prac2-tds

用matlab编写，用RBF网络，来模拟一个已知函数（阶跃函数）(Written with matlab using RBF network, to simulate a known function (step function))

time series 3d embadding

创建一个n维的稀疏数组对象，n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而，它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说，稀疏的数据，首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上，如果目标数组的尺寸mxnxp……yxz，然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸（M×N×P×……×Y）XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测，你经常要举行一个稀疏的3D的边缘地图。(Creates an N-dimensional sparse array object, for arbitrary N.This submission defines a class of N-dimensional sparse arrays for N possibly greater than 2. However, it should really be thought of as a way of starting with an ordinary MATLAB sparse matrix and reshaping it to have N dimensions. In other words, the sparse data must first be able to exist as an ordinary 2D MATLAB sparse matrix before being made N-dimensional. In fact, if the intended array has dimensions MxNxP...YxZ, then the class will store it internally as an ordinary 2D sparse array of dimensions (M*N*P*...*Y)xZ. This leads to certain memory strains when using large numbers of dimensions. I find the class useful mainly for moderate dimensional things like edge detection in 3D imaging, where you often want to hold a sparse 3D edge map. )

采用贝叶斯推论的数据融合，将CHAN算法和泰勒算法的结果经过处理，得到更好的定位结果(Bayesian inference using the data fusion, will CHAN Taylor algorithm and the results of algorithm after treatment, get better positioning results)

slam代码，扩展卡尔曼滤波，输入时两个轮子的速度以及采集到的Landmark标志点与移动机器人的相对坐标(slam code, extended Kalman filter, the input speed of the two wheels, as well as the acquisition Landmark signs point to the relative coordinates of the mobile robot)

线性递减pso程序代码，使用时更换目标函数即可(Linear decreasing pso code, replace the objective function can be used)

这是matlab编程的一个例子，编写M文件，实现正弦摆动的一个动画。(Matlab is a programming example, the preparation of documents M to achieve a sinusoidal oscillation of animation.)

小波分析理论与MATLAB小波分析的应用领网域十分广泛，它包括：数学领网域的许多学科；信号分析、影像处理；量子力学、理论物理；军事电子对抗与武器的智能化；电脑分类与识别；音乐与语言的人工合成；医学成像与诊断(MATLAB wavelet analysis theory and application of wavelet analysis collar domain is very extensive, it includes: Mathematics collar domain many disciplines signal analysis, image processing quantum mechanics, theoretical physics military weapons, electronic warfare and intelligence computer classification and identification synthetic music and language medical imaging and diagnostics)

Itti算法和他的文章。Itti提出的显著图模型是一种模拟生物体视觉注意机制的选择性注意模型,比较适合处理自然图像。(Itti algorithms and his article. Itti saliency map model proposed is a simulation of selective attention model organism visual attention mechanism, more suitable for processing natural images.)

it is the matlab model for simulation of the class d chopper with full details of parametrs