代码搜索：deviation
找到约 1,443 项符合「deviation」的源代码
代码结果 1,443
www.eeworm.com/read/365319/9869787
m std_phase.m
function std_phase = std_phase (coherence,L);
% STD_PHASE -- Phase standard deviation for single look distributed scatterers.
%
% STD_PHASE(COHERENCE) returns the standard deviation for the phase
%
www.eeworm.com/read/421666/10713125
mod cf12b.mod
/*
Curve fitting problem 12.11(b) H P Williams "Model Building in Mathematical Programming"
Dr. H J Mackenzie
HARD software
hjm@hardsoftware.com
2006-01-23
*/
# set of points
set I;
www.eeworm.com/read/420098/10817052
m std_phase.m
function std_phase = std_phase (coherence,L);
% STD_PHASE -- Phase standard deviation for single look distributed scatterers.
%
% STD_PHASE(COHERENCE) returns the standard deviation for the phase
%
www.eeworm.com/read/299984/7140698
m gencirc.m
%GENCIRC Generation of a one-class circular dataset
%
% A = GENCIRC(N,S)
%
% INPUT
% N Size of dataset (optional; default: 50)
% S Standard deviation (optional; default: 0.1)
%
% OUTPUT
%
www.eeworm.com/read/461264/7230556
pro biweight_mean.pro
FUNCTION BIWEIGHT_MEAN,Y,SIGMA, WEIGHTs
;
;+
; NAME:
; BIWEIGHT_MEAN
;
; PURPOSE:
; Calculate the center and dispersion (like mean and sigma) of a
; distribution using bisquare weighting.
;
; CALLI
www.eeworm.com/read/460435/7251174
m gencirc.m
%GENCIRC Generation of a one-class circular dataset
%
% A = GENCIRC(N,S)
%
% INPUT
% N Size of dataset (optional; default: 50)
% S Standard deviation (optional; default: 0.1)
%
% OUTPUT
%
www.eeworm.com/read/450608/7480568
m gencirc.m
%GENCIRC Generation of a one-class circular dataset
%
% A = GENCIRC(N,S)
%
% INPUT
% N Size of dataset (optional; default: 50)
% S Standard deviation (optional; default: 0.1)
%
% OUTPUT
%
www.eeworm.com/read/449504/7502530
m stdc.m
function m=stdc(x);
% PURPOSE: standard deviation of each column
% -----------------------------------------------------
% USAGE: x = stdc(y)
% where y = input vector
% --------------------------
www.eeworm.com/read/441245/7673394
m gencirc.m
%GENCIRC Generation of a one-class circular dataset
%
% A = GENCIRC(N,S)
%
% INPUT
% N Size of dataset (optional; default: 50)
% S Standard deviation (optional; default: 0.1)
%
% OUTPUT
%
www.eeworm.com/read/297947/7984379
m imagesc_std.m
function imagesc_std(M, epsi)
% imagesc_std - display a rescale version of the image
%
% imagesc_std(M, epsi);
%
% The rescaling is computed according to the standard deviation:
% M