搜索资源列表
09_CE_GB
- • 如何将客户的意见反应在过程的改善中,依此排定改善措施的优先顺 序 • 连结因果矩阵与流程图 • 复习建立因果矩阵的步骤 • 在过程改善计划中将因果矩阵与进一步的行动结连 • 练习如果建立因果矩阵-• How will customers react in the process of improving, so the scheduled improvements to the priority •
FFTfractsplinefilters
- Computation of the frequency response of the low- and high-pass filters that generate the orthonormal or semi-orthonormal (B-spline or dual) fractional splines of degree alpha, and of type + (causal), - (anticausal) or * (symmetric).-fract s
WPFFishControl
- 基于WPF的鱼刺图组件，进行因果分析，呈现与逻辑分离，可根据需求自己定制。使用方式与Tree添加节点一致-Based on the WPF, shark fin figure components causal analysis
wiener_filter
- 维纳滤波器的matlab仿真，包括因果和非因果维纳滤波器，非常有用-MATLAB simulation of Wiener filter, including causal and non-causal Wiener filter, very useful
Causal-FIR-filter
- Causal FIR Wiener filter. Part 1: Setting up the Input signal to the Wiener Filter Part 2: Implementation of the FIR wiener filter
Causal-IIR
- Non-Causal IIR Filter Part 1: Setting up the Input signal to the Wiener Filter Part 2: Seperating the negative lags and positive lags... The one at 0 index is clustered together in the positive part highqq -Non-Causal IIR Filter
Non--Causal-IIR
- Non causal IIR Wiener filter Part 1: Setting up the Input signal to the Wiener Filter Part 2: Implementation of the IIR wiener filter
IIR-weina
- 利用因果iir维纳滤波器对信号进行滤波，优化噪声的影响 -Iir using causal Wiener filter for filtering the signal to optimize the effects of noise
Causality_Hurlin
- 这段代码计算Wbar和Zbar测试统计同质的非因果关系(HNC)假说。-This code computes the Wbar and Zbar test statistics of the Homogenous Non Causality (HNC) hypothesis. Under the null hypothesis of Homogenous Non Causality (HNC) hypothesis, there is no causal relationship for all
非线性Granger因果检验matlab程序
- matlab程序包。用于格兰杰因果分析，分析数据时，直接带入数据即可。(Matlab package. Granger causal analysis)
方差分析和回归分析分开的.R
- 使用R语言实现方差分析和因果分析的一个小例子，附数据。(Using R language to achieve variance analysis and causal analysis of a small example, with data.)
Matlab_code_with_GUI
- A Fuzzy Cognitive Maps (FCMs) is a modelling methodology based on exploiting knowledge and experience. FCMs were proposed by Kosko (1986) to represent the causal relationship between concepts and analyze inference patterns. FCM is a soft computing t