CA

介绍了用MATLAB模糊逻辑工具箱设计模糊控制器，并用SIMULINK仿真的一般方法。(MATLAB FUZZY )

generation of various types of signalling waveforms

在源信号和传输信道未知情况下，只利用接收天线的观测数据抽取源信号，称为盲信号分离.盲信号分离不仅是信号处理界、而且也是神经网络界的研究热点课题，在无线数据通信、雷达、图像、语音、医学以及地震信号处理等领域都具有广阔的应用前景.采用自然梯度法和分阶段学习法。(The source signal and transmission channel is unknown circumstances, using only observational data extraction receiving antenna source signal, known as blind signal separation. Blind signal separation is not only the signal processing community, but also a neural network hot topic in research circles, in the wireless data communications , radar images, audio, medical and seismic signal processing and other fields have broad application prospects. and the phases using the natural gradient learning method.)

基于matlab环境下的磷酸化鉴定系统的实现。(Based on the Matlab environment phosphorylation identification system implementations.)

在已知内外方位元素的情况下，使用matlab程序编写代码实现共线方程求解。(Under the condition of the interior and exterior orientation elements are known, the use of matlab code to realize the collinear equation.)

本源码用MATLAB语言实现了自适应RLS算法，并附有FFT分析(rls fft)

该为matlab详尽学些资料第八章“数据分析”(Learn some of the detailed information for the matlab Chapter 8, " Data Analysis" )

说明：  用matlab的m文件仿真FM过程，从调制到白噪声到解调(Simulation using matlab m file FM process, from modulated white noise to the demodulator)

A UMAT Coding for Kinematic Hardening Plasticity.

system identification, m document based on idetification