smartconvert

SVM工具箱，matlab源程序，可以用于模式识别，图像识别多个方面(SVM Toolbox)

Matlab compackt 2013 whole book

Circuit Analysis II with MATLAB applications

IDENTIFICATION OF RULES USING SUBTRACTIVE CLUSTERING

OFDM系统信道估计算法MATLAB实现，基于信噪比和误码率对LS、MMSE算法进行性能对比。(OFDM channel estimation algorithm MATLAB system, based on the signal to noise ratio and bit error rate performance comparison of LS, MMSE algorithm.)

MATLAB Simulation of OFDM Transmitter and Receiver

一份智能控制的课程报告，包括PID参数整定的简便有效方法及模糊控制器的设计,包含二者的详细matlab仿真,及其结果对比，可以依葫芦画瓢。(Course report intelligent control, including PID parameter tuning and design a simple and effective method of fuzzy controller, containing both detailed matlab simulation, and the results were compared, can Yihuhuhuapiao.)

用于描述谐波叠加法，可以修改参数已完成要做的叠加！(Used to describe the harmonic superposition method, you can modify the parameters to do the overlay has been completed!)

主要应用:元素的定性分析,元素的定量分析,固体表面分析,分子生物学中的应用(Main application: qualitative analysis of elements, elements of quantitative analysis, solid surface, molecular biology of)

RNNSIM ver. 1.0 is a program with an intercative graphical user interface (GUI) that runs under MATLAB ver. 5.0 or higher. The program can be used in training and testing the Random Neural Network(RNN) models. This version (ver. 1.0) implements only the 3 layer feed forward RNN model. In the next versions, the multi hidden layers and the recurrent RNN models can be implemented. To obtain faster training, the training section can be written as a MEX file and invoked from the GUI. If you have the m files in the directory rnnsim for example, then you can run the program following the next steps: 1- run MATLAB as usual 2- from the MATLAB command window, write cd rnnsim 3- from the MATLAB command window, write rnnsim