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gray
- 灰色理论GM(1,1)的理论及实践应用,供大家参考-Gray theory GM (1,1) theory and practical application, for your reference
Halftoning
- 一种灰度图像的半色调图像生成程序。该程序实现了siggraph 2008 论文Structure aware halftoning中的半色调生成算法。该算法基于目标函数优化,用模拟退火方法生成。 该程序可以读入gif,png,jpg,bmp格式的图片,并自动将彩色图转化为灰度图。生成的半色调图目前只支持png格式的输出。 实现语言为java。 在jre 1.6.0_10上测试正常。-A gray-scale image halftoning image generation pro
f_cc_encoder_tailbiting
- CC编码的matlab实现,802.16- Encodes input_bits with a constraint length 7, rate 1/2, 2/3, 3/4, or 5/6 encoder as specified in section 8.4.9.2.1 of 802.16e
GM_1_1
- 灰色gm(1,1)模型,当做函数可以调用,中间注释写得很详细,稍加修改即可成为灰色系统中别的算法。-Gray gm (1,1) model, as a function can call the Notes between very detailed, a little modification to the system as a gray-level algorithm.
Matlap
- learningMatlab PhÇ n 1 c¬ së Mat lab Ch ¬ ng 1: Cµ i ® Æ t matlab 1.1.Cµ i ® Æ t ch ¬ ng tr×nh: Qui tr×nh cµ i ® Æ t Matlab còng t ¬ ng tù nh vi&
fixed_point
- Fixed-Point iteration-Function fixed_point(p0, N) approximates the solution of an equation f(x) = 0, rewritten in the form x = g(x), which is a sub-function the user has to enter. the call to the function fixed_point(p0, N) returns the root of the eq
mmahjongg
- 这是一个用Matlab编写的麻将连连看程序,对于图像操作的理解有很好的帮助。-This game is a matlab version of the famous chinese tile matching game. The look and feel of the game is similar to xmahjongg game. I used to play xmahjongg when I used the old xsparc system maybe more
doolittle
- 1.n个节点分段Lagrange插值多项式; 2.使用格式y=lagrange(x0,y0,x,k); 3.输入项x0为n维插值节点向量,y0为n维被插函数值向量; 4.x为m维插值点向量,k为分段插值多项式次数,不超过3,缺省为k=1; 5.输出y为插值点x处的函数值;- 1.n a sub-node Lagrange interpolation polynomial 2. The use of the format y = lagrange (x0, y0,
random
- 第13章: 随机数生成 PFQZ 用平方取中法产生随机数列 MixMOD 用混合同余法产生随机数列 MulMOD1 用乘同余法1产生随机数列 MulMOD2 用乘同余法2产生随机数列 PrimeMOD 用素数模同余法产生随机数列 PowerDist 产生指数分布的随机数列 LaplaceDist 产生拉普拉斯分布的随机数列 RelayDist 产生瑞利分布的随机数列 CauthyDist 产生柯西分布的随机数列 AELDist 产生爱尔朗分布的随机数列
nscttlb-1.0
- Nonsubsampled Contourlet Toolbox: MATLAB source code that implements the nonsubsampled contourlet transform as described in the paper The nonsubsampled contourlet transform: Theory, design, and applications.
Four-barlinkage
- 与四连杆之分析相同,在任何杆之延伸点上之位移、速度及加速度等亦可利用sldlink()、body()、fb_sld_linits()及drawlinks()等函数进行分析。 利用drawsldpaths()函数则可达到整合的目的。 其呼叫之方式如下: drawsldpaths(r6,th6,r,th1,theta,td2,tdd2,sigma,npts,driver,mode) 输入参数 • r :四连杆之长度,一列向量表示。 •
Mixmod-2.1
- matlab mixture model 1d
imrotate_my
- 一个空间点P绕一个中心点C旋转可用接续的三个变换来实现:第1个变换平移点C到坐标系原点位置,第2个变换将点P绕原点旋转,第3个变换平移点C回到其相对于坐标系原点的原始位置。当原始图像点乘以变换矩阵,得到新的图像位置点时,其位置可能不是整数值,该位置的灰度值需要通过灰度插值获得。在不改变输出图像大小的情况下,超出原始图片范围的区域,MATLAB原有函数imrotate的处理方法为将其灰度值全部置零,本文通过取模操作对超出区域进行了另外一种控制方法imrotate_my函数,能够较好的显示出图像旋转
www
- 瑞丽信道仿真 噪声信号由MATLAB函数randn(1,N)产生,它从均值为0、方差为1的正态分布中产生N个伪随机数。每次迭代时,要使用相应的标准差对噪声的幅度进行尺度变换,最后,将输入信号和噪声信号相加得到输出信号。-Ruili channel simulation noise signal by the MATLAB function randn (1, N) generated, which from the mean 0, variance for a normal distribu
libsvm-mat-2.9-1
- libsvm工具箱,用于分类的绝佳工具,也可用于非线性回归及预测,或拟合,其中文本分类是其长项,回归性能非常好-libsvm toolbox, an excellent tool for the classification can also be used for non-linear regression and forecasting, or fitting, of which text categorization is its long entry and return to a ve
1
- 用分段IFS拟合离散序列的matlab程序 看过Hayes的一篇文章 “Using Iterated Function System to Model Discrete sequences”,我用文章中所用的分段IFS模型写了一段matlab程序以拟合一段网络流量(所用的网络流量是用txt文档保存的一维时间序列)。 程序有用分段IFS编码然后再解码合成数据的过程,还包括计算压缩比。 -IFS fitting with discrete sub-sequences of matlab
svc
- this the simulation model of the two generator system with midpoint voltage compensation in the open loop using the fc-tcr with the firing of the scr in the open loop. the midpoint voltage iss compensated and bring down to the nearly 1 p.u.
lagc
- 求系统串联滞后校正器传递函数的函数 ,其中sope是系统的开环传递函数,当key=1时,var为gama,是根据要求校正后的相角 稳定裕度计算之后校正器;当key=2时,var=wc,则是 根据要求校正后的剪切频率计算校正器。-Demand system is connected lag compensator transfer function of the function, which sope is the system open-loop transfer functi
Levinson_Durbin_Algo
- 功能描述:用matlab语言实现Levinson-Durbin算法 函数名:Levinson_Durbin_Algo 输入参数: (1)R:自相关矩阵或者其估计值 (2)P:AR模型的阶数 输出参数: (1)A:p阶AR模型的参数,它是一个长度为P+1的行向量 (2)E:噪声功率 调用函数:无 被调用:L_D_sim.m 作者:mingcheng 编写时间:2009-11-13 修改时间:2009-11-1
K-Fold_CV_Tool
- MATLAB cross-validation tool for classification and regression v0.1 FEATURES: + K-fold cross validation. + Arbitrary train and prediction functions with parameters can be used. + Arbitrary loss function can be used. + Wrappers for