tiaopin

基于SystemView和matlab的巴克码识别器的仿真与分析基于SystemView和matlab的巴克码识别器的仿真与分析(SystemView and matlab based on the Barker Code Identifier simulation and analysis is based on the Barker SystemView and matlab code recognition Simulation and Analysis)

encoding and decoding using huffman

kock fractal drawing

compressive sensing:OMP algorithm

用 MATLAB 软件 实现了 GM(1 ,1) 预测算法并给出了源代码所建立的 GM(1 ,1) 预测效果比较好 ,验证了利用MAT 2 LAB 实现该算法的有效性和程序的正确性 ,进一步展示了MATLAB 软件的功能强大和实用性强的特点.(MATLAB software GM (1, 1) prediction algorithm and give the source code to establish the GM (1, 1) forecast better results, verify the correctness of the MAT 2 LAB effectiveness of the algorithm and program further demonstrate the powerful and practical features of MATLAB software.)

hand image pre-processing first stage denoise

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. )

MATLAB 数学工具软件 实例简明教程(MATLAB mathematical tools simple tutorial examples)

对matlab中的robotics toolbox中的函数功能及作用进行详细解说，方便初学者掌握函数。(Robotics toolbox for matlab in the function and role function in the detailed explanations, easy for beginners to master functions. )

沿直线最小化优化学习率的梯度下降法matlab版本的一个实例源代码，带轨迹收敛图。(a source code of steepest descent with learning rate to minimize along the line by matlab)