ABL

基于滑模观测器的无传感器PMSM控制研究(Investigation of sensorless control of PMSM based on sliding mode observer)

watermarking on the bases of experiment and accuracy.................................

simulator of STO estimation in OFDM sysmtem

光伏电池的模拟仿真文件 请及时下文件mdl(matlab guangfudianchi)

电子工业出版社2005=小波分析理论与MATLAB7实现.-[483p](Wavelet analysis MATLAB7)

此文件介绍了matlab的基础知识，适合于初学者进行学习，希望对大家有所帮助(This document describes the basics of matlab, suitable for beginners to learn, we want to help)

叠前反演的matlab代码，方法采用马尔科夫共轭梯度法，针对一维模型的反演(Pre-stack inversion matlab code, the method uses Markov conjugate gradient method, inversion for the one-dimensional model of)

register file in vhdl and alu

The shuffled complex evolution with principal components analysis–University of California at Irvine (SP-UCI) method is a global optimization algorithm designed for high-dimensional and complex problems. It is based on the Shuffled Complex Evolution (SCE-UA) Method (by Dr. Qingyun Duan et al.), but solves a serious problem in searching over high-dimensional spaces," population degeneration". The population degeneration problem refers to the phenomenon that, when searching over the highdimensional parameter spaces, the population of the searching particles is very likely to collapse into a subspace of the parameter space, therefore losing the capability of exploring the entire parameter space. In addition, the SP-UCI method also combines the strength of shuffled complex, the Nelder-Mead simplex, and mutinormal resampling to achieve efficient and effective high-dimensional optimization.

FSK modulation and demodulation