gabor2D

清华精仪系机器人实验，ABB机器人标定程序(Tsinghua University Department of Precision Instruments robot experiment, the ABB robot calibration)

Can_1st (CAN Network demonstration with mikroE s CAN module)

说明：  单元刚度矩阵转化为整体矩阵，如何在MATLAB中实现(stiffness matrix THE BELOW ELEMENT MATRICES AND LOAD VECTORS ARE IN THE NODAL COORDINATE SYSTEMS. GRAVITY AND TRANSIENT EFFECTS ARE INCLUDED.)

支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。 (Support Vector Machine and BP neural network, even though there can be used to make non-linear regression, but they are based on the theoretical basis for the different, the mechanism of regression is not the same. Support vector machine based on structural risk minimization theory, generally considered the generalization ability of neural networks than the strong. To test this view, the paper prepared by non-linear regression support vector machine procedures and based on a common Matlab neural network toolbox of BP neural network )

rls改进算法的MATLAB仿真程序，供大家参考(rls MATLAB simulation program to improve the algorithm, for your reference)

绘制风频的瑞利分布图，风速区间取在0~30m/s。(Draw up the wind frequency of the Rayleigh distribution,Wind speed range in 0 ~ 30 m/s.)

雷达抗干扰，雷达波形调频率捷变抗多目标干扰(Radar jamming, radar waveform modulation frequency-agile multi-target anti-interference)

该段程序代码是实现一阶惯性环节大林算法的matlab程序(The paragraph code is to achieve a first-order inertia link Dalin algorithm matlab program)

基于MATLAB的直扩超宽带通信仿真程序(MATLAB-based DS-UWB simulation program)

随着人类基因组计划的实施，通过基因组测序，蛋白质序列测定结构解析等实验，分子生物学家提供了大量的有关生物分子的原始数据，需要利用现代计算技术对这些原始数据进行收集、整理、管理以便于检索使用。而为了解释和理解这些数据，还需要对数据进行比对、分析，建立计算模型，进行仿真、预测与验证，因而出现生物信息学，它的出现，极大的促进了分子生物学的发展。(With the human genome project implementation, through genome sequencing, protein sequencing experiments such as structural analysis, molecular biologists to provide a large amount of biological molecules of the original data, the need to use modern technology to these raw data collection, collation and management in order to facilitate retrieval use. To explain and understand these data, and data need to be compared to analysis, model, simulation, prediction and validation, therefore, bioinformatics, and its emergence has greatly promoted the development of molecular biology.)