代码搜索：Approach
找到约 1,300 项符合「Approach」的源代码
代码结果 1,300
www.eeworm.com/read/163918/10139982
m er_fsample.m
function f = er_fsample(M,fpts,varargin)
% function f = er_fsample(M,fpts,varargin)
% Computes Type-I FIR filter coefficients using frequency sampling approach.
% Takes filter parameter in M (f
www.eeworm.com/read/280578/10312771
changelog
2005-03-07 Mihai Bazon
* skins/aqua/theme.css: *** empty log message ***
* release-notes.html: updated release notes
* calendar-setup.js:
use a better approach
www.eeworm.com/read/453199/7424720
txt readme_versions.txt
c_jacobi01.c -> Jacobi solver - OpenMP version, two parallel regions with one parallel loop each, the naive approach.
c_jacobi02.c -> Jacobi solver - OpenMP version, 2 parallel loops in one parallel
www.eeworm.com/read/440374/7690059
cpp sparse_table_algorithm.cpp
/*A better approach is to preprocess RMQ for sub arrays of length 2k using dynamic programming.
We will keep an array M[0, N-1][0, logN] where M[i][j] is the index of the minimum value in the sub ar
www.eeworm.com/read/323252/13346517
m decompositionviterbi.m
%%making use of the result of the reference
%rect
%L=1
clear;
clc;
Rb=2400;
Fc=0.5*Rb;
N_sample=4;
Fs=N_sample*Rb;
% N=1000;
M=2;%the modulation level
h
www.eeworm.com/read/218492/4860485
m agd.m
function pdf_pred = agd(pdf,system,params,u,eta,I)
% AGD creates a grid for the point-mass filter using the anticipative
% approach.
% Nonlinear Filtering Toolbox version 2.0-rc4
% Copyright (c) 19
www.eeworm.com/read/326201/3473455
changelog
2005-03-07 Mihai Bazon
* skins/aqua/theme.css: *** empty log message ***
* release-notes.html: updated release notes
* calendar-setup.js:
use a better approach
www.eeworm.com/read/432047/1898934
sql sequence.sql
create sequence accessobject_id;
create sequence approach_id;
create sequence area_id;
create sequence bed_id;
create sequence bedcatalog_id;
create sequence bloodtype_id;
create sequence checki
www.eeworm.com/read/365856/2895013
m agd.m
function pdf_pred = agd(pdf,system,params,u,eta,I)
% AGD creates a grid for the point-mass filter using the anticipative
% approach.
% Nonlinear Filtering Toolbox version 2.0-rc4
% Copyright (c) 19