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/374148/9419981
kdh state estimation.kdh
www.eeworm.com/read/363755/9937761
m channel_estimation.m
function [H tx_data] =channel_estimation(Data,pilot_Data,Lh,ant_num,pilot_position,sub_num)
%Data ofdm data
%pilot_data pilot data
%N sub_num
%Lh time domain response length
%ant_num antenna nu
www.eeworm.com/read/363755/9937784
asv channel_estimation.asv
function [H tx_data] =channel_estimation(Data,pilot_Data,Lh,ant_num,pilot_position,sub_num)
%Data ofdm data
%pilot_data pilot data
%N sub_num
%Lh time domain response length
%ant_num antenna nu
www.eeworm.com/read/423100/10587650
m phase_estimation.m
function phihat = phase_estimation(r, b_train)
L = length(b_train);
temp = b_train .* conj(r(1:L));
phihat = 1 / L * sum(angle(temp));
www.eeworm.com/read/416633/11018910
txt doa-estimation.txt
%MUSIC-ALGORITHM
%DOA Estimation by ULA
clear all;
close all;
clc
N_x=1024; % Length of Signal
N=8; % Size of Rx Matrix
A=[4 3 3];
l=1.8;%波长
d=0.5*l;%阵元间距
M=3; % Number of Signals
w=[pi
www.eeworm.com/read/453797/7412240
m dct_estimation.m
function [ output,LLL ] = DCT_estimation( input,pilot_inter,pilot_sequence,pilot_num )
%TRANSFORM_DOMAIN_ESTIMATION Summary of this function goes here
% Detailed explanation goes here
[N,NL]=size(in
www.eeworm.com/read/453797/7412245
m ls_estimation.m
function output=ls_estimation(input,pilot_inter,pilot_sequence,pilot_num);
[N,NL]=size(input);
output=zeros(N,NL-pilot_num);
i=1;
count=0;
while i
www.eeworm.com/read/453797/7412276
m dft_estimation.m
function [ output,LL ] = DFT_estimation( input,pilot_inter,pilot_sequence,pilot_num )
%TRANSFORM_DOMAIN_ESTIMATION Summary of this function goes here
% Detailed explanation goes here
[N,NL]=size(inp
www.eeworm.com/read/453797/7412282
m lmmse_estimation.m
function output=lmmse_estimation(input,pilot_inter,pilot_sequence,pilot_num,trms,t_max,snr);
%trms为多经信道的平均延时，t_max为最大延时,此处所有的时间都是已经对采样间隔做了归一化后的结果
beta=17/9;
[N,NL]=size(input);
Rhh=zeros(N,N);
fo
www.eeworm.com/read/436817/7762235
m beta_estimation.m
%Implements Maximum likelihood estimation of beta and other parameters
%for model of stock portfolio vs. index as described in page 5 of paper
%Estimating Value at Risk with the Kalman Filter
%http