fourier-and-MATLAB

handwritten digit recognition

simulink ac too dc simpower in matlab

基于数字信号处理的各种matlab源程序代码，包括FFT、DFT还有采样及系统响应函数等等。(All based on digital signal processing matlab source code, including FFT, DFT also sampling and system response function and so on.)

说明：  《Matlab 7基础与提高》下载资料，是学习Matlab的好东东。( "The Matlab 7 Foundations And Enhancement" download the material east, is studies Matlab to be good east. )

Matlab参考书（word版），分章节，较PDF清晰多了。(Matlab reference (word version), sub-chapters, much clearer than the PDF.)

雷达信号的仿真，内附源代码和程序的说明。对于学习雷达信号的人来说，非常有用(radar singal processing based on matlab)

Fundamentals of Global Positioning System Receivers A Software Approach--中文译本名为《GPS软件接收机基础》，这是英文版。(Fundamentals of Global Positioning System Receivers A Software Approach)

matlab 强大的信号仿真功能结合VC编程混编分析数字均衡器的设计要求对各种音频信号进行处理 (matlab simulation capabilities combined with powerful signal analysis VC programming mixed digital equalizer design requirements of the various audio signal processing)

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)

很不错的目标跟踪轨迹模拟MATLAB仿真程序，可以在MATLAB0.7运行成功(Good target tracking trajectory simulation of MATLAB simulation program, can run in MATLAB0.7 success )