expintegrals.cpp

使用MATLAB编写的GUI程序 可实现list菜单的增减(GUI using MATLAB program can be prepared to achieve changes in the menu list)

生成雷达探测中五种Swerling模型的pdf曲线，经调试过，可以用(Pdf curves generated radar five Swerling model, after debugging, you can use)

EOF,气象中用来分析主分量的工具。也叫主分量分析。(EOF useful)

用于提取语音每帧的mfcc函数，将数据保存在cell文件中，可以直接使用cell，也可经过变换，提取到表格中使用(The MFCC function used to extract each frame of speech is saved in cell file. Cell can be used directly or transformed to extract the data into tables)

四种窗函数设计FIR数字滤波器matlab源码（hant,hamming,blackman,kaiser)(use window functions to design digital low-pass FIR filter...)

求x的平均值，但对其中的一列或几列数据进行求和。(Calculate arithmetic means of matrix x，but calculate the sum of one or some columns. )

denoise In BayesShrink[5] we determine the threshold for each subband assuming a Generalized Gaussian Distribution(GGD) . The GGD is given by GG¾ X ¯ (x) = C(¾ X ¯ )exp¡ [® (¾ X ¯ )jxj]¯ (6) ¡ 1 < x < 1 ¯ > 0, where ® (¾ X ¯ ) = ¾ ¡ 1 X [ ¡ (3=¯ ) ¡ (1=¯ ) ]1=2 and C(¾ X ¯ ) = ¯ ¢ ® (¾ X ¯ ) 2¡ ( 1 ¯ ) and ¡ (t) = R1 0 e¡ uut¡ 1du. The parameter ¾ X is the standard deviation and ¯ is the shape parameter It has been observed[5] that with a shape parameter ¯ ranging from 0.5 to 1, we can describe the the distribution of coefficients in a subband for a large set of natural images.Assuming such a distribution for the wavelet coefficients, we empirically estimate ¯ and ¾ X for each subband and try to find the threshold T which minimizes the Bayesian Risk, i.e, the expected value of the mean square error.

matlab adaptive filter project codes

Stephen J.Chapman《Matlab编程(中文版)》 Stephen, Matlab编程 本文为Stephen J.Chapman《MATLAB编程（第二版）》英文影印版的中文译本，这本书对初学者很好的入门教材。 第一章 Matlab入门 第二章 Matlab基础 第三章 分支语句和编程设计 第四章 循环结构 第五章 自定义函数 第六章 复数数据、字符串和附加画图类 第七章 稀疏矩阵、单元阵列结构 第八章 输入输出函数 第九章 句柄图形 第十章 用户图形界面 (Stephen J. Chapman " Matlab programming (English Version)" Stephen, Matlab programming paper for the Stephen J. Chapman " MATLAB Programming (Second Edition)" English copy version of the Chinese translation of the book a good primer for beginners. Chapter I Introduction Chapter II Matlab Matlab based on Chapter III branch statements and Programming Chapter IV Chapter V loop structure defined functions Chapter VI complex data, strings and additional drawing classes Chapter VII of the sparse matrix, cell array structure of the eighth input and output functions of Chapter IX Chapter X Chapter Handle Graphics GUI)

无刷双馈电机的模型，无刷双馈电机在风力发电上很有用希望对大家有帮助。(BDFM model of BDFM in wind power on the very useful hope everyone has to help.)