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RDAExam
- sqlce2.0的数据库实现，与sql server 2000通过rda方式进行数据同步-sqlce2.0 the database, with sql server 2000 through causal way data synchronization
BayesMFC
- 针对Bayes网络中有关因果推理的方法设计与实现-against the Bayesian network of causal reasoning Design and Implementation
Class_definition_file_FIR_Filter
- FIR滤波器的C++实现 Below are program source listings for FIR.h and FIR.cpp, the header file and class file for implementing arbitrary causal FIR filters in the Synthesis Tool Kit (STK) framework
贝叶斯网络的因果推理关系
- 人工智能实验§贝叶斯网络的因果推理关系§ 熟悉掌握Bayes定理，学习贝叶斯网络的因果推理-artificial intelligence experiments Bayesian network causal reasoning relations mastery Bayes Theorem, learning Bayesian network causal reasoning
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- 处理armada（2，3）的程序 可以比较自由处理因果可逆程序预报问题-Processing armada (2,3) process can be relatively free to deal with the issue of causal forecasting reversible process
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 •
apsignalproc
- The Window Design Method The basic idea behind the design of linear-phase FIR filters using the window method is to choose a proper ideal frequency-selective filter [which always has a noncausal, infinite duration impulse response] and then tru
hilbert_transformer_latest.tar
- The Hilbert Transform is an important component in communication systems, e.g. for single sideband modulation/demodulation, amplitude and phase detection, etc. It can be formulated as filtering operation which makes it possible to approximate the Hil
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
WienerFilters
- All three kinds of Wiener Filters, FIR, Causal, Noncausal
MATLAB
- this program test certain system is timevariant or not. linear or not, causal or not
doc_filter_by_software_c_code
- 1、限幅滤波法（又称程序判断滤波法） A、方法： 根据经验判断，确定两次采样允许的最大偏差值（设为A） 每次检测到新值时判断： 如果本次值与上次值之差<=A,则本次值有效 如果本次值与上次值之差>A,则本次值无效,放弃本次值,用上次值代替本次值 B、优点： 能有效克服因偶然因素引起的脉冲干扰 C、缺点 无法抑制那种周期性的干扰 平滑度差 -1, limiting filtering method (also known
KramersKronigrelations
- 进行KK关系的计算，对于因果事件的分析有好处-KK relations for the calculation of benefits for the causal analysis of events
recursion-in-the-expert-systems
- 在智能故障诊断中, C(C++)语言具有多方面优于传统人工智能语言(如LISP、PROLOG)的特性, 它对递归的支持使得用 其来开发故障诊断专家系统成为可能。本文研究了故障诊断专家系统开发中用到的递归方法及其基于C(C++)的实现, 具体 包括: 动态数据库设计中结构体的递归定义, 推理机设计中函数的递归调用等。针对知识推理中易出现的“循环递归”问题, 提出了一种基于“因果网络直观图”的解决方法。-C ( C++ )language possesses characteristic
li-slides
- Bounded-Input Bounded-Output (BIBO) Stability: All poles of H(z) are inside the unit circle for a causal system (where h(n)=0, n< 0). • FIR Filter: N=0. • IIR Filter: N>0. • Minimum Phase: All poles and zeroes of H(z) a
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
- 维纳滤波 相关程序 基于最小均方误差(MMSE)估计的因果维纳滤波的实现-Wiener filtering procedures based on the minimum mean square error (MMSE) estimate of the causal Wiener filter implementation
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