turbomatlab

自适应LMS（最小均方误差）滤波器。（改变步长检查收敛速率）(Adaptive LMS (minimum mean square error) filter)

电偶源频率域可控源 CSAMT一维正演程序 ( CSAMT one dimensional forward procedure)

贝叶斯压缩感知工具包，matlab源代码，BCS入门工具包，配合文章学习。(tools for Bayesian compressian sensing. matlab souce code.)

对眼电图、心电图以及正玄函数的图像进行峰值提取(Cross-eyed emg), electrocardiogram (ecg) and peak is xuan function image are extracted )

可用于光伏出力预测，引入气象影响因子，效果良好(It can be used to predict PV output, and the effect is good)

应用平面波法模拟3-D钻石型光子晶体结构的带隙分布.(Application of Plane Wave Simulation of 3-D diamond-type photonic crystal structure, the distribution of band-gap.)

采用matlab计算石墨烯电导率的Kubo公式(Kubo formula for calculating the conductivity of graphene using MATLAB)

电力电子变换器采用重复控制策略。在反馈回路中设置一个内部模型，使该内部模型能够很好地描述系统外部信号特性，通过该模型的作用可使系统获得理想的指令跟踪特性，具有较强的扰动抑制能力。(Repetitive Control Strategy for Power Electronic Converter.An internal model is set up in the feedback loop, which can describe the external signal characteristics of the system well. Through the function of this model, the system can obtain ideal command tracking characteristics, and has strong disturbance rejection ability.)

说明：  光源三刺激值XYZ计算，其中包含光源数据和加权值，可直接运行(XYZ calculation of light source tristimulus value, including light source data and weighted value, which can be operated directly)

假设一个接收到的信号为：x(t)=s(t)+n(t), 其中s(t)=A*cos(wt+a), 已知信号的频率w=1KHz， 而信号的幅度和相位未知，n(t)是一个服从N(0,1)分布的白噪声。为了利用计算机对信号进行处理， 将信号按10KHz的频率进行采样。 通过对x(t)进行LMS自适应信号处理，从接收信号中滤出有用信号s(t). 在未知信号频率的情况下，通过对x(t)进行LMS自适应信号处理，从接收信号中滤出有用信号s(t). (Assuming a received signal: x (t) = s (t)+ n (t), one of s (t) = A* cos (wt+ a), the known frequency signal w = 1KHz, And the signal amplitude and phase of the unknown, n (t) is a subject to N (0,1) the distribution of white noise. The use of computers in order to deal with the signal, The signal by sampling frequency of 10KHz. Of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t). Frequency signals in unknown circumstances, the adoption of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t).)