block Matching Algorithm Motion Estimation Three step search and some method

用matlab来制作卫星绕地球做周期运动的动画，改变卫星的角速度的初值，可以画出圆形，椭圆形，逃逸轨迹。(Using matlab to produce satellites orbiting the earth to do periodic motion animation, change the initial angular velocity of the satellite, you can draw round, oval, escape trajectory.)