rle_encoding

this file is the identification of the fermentation process using Monte-Carlo method to define Q-matrix. this m.file is a complete simulation of a chemical fermentation process which is done in Matlab. this job includes an on-line estimationn of the states of a control system and also the identification of the parameters of process. this work can be considered an identification research project to a great extent.

求解辐射传递方程SSDN离散matlab程序(Solving the radiative transfer equation SSDN discrete matlab program)

B样条的插补编程代码，通过使用MATLAB，来产生B样条曲线图形(B-spline interpolation programming code, using MATLAB, to generate B-spline curve graphic)

B3g_phase2_C语言_Matlab程序及说明(_Matlab Procedures and B3g_phase2_C language description)

serial RS232 in control used matlab for motor

EXAMPLE9_2_1.M 函數newelm的使用 EXAMPLE9_2_2.M 訓練Elman類神經網路 EXAMPLE9_3_1.M 函數newhop的使用 EXAMPLE9_3_2.M 創建具有兩個神經元的hopfield網路( EXAMPLE9_2_1.M : the use of fuction newelm EXAMPLE9_2_2.M : train Elman neural network EXAMPLE9_3_1.M : the use of fuction newhop EXAMPLE9_3_2.M : to create two neurons of hopfield network)

在MATLAB中用非抽样小波变换也称多孔算法实现信号或图像的压缩。(In MATLAB using non-decimated wavelet transform algorithm, also known as porous signal or image compression.)

matlab simulation book

三维点云法向量估计综述由于获取方便、表示简单、灵活等优势，点云逐渐成为常用的三维模型表示方法之一。法向量作为点云必不可少的属性 之一，其估计方法在点云处理中具有重要的位置。另一方面，由于点云获取过程中不可避免的噪声、误差和遮挡，点云中通常含 有噪声、外点和空洞，并且部分采样模型如CAD模型，也会存在尖锐特征，这些都给法向量估计提出了挑战。对当前已有的点云 法向量估计算法进行综述，分析其原理及关键技术，着重分析它们在处理噪声、外点和尖锐特征等方面的能力并给出比较，最后 为未来研究提供了一些建议(The three-dimensional point cloud normal vector estimation summarized obtain convenient, represents a simple, flexible, and becoming one of the methods commonly used three-dimensional model represents the point cloud. Normal vector of one of the as point clouds essential attributes, its estimation method has important position in the point cloud processing. On the other hand, the noise is inevitable in the process to obtain because of the point cloud, error and occlusion, point cloud typically contains noise outside point and empty, and part of the sampling model such as CAD models, there will still be sharp features, which gave the normal vector estimated that presents a challenge. Overview of current existing point cloud normal vector estimation algorithm, analysis of the principle and key technologies, and analyzed their ability to deal with the noise, the outer points and sharp features and gives comparison, and finally provide some suggestions for future research)

若干节点潮流计算，电气工程专业电力系统专业重要计算算法。(Number of nodes flow calculation, electrical engineering professional power system the important calculation algorithm.)