for entropy H = entropy(S) this command will Evaluate the entropy of S, S should be row matrix H = entropy([X Y Z]) this command will find the joint entropy for the 3 variables H = entropy([X,Y],[Z,W]) this will find H(X,Y/Z,W).. you can use it for any combination of joint entropies Please validate this function before using it
標簽： entropy Evaluate command matrix
上傳時間： 2017-09-10
上傳用戶：caozhizhi
Maxim Analog Essentials are a series of plug-in peripheral modules that allow engineers to quickly test, Evaluate, and integrate Maxim components into their hardware/software designs. The modules electrically and physically conform to the Digilent Pmod™ interface specification and are compatible with any Digilent Pmod-compatible header.
標簽： 模擬技術
上傳時間： 2013-11-14
上傳用戶：ljj722
Demonstration circuit 1562A is an engineering toolto design and Evaluate the LTC699X-X family ofTimerBlox circuits. The center section of the boardcontains a pre-configured TimerBlox function.DC1562A comes in twelve timing function variationsas outlined in Table 1.Surrounding the center board is a ”playground”prototyping area. The prototyping area has padsfor Dip-8, S8, MS8, or S6 packages with breadboarding connections to each pin and two convenientpower buses and ground bus surrounding theentire area. This area is for conditioning signals tocontrol the timer function and for adding loads controlled in time.
上傳時間： 2013-10-18
上傳用戶：如果你也聽說
PIECEWISE_EVAL: Evaluates a piecewise function of x usage: y = PIECEWISE_EVAL(x,breakpoints,funs) arguments (input) x - vector or array of points to Evaluate though the function breakpoints - list of n breakpoints, -inf and +inf are implicitly
標簽： PIECEWISE_EVAL breakpoints Evaluates piecewise
上傳時間： 2014-01-25
上傳用戶：xyipie
Robustnesstochangesinilluminationconditionsaswellas viewing perspectives is an important requirement formany computer vision applications. One of the key fac-ors in enhancing the robustness of dynamic scene analy-sis that of accurate and reliable means for shadow de-ection. Shadowdetectioniscriticalforcorrectobjectde-ection in image sequences. Many algorithms have beenproposed in the literature that deal with shadows. How-ever,acomparativeevaluationoftheexistingapproachesisstill lacking. In this paper, the full range of problems un-derlyingtheshadowdetectionareidenti?edanddiscussed.Weclassifytheproposedsolutionstothisproblemusingaaxonomyoffourmainclasses, calleddeterministicmodeland non-model based and statistical parametric and non-parametric. Novelquantitative(detectionanddiscrimina-ionaccuracy)andqualitativemetrics(sceneandobjectin-dependence,?exibilitytoshadowsituationsandrobustnesso noise) are proposed to Evaluate these classes of algo-rithms on a benchmark suite of indoor and outdoor videosequences.
標簽： Robustnesstochangesinillumination conditionsaswellas perspectives requirement
上傳時間： 2014-01-23
上傳用戶：whenfly
The human resources management system management system operatingprocedure, welcome everybody to Evaluate after testing with the use
標簽： management system operatingprocedure everybody
上傳時間： 2014-01-11
上傳用戶：釣鰲牧馬
This paper addresses a stochastic-#ow network in which each arc or node has several capacities and may fail. Given the demand d, we try to Evaluate the system reliability that the maximum #ow of the network is not less than d. A simple algorithm is proposed "rstly to generate all lower boundary points for d, and then the system reliability can be calculated in terms of such points. One computer example is shown to illustrate the solution procedure.
標簽： capacities stochastic addresses network
上傳時間： 2015-12-03
上傳用戶：xfbs821
This paper addresses a stochastic-#ow network in which each arc or node has several capacities and may fail. Given the demand d, we try to Evaluate the system reliability that the maximum #ow of the network is not less than d. A simple algorithm is proposed "rstly to generate all lower boundary points for d, and then the system reliability can be calculated in terms of such points. One computer example is shown to illustrate the solution procedure.
標簽： capacities stochastic addresses network
上傳時間： 2013-12-25
上傳用戶：ggwz258
This paper addresses a stochastic-#ow network in which each arc or node has several capacities and may fail. Given the demand d, we try to Evaluate the system reliability that the maximum #ow of the network is not less than d. A simple algorithm is proposed "rstly to generate all lower boundary points for d, and then the system reliability can be calculated in terms of such points. One computer example is shown to illustrate the solution procedure.
標簽： capacities stochastic addresses network
上傳時間： 2014-01-09
上傳用戶：二驅蚊器
This paper addresses a stochastic-#ow network in which each arc or node has several capacities and may fail. Given the demand d, we try to Evaluate the system reliability that the maximum #ow of the network is not less than d. A simple algorithm is proposed "rstly to generate all lower boundary points for d, and then the system reliability can be calculated in terms of such points. One computer example is shown to illustrate the solution procedure.
標簽： capacities stochastic addresses network
上傳時間： 2013-12-28
上傳用戶：獨孤求源
