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JudgeLL(1)grammer
- 根据判断一个文法是LL(1)文法的三个条件，逐一实现其判别条件-According to judge a grammar is LL (1) grammar of the three conditions, one by one to achieve its Criterion
MRF2.1
- 利用马尔可夫随机场理论计算能量准则，进行图像分割的最新版本-Using Markov random field theory calculation of the energy criterion for the latest version of Image Segmentation
riterionofsciencetransactions
- 中国高等学校自然科学学报编排规范,要发文章的研究生请看criterion of science transactions -Natural Science Journal of China Universities scheduling norms, it is necessary to graduate Look Fat article criterion of science transactions
fankuidianluqizhengfenxi
- 根据线性微分方程理论重新表述了一种普适的电路起振条件判据，据此推导出三个典型电路起振时的元件参数的取值范围，通过仿真试验加以验证。-According to the theory of linear differential equations re-expression of a universal criterion for the circuit start-up conditions, which are derived thr
msumpegcomparison
- The following Figure 6, Figure 7, and Figure 8 give the similar data for fps. Figure 7 presents fps rate only for the fastest preset of each codec. Figure 8 shows relative position of codecs by encoding speed criteri
icaML
- he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is use
linear_system_identification.tar
- The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model
weighted_total_least_squares_approximation
- The toolbox solves a variety of approximate modeling problems for linear static models. The model can be parameterized in kernel, image, or input/output form and the approximation criterion, called misfit, is a weighted
6
- An Adaptive Variable Block Size Transform Coding System with Lagrangian Cost Function Decision Criterion
InforMaxICA
- 基于Informax判据的ICA算法，属于独立分量分析的一种。-Informax the ICA-based criterion algorithm, belonging to an independent component analysis.
infomax
- 这是一个基于最大信息判据的盲源分离算法程序，这个程序能很好的分离信号。-This is a criterion based on the maximum information algorithm for blind source separation procedures, which can be a very good signal separation.
MDL-in-the-power-quality
- MDL判据在电能质量扰动信号数据压缩中的应用,适合电力系统分析的研究人员参考。-MDL criterion in the power quality disturbance signal data compression application, suitable for power system analysis of the researchers for reference.
DSP2407-correlation(cpu2)
- 两个随机信号相关DSP实现及在故障距离判别运用,是现代信号处理理论教学的实验部分,利于理解随机过程相关的实际意义-Two random signals related to DSP and realize fault distance criterion in the use of modern signal processing theory of part of the teaching experiment, which will
PLSUVECV
- PRINCIPLE: The UVE algorithm detects and eliminates from a PLS model (including from 1 to A components) those variables that do not carry any relevant information to model Y. The criterion used to trace the un-informativ
ResearchonBuildingMethodofGLCMSuitabletoWoodTextur
- 结合特征参数间相关性矩阵与木材纹理自身的特征, 从灰度共生矩阵的11 个特征参数中提取5 个较 独立的特征参数。利用可分性判据确定适于描述木材纹理的灰度共生矩阵构造因子取值( d=2, g=16) 。-Combination of characteristic parameters of inter-correlation matrix with the wood texture of its own features, from
Image
- matlab 关于二值图像熵和交叉熵的计算程序,这一程序与结合其它方法对图像进行分割,作为一个判断标准.-matlab on the binary image entropy and cross entropy calculation procedure, which in combination with other methods and image segmentation, as a criterion.
fcm1
- function [U,V,num_it]=fcm(U0,X) ％ MATLAB (Version 4.1) Source Code (Routine fcm was written by Richard J. ％ Hathaway on June 21, 1994.) The fuzzification constant ％ m = 2, and the stopping criterion for
Barcode-reader-criterion
- 条码阅读设备技术规范.doc 中华人民共和国国家标准，国家质量监督检验检疫总局 发布-Bar code reading equipment technical specifications. Doc People s Republic of China national standard, the State Administration of Quality Supervision, Inspection and Quaranti
jinlinhanshu
- 近邻函数准则是模式识别中重要的聚类算法 有着极为广泛的应用-Neighbor function criterion is an important pattern recognition algorithm has a very wide range of applications
mkcls.2003-09-30
- 该软件是作为训练 词类 不可或缺的软件，利用该软件应用在机器翻译的训练上。-mkcls is a tool to train word classes by using a maximum-likelihood-criterion. The resulting word classes are especially suited for language models or statistical translation models.