Speed_Control_IM_SVPWM

说明：  voicebox语音处理matlab工具箱【1】(VoiceBox voice processing toolbox matlab [1])

现代通信系统matlab源代码，通信的肯定用得着的(Matlab source code for modern communications systems, communication certainly useful in the)

机器人定位与kalman滤波波的学位论文与源程序可直接使用。 (The robot positioning kalman filtering wave Dissertation source can be used directly.)

最小二乘是广义预测的基础知识，学习最小二乘有利于学习广义预测控制(Generalized least squares is predicted on the basis of knowledge, learning conducive to learning generalized least squares predictive control)

it s about a course in language C++ writen by professional professor in university course number 88

平面波展开法计算的二维声子晶体带隙，分别是正方与圆形散射体形成正方格子声子晶体，最后输出了能带图的数据，需要自己用画图软件画出来。(Plane wave expansion method to calculate the band gap of two- dimensional phononic crystals, which are square with rounded square lattice formed scattering crystal, the final output of the energy band diagram of the data, so you need to use drawing software drawn.)

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)

This matlab code implements region growing image segmentation.

使用差分法解一类Bessel方程在不同边界条件下的离散解(the use of differential method for a type Bessel equation in different boundary conditions of the Discrete Solutions)

hai check it its very good code..and pv and eindmpptalgoritham