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/192078/8408313
m lms3.m
%LMS3 Problem 1.1.1.2.1
%
% 'ifile.mat' - input file containing:
% I - members of ensemble
% K - iterations
% a1 - coefficient of input AR process
% sigmax - standard dev
www.eeworm.com/read/192078/8408331
m rls3.m
%RLS3 Problem 1.1.1.2.3
%
% 'ifile.mat' - input file containing:
% I - members of ensemble
% K - iterations
% a1 - coefficient of input AR process
% sigmax - standard dev
www.eeworm.com/read/192078/8408337
m vrls.m
%VRLS Volterra RLS algorithm
%
% 'ifile.mat' - input file containing:
% Nr - members of ensemble
% dim - iterations
% Sx - standard deviation of input
% Sn - standard deviation
www.eeworm.com/read/192078/8408357
m nlrls2.m
%NLRLS2 Problem 1.1.1.2.5
%
% 'ifile.mat' - input file containing:
% I - members of ensemble
% K - iterations
% a1 - coefficient of input AR process
% sigmax - standard d
www.eeworm.com/read/391275/8412930
m gmcoarsetopo.m
function [varargout]=gmcoarsetopo(varargin)
%% gmcoarsetopo tries to coarsen (reduce the number of) a brep's topological
%% entities.
%% Tcl/Tk: gmset b2 [gmcoarsetopo $b $allowable_g1_deviation]
%
www.eeworm.com/read/191613/8427128
cpp pr0632.cpp
// Programming with C++, Second Edition, by John R. Hubbard
// Copyright McGraw-Hill, 2000
// Problem 6.32 on page 146
// Computing the standard deviation
#include // defines the
www.eeworm.com/read/189239/8482979
m main.m
% Program 2-3
% main.m
%
% calculate mean, dispersion and standard deviation for the vector data
%
% Programmed by H.Harada
%
data=rand(1,20);
mvalue2=mvalue(data);
[sigma2, sigma]= disper(
www.eeworm.com/read/288479/8630436
m stdize.m
function x = stdize(x, opt)
%STDIZE Standardize columns to have mean 0 and standard deviation 1.
%
% x = stdize(x)
% x = stdize(x, 1)
%
% A 1 as second argument gives normalization with N inst
www.eeworm.com/read/288447/8631509
m zaboduixiao3.m
clc;
clear;
fc=10.7e6;%10.7e6;%载频
fs=0.408e6*2;
df1=1000;%多普勒
df2=2000;%多普勒
df3=3000;%多普勒
m=14.5;td=m/fs; %时延6
N=8192*2;%fs;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%白噪声过滤低通波器 作为调制信号
%%%%%
www.eeworm.com/read/431613/8665589
m normal.m
function y=normal(x,m,s)
% FUNCTION y=NORMAL(x,m,s)
% Gaussian distribution
% m=mean
% s=standard deviation
y=(1/sqrt(2*pi*s^2))*exp(-((x-m).^2)/(2*s^2));