代码搜索：ESTIMATION
找到约 3,786 项符合「ESTIMATION」的源代码
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www.eeworm.com/read/361768/10036555
m contents.m
% UCSD_GARCH Toolbox.
% Version 2.0 01-Jan-2002
%
% Help and Documentation
% ucsd_garch_demo - A demo of the garch toolbox
%
% Main Univariate Mean Functions
% armaxfilter
www.eeworm.com/read/165851/10049138
m program_07_5.m
% Program 7_5
% Estimation of FIR Filter Order Using remezord
%
fedge = input('Type in the bandedges = ');
mval = input('Desired magnitude values in each band = ');
dev = input('Allowable deviati
www.eeworm.com/read/163777/10145939
m program_7_5.m
% Program 7_5
% Estimation of FIR Filter Order Using remezord
%
fedge = input('Type in the bandedges = ');
mval = input('Desired magnitude values in each band = ');
dev = input('Allowable deviati
www.eeworm.com/read/357506/10208395
m program_10_1.m
% Program 10_1
% Estimation of FIR Filter Order Using remezord
%
fedge = input('Type in the bandedges = ');
mval = input('Desired magnitude values in each band = ');
dev = input('Allowable deviat
www.eeworm.com/read/356808/10221059
m d_order.m
%D_ORDER HOSA Demo: Linear Processes - ARMA model order determination.
echo off
% Demo of arorder, maorder
% A. Swami Jan 20, 1995
% Copyright (c) 1991-2001 by United Signals & Systems, Inc
www.eeworm.com/read/424743/10420332
m get_structure.m
function str = get_structure( name )
%STRUCTURE Summary of this function goes here
%
% Structure used in this toolbox.
%
% individual structure:
% parameter: the parameter space point of the individ
www.eeworm.com/read/353509/10442926
m batch_algorithm1.m
%Training based channel estimation/equalization
% batch algorithm, MMSE equalizer
%
% Copyright: Xiaohua(Edward) Li, Assistant Professor
% Department of Electrical and Computer Enginee
www.eeworm.com/read/422590/10627369
description
Package: hdrcde
Type: Package
Title: Highest density regions and conditional density estimation
Version: 2.09
Date: 2008-11-20
Author: Rob J Hyndman and Jochen
www.eeworm.com/read/418695/10935423
m parzenml.m
%PARZENML Optimum smoothing parameter in Parzen density estimation.
%
% h = parzenml(A)
%
% Maximum likelihood estimation for the smoothing parameter in the
% Parzen denstity estimation of the dat
www.eeworm.com/read/416230/11037527
m program_10_1.m
% Program 10_1
% Estimation of FIR Filter Order Using remezord
%
fedge = input('Type in the bandedges = ');
mval = input('Desired magnitude values in each band = ');
dev = input('Allowable deviat