代码搜索：ESTIMATION
找到约 3,786 项符合「ESTIMATION」的源代码
代码结果 3,786
www.eeworm.com/read/318840/13471260
m obsup.m
function [x,P] = obsup[x,P,z,H,R]
%
% function [x,P] = obsup[x,P,z,H,R]
%
% Performs Kalman filter observational update of state vector, x
% and the associated covriance matrix of estimation unce
www.eeworm.com/read/314385/13568718
m obsup.m
function [x,P] = obsup[x,P,z,H,R]
%
% function [x,P] = obsup[x,P,z,H,R]
%
% Performs Kalman filter observational update of state vector, x
% and the associated covriance matrix of estimation unce
www.eeworm.com/read/302650/13829499
m detect.m
function varargout = detect(sig_down,dlt,slt,ch_coefs,varargin)
%DETECT Multidimensional data detector.
% D_E = DETECT(S,DLT,SLT,ALPHA) performs the maximum likelihood
% sequence estimation (MLSE
www.eeworm.com/read/493843/6391470
m welch.m
function Px = welch(x,L,over,win)
%WELCH Spectrum estimation using Welch's method.
%----
%USAGE Px = welch(x,L,over,win)
%
% The spectrum of a process x is estimated using Welch's method
% of av
www.eeworm.com/read/492414/6422478
m rx_frequency_sync.m
%Frequency error estimation and correction
function [out_signal, freq_est] = rx_frequency_sync(rxsignal, thres_idx, sys_parm)
global ofdm_data_parm_const;
%Estimate the frequency er
www.eeworm.com/read/478401/6716201
m obsup.m
function [x,P] = obsup[x,P,z,H,R]
%
% function [x,P] = obsup[x,P,z,H,R]
%
% Performs Kalman filter observational update of state vector, x
% and the associated covriance matrix of estimation unce
www.eeworm.com/read/402876/11526755
m curvature_parabolic.m
% Curvature estimation based on a Parabolic Model
%
% SYNOPSIS:
% [orientation_im, curvature_im, confidence_im] = curvature_parabolic(input_im, sigma_g, sigma_a)
%
% PARAMETERS:
% sigma_g: size of
www.eeworm.com/read/259941/11756507
txt readme.txt
Welcome to power spectrum estimation via the thresholded cepstrum. This
software consists of the following files.
CanadianLynxPop.txt
CepSpec.m
Demo.m
USDYenExchange.txt
Readme.txt
CepSpec.m is the
www.eeworm.com/read/259400/11795541
m detect.m
function varargout = detect(sig_down,dlt,slt,ch_coefs,varargin)
%DETECT Multidimensional data detector.
% D_E = DETECT(S,DLT,SLT,ALPHA) performs the maximum likelihood
% sequence estimation (MLSE