PMSM_FOC

Power line comunication simulator

computation of intensity factors in piezoelectric solids

本文件含有关于matlab学习的资料，适用于初学者(This document contains information on learning matlab for beginners)

Intel IA-32 X86 Processor Architecture

这是一个超分辨率图像复原的代码，仿真实验结果较好，不过原作者对其中两个文件处理过，所以不知道具体的原理(This is a super-resolution image restoration code, simulation results, however, the original author treated them two files, so I do not know the specific principle)

灰色系统与模糊数学、黑箱方法的区别，灰色系统预测GM（1，1）模型，GM（1，N）模型，灰色系统模型的检验，应用举例。(Grey and fuzzy math, the difference between black-box approach, Grey forecasting GM (1,1) model, GM (1, N) model, gray system model testing, application examples.)

本文详细描述了利用三元一参法客观评估学生学习状况，并用灰色理论对学生成绩走向进行预测，可行性极强。 欢迎广大算法爱好者对次评估系统进行改进，同时也希望从事教育行业并且对数学算法有一定了解的朋友们，可以将此模型应用于初中及高中学生。此模型获得东北三省数学建模联赛二等奖。算法使用Matlab实现，部分给出。 (This paper describes the use of objective assessment of the Act Three students in a learning situation, and using gray theory to predict the direction of student achievement, feasibility strong. Welcome fans of the sub-evaluation system algorithm to improve, but also want to engage in the education sector and have some understanding of mathematical algorithms friends, this model can be applied to middle and high school students. This model of mathematical modeling to obtain Northeast League Award. Algorithm using the Matlab implementation, part of the given.)

在Matlab simulink仿真环境中，用恒压法实现MPPT模型仿真。(IN Matlab simulink simulation environment, MPPT model simulation using the constant voltage method.)

1.设计自适应信号分离器，用以从白噪声中提取周期信号。其中选取正弦信号s=sin(2*pi*t/10)为周期信号，宽带噪声信号为高斯白噪声，设置参考通道延迟为50。 2.宽带信号中的窄带干扰抑制实际上是自适应信号分离的一种应用，借助自适应信号分离器可以方便的实现窄带干扰的对消。(1. Design of adaptive signal separator, used to extract from the white noise periodic signal. The extraction of sinusoidal signals s = sin (2* pi* t/10) for periodic signals, broadband noise signal is Gaussian white noise, set the reference channel delay of 50. 2. Wideband signals in the narrow-band interference suppression is actually an application of adaptive signal separation, using adaptive signal separator can be easily achieved narrowband interference cancellation.)

In this paper the reduction of Intersymbol Interference (1 ) in mobile communication channels is addressed. A well known technique for IS1 reduction is adaptive equalization in which the time-varying characteristics of the mobile channel is tracked by an adaptive algorithm. We compare different adaptive strategies and equalizer structures with respect to overall system performance in terms of computational complexity, numerical stability, finite wordlength effects, size and power consumption required for VLSI implementation.