DFIG-system-load-flow-calculation

mathlab simulink position

也是一个MATLAB编程的程序，关于如何图像压缩的(MATLAB is a programming process, on how to image compression)

Langmuir_Probe PLASMA simulation

This ClassVisitor removes InnerClasses and EnclosingMethod attributes in classes that are retargeted or that refer to classes that are retargeted.

高通滤波器实现，可用于小目标检测，效果还不错，对于初学者很有帮助(High-pass filter can be used for small target detection, the results were good, very helpful for beginners)

1.median_filter (功能:使用中值濾波器去除雜訊) 2.mean_filter (功能:使用平均濾波器去除雜訊) 3.fl_stein (功能:使用誤差擴散法,將影像量化和混色) 4.Central_limit (功能:畫圖並證明中央極限定理) (1.median_filter (function: use median filter to remove noise) 2.mean_filter (function: using the average filter to remove noise) 3.fl_stein (function: using the error diffusion method, the image quantification and blending) 4. Central_limit (function: drawing and prove the central limit theorem))

微波与光电子学中的电磁理论第二版，光电子学必备书籍(Microwave and Optoelectronics electromagnetic theory of the second edition, optoelectronics essential books)

用于盲信号分离的LMS算法，可以从混合的观测向量中分离出需要的信号，判读的标准是计算串音误差(For the LMS algorithm for blind signal separation can be observed from the hybrid vector needs to separate out the signals, the standard interpretation is to calculate the crosstalk error)

MATLAB7.X信号处理工具箱函数汇总 1、 滤波器分析与实现 2、 FIR数字滤波器设计 3、 IIR数字滤波器设计 4、 模拟滤波器设计 5、 模拟滤波器变换 6、 滤波器离散化 7、 线性系统变换 8、 窗函数 9、 变换 10、 统计信号处理与谱分析 11、 参数模型 12、 线性预测 13、 多采样率信号处理 14、 波形产生 15、 特殊操作(MATLAB7.X Signal Processing Toolbox functions Rollup 1, filter analysis and implementation of 2, FIR digital filter design 3, IIR digital filter design 4, 5 analog filter design, analog filter transform 6, 7 discrete filter, 8 linear system transformation, the window function 9, 10 transformation, statistical signal processing and spectrum analysis 11, 12-parameter model, linear prediction 13, 14 of multirate signal processing, waveform generator 15, a special operation)

脑电中的递归式的处理方法，相比参数估计的方法更加智能，ＬＭＳ是最小均方误差法，是十分经典的一种方法，里面是包括一些最新的改进。(EEG recursive style approach, parameter estimation method compared to more intelligent, LMS is the minimum mean square error method is a very classical approach, which is to include some of the latest improvements.)