TiaoFengJiSuan

There are 5sample files of qpsk, ofdm, scfde, alamouti and space time codings. those of 5samples can be useful for using matlab user.

雷达原理中matlab实现脉冲压缩仿真的代码(it implements Pulse compression)

the battery built in the matlab.can be sucessful simulated in the sinmulik.

简单的用labview结合mathlab的混合编程的频谱分析实验文件包含常见的方波、三角波和正弦波的分析。(Simple example of combination of mixed programming with labview frequency spectrum analysis of the experimental mathlab)

GPS 动态卡尔曼滤波 ，详细介绍了GPS动态定位中卡尔曼滤波的应用以及整个公式推导过程(GPS dynamic Kalman filter, described in detail the dynamic positioning GPS Kalman filter applications, and the formula derivation)

说明：  幅频响应特性图[h1,w]=freqz(b1,1,N,1) [h2,w]=freqz(b2,1,N,1) (Amplitude frequency response characteristics of Figure)

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)

基于MATLAB环境显得图像去噪示例程序(Image denoising based on MATLAB environment, sample programs appear)

matlab 开发有序抖动算法，可以下载一看(Matlab algorithm, developed orderly jitter 50-percent tonal orderly jitter algorithms to download a comrade, look!)

Three wire unbalanced load....