To show Gibbs phenomenon, using FFTs to sum Fourier Give the curve plot at the end of the simulation
標簽： the phenomenon simulati Fourier
上傳時間： 2014-01-07
上傳用戶：佳期如夢
elliptic curve加密源代碼，在最小系統上實現的
上傳時間： 2014-08-16
上傳用戶：15071087253
Computes BER v EbNo curve for convolutional encoding / soft decision Viterbi decoding scheme assuming BPSK. Brute force Monte Carlo approach is unsatisfactory (takes too long) to find the BER curve. The computation uses a quasi-analytic (QA) technique that relies on the estimation (approximate one) of the information-bits Weight Enumerating Function (WEF) using A simulation of the convolutional encoder. Once the WEF is estimated, the analytic formula for the BER is used.
標簽： convolutional Computes encoding decision
上傳時間： 2013-12-24
上傳用戶：咔樂塢
curve Fitting Toolbox,Excel Link,Financial Toolbox,Financial Time Series Toolbox,Optimization Toolbox
標簽： Toolbox Financial Optimization Fitting
上傳時間： 2016-03-24
上傳用戶：qwe1234
多項式曲線擬合 任意介數 Purpose - Least-squares curve fit of arbitrary order working in C++ Builder 2007 as a template class, using vector<FloatType> parameters. Added a method to handle some EMathError exceptions. If do NOT want to use this just call PolyFit2 directly. usage: Call PolyFit by something like this. CPolyFit<double> PolyFitObj double correlation_coefficiant = PolyFitObj.PolyFit(X, Y, A) where X and Y are vectors of doubles which must have the same size and A is a vector of doubles which must be the same size as the number of coefficients required. returns: The correlation coefficient or -1 on failure. produces: A vector (A) which holds the coefficients.
標簽： Least-squares arbitrary Purpose Builder
上傳時間： 2013-12-18
上傳用戶：宋桃子
以matlab畫碎形中的dragon curve，非原創
上傳時間： 2013-12-18
上傳用戶：牛津鞋
基于最小二乘原理的曲線擬合程序-A program of curve fitting based on least squares algorithm.
標簽： algorithm program fitting squares
上傳時間： 2016-07-07
上傳用戶：VRMMO
normalized power spectum curve
標簽： normalized spectum curve power
上傳時間： 2016-11-25
上傳用戶：yt1993410
橢圓曲線Elliptic curve)加密算法的開源實現 國內很難下載到 borZoi-1.0.2.tar.gz
上傳時間： 2014-01-14
上傳用戶：xymbian
Computes approximate significance points of a Pearson curve with given first four moments, or first three moments and left or right boundary
標簽： first significance approximate Computes
上傳時間： 2014-06-29
上傳用戶：silenthink
