rbfnn3

ZPETC与IMC的结合，以PID作为比较。提供matlab源码实现，与simulink源码实现。(ZPETC and IMC.)

这是一个讲解MATLAB 函数方面的电子书，可以让我们对MATLAB的函数更加了解。(This is a MATLAB function to explain aspects of e-books, allow us to better understand the function of MATLAB.)

自己编写的matlab的DSCI程序，简单测量位移，面内的(His writing of matlab DSCI program, simple measurement of displacement, in the face )

To find the number of a particular face occurred in a die experiment.

二维函数逼近仿真，包含误差分析，三维图显示(Two-dimensional function approximation simulation, including error analysis, three-dimensional map display)

假定半波长间隔均匀分布线列布阵的阵元数N=16，若入射平面波为f=62.5Hz的正弦信号，信号持续时间为0.4s， 系统采样频率 =1 KHz,阵列加权为均匀加权，分别给出 a)当平面波信号分别从 0,10,20,30,40,50,60,70,80,90,100度方向入射时，指向90度的波束形成器的输出序列； b)当平面波信号分别从0:1:180度方向入射时，指向90度的波束形成器的输出序列经过平方求和后的分贝数输出（把所有181个输出绘制在同一幅图中)(Assuming N=16, f=62.5, fs=1KHz, uniform weight, and the code gives: a) 90 degree response when incidence angles are: 0: 10: 100 degrees b) 90 degree spectral response when incidence angles are: 0:1:180 degrees )

这个例子示出了充放电时的超级电容器的模式。该电路示出了与电池超级电容器的一个简单的杂交。超级电容器被连接到降压/升压转换器和电池连接到升压转换器。电池的功率由一个速率限制器块，因此瞬态功率由超级电容器供给到DC总线限制。(This example shows the supercapacitor model during charge and discharge. The circuit illustrates a simple hybridization of a supercapacitor with a battery. The supercapacitor is connected to a Buck/Boost converter and the battery is connected to a Boost converter. Power of the battery is limited by a rate limiter block, therefore the transient power is supplied to the DC bus by the supercapacitor.)

encoder of speech compression

说明：  带约束算子的粒子群算法，用于matlab环境，对于搞研究的教师有很大帮助(Operator Constrained Particle Swarm Optimization for the matlab environment, engage in research for teachers are very helpful.)

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)