代码搜索:Variance

找到约 2,271 项符合「Variance」的源代码

代码结果 2,271
www.eeworm.com/read/102430/15780784

conf ts.conf

module variance xlimit=50 ylimit=50 pthreshold=1 module dejitter xdelta=10 ydelta=10 pthreshold=1 module linear
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m mod2trans.m

No=variance; tx_waveform=bpsk(u,1); %amp= 1 rx_waveform=awgn(tx_waveform,No);
www.eeworm.com/read/100397/15874777

cpp newran.cpp

// newran.cpp ----------------------------------------------------------- // NEWRAN02 #define WANT_STREAM #define WANT_MATH #include "include.h" #include "newran.h" //#include "mother.h" #ifdef us
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h newran.h

// newran.h ------------------------------------------------------------ // NEWRAN02 #ifndef NEWRAN_LIB #define NEWRAN_LIB 0 //******************* utilities and definitions ************************
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m ekfukftry.m

% PURPOSE : Demonstrate the differences between the following filters on the same problem: % % 1) Extended Kalman Filter (EKF) % 2) Unscented Kalman Filter (UKF) %
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m ar1nv.m

function [g,a]=ar1nv(x) % AR1NV - Estimate the parameters for an AR(1) model % Syntax: [g,a]=ar1nv(x); % % Input: x - a time series. % % Output: g - estimate of the lag-one autocorrelation.
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m gauss_cdf.m

% This function gives values from the Gaussian PDF % with mean m and variance sig^2. % % A vector of means for constant variance will work % or a vector of means and variances. % Vector q does n
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m kfdemo.m

disp(' ----------------------'); disp('|Bayesian Kalman filter|'); disp('|Stephen Roberts - IMPC|'); disp(' ----------------------'); disp(' '); disp('to get help about Kalman filter program');
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m cp0602_gaussian_psd_nth.m

% % FUNCTION 6.4 : "cp0602_Gaussian_PSD_nth" % % Generates the normalized PSD of the n-th derivative of % the Gaussian pulse with variance sigma^2 as defined in: % % Sheng, H., P. Orli
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c ga_stats.c

/********************************************************************** ga_stats.c ********************************************************************** ga_stats - Statistics routines. Copyri