<li id="oeqqw"></li> <nav id="oeqqw"></nav> 數(shù)據(jù)挖掘管理系統(tǒng)規(guī)范說明 現(xiàn)狀簡介 強(qiáng)度挖掘(Intension Mining) I-MIN過程模型(process Model) I-MIN系統(tǒng)的功能組件(Functional Components) 強(qiáng)度挖掘算子(Operators) I-MIN系統(tǒng)的三層體系結(jié)構(gòu)(Architecture) 小結(jié)
標(biāo)簽： I-MIN Functional Intension process
上傳時間： 2015-08-12
上傳用戶：youlongjian0
1. How the termination of the current process?
標(biāo)簽： termination the current process
上傳時間： 2013-12-16
上傳用戶：sssl
關(guān)于Digital Signal process中FIR ， IIR濾波器的設(shè)計與實(shí)現(xiàn)
標(biāo)簽： Digital process Signal FIR
上傳時間： 2013-12-23
上傳用戶：1966640071
Scan image DSP process Sca n image DSP process Sca n image DSP process Sca n image DSP process
標(biāo)簽： process image DSP Sca
上傳時間： 2013-12-18
上傳用戶：lnnn30
ICA/BSS for Wireless Communication first-Order Differential Beamforming and Joint-process Estimation for Spatial Source Separation 一篇論文.
標(biāo)簽： Communication Joint-process Differential Beamforming
上傳時間： 2013-12-05
上傳用戶：Shaikh
mainly in the instraction distillation process.
標(biāo)簽： distillation instraction process mainly
上傳時間： 2014-12-01
上傳用戶：417313137
Introduction to process Improvement and the Capability Maturity Model (CMM)軟件CMM認(rèn)證的介紹
標(biāo)簽： Introduction Improvement Capability CMM
上傳時間： 2015-09-02
上傳用戶：wlcaption
Knowledge of the process noise covariance matrix is essential for the application of Kalman filtering. However, it is usually a difficult task to obtain an explicit expression of for large time varying systems. This paper looks at an adaptive Kalman filter method for dynamic harmonic state estimation and harmonic injection tracking.
標(biāo)簽： application covariance Knowledge essential
上傳時間： 2014-01-19
上傳用戶：litianchu
The Bayesian Committee Machine (BCM) is an approximation method for large-scale Gaussian process regression. - The code is for Matlab Version 1.0, November 2005
標(biāo)簽： approximation large-scale Committee Bayesian
上傳時間： 2015-09-14
上傳用戶：caiiicc
This getting started exercise will guide you through the step-by-step process of transforming a MATLAB floating-point model into a hardware module that can be implemented in silicon (FPGA or ASIC). The design is a general purpose FIR filter taken from the AccelDSP Examples directory.
標(biāo)簽： step-by-step transforming exercise getting
上傳時間： 2014-01-17
上傳用戶：VRMMO
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