ESTIMATION
共 222 篇文章
ESTIMATION 相关的电子技术资料，包括技术文档、应用笔记、电路设计、代码示例等，共 222 篇文章，持续更新中。
ML Estimation of 2 PFM signals using EM and AM
ML Estimation of 2 PFM signals using EM and AM
Adaptive Filter. This script shows the BER performance of several types of equalizers in a static ch
Adaptive Filter. This script shows the BER performance of several types of equalizers in a static channel with a null in the passband. The script constructs and implements a linear equalizer object an
(Channel Estimation in OFDM Systems)正交分頻多工系統中的各種通道估測技術
(Channel Estimation in OFDM Systems)正交分頻多工系統中的各種通道估測技術
Analysis and Hardware Design of Intermediate View Generation Using Adaptive Disparity Estimation Bas
Analysis and Hardware Design of Intermediate View Generation Using Adaptive Disparity Estimation Based on Spatial and Temporal Correlation
Rao-Blackwellised Particle Filters (RBPFs) are a class of Particle Filters (PFs) that exploit condi
Rao-Blackwellised Particle Filters (RBPFs) are a class of Particle
Filters (PFs) that exploit conditional dependencies between
parts of the state to estimate. By doing so, RBPFs can
improve the est
Aiming at the application of passive trackinn based on sensor array, a new passive trackinn usinn se
Aiming at the application of passive trackinn based on sensor array, a new passive trackinn usinn sensor array
based on particle filter was proposed. Firstly, the“fake points" could be almost entirel
This paper investigates the design of joint frequency offset and carrier phase estimation of a mult
This paper investigates the design of joint frequency
offset and carrier phase estimation of a multi-frequency time division
multiple access (MF-TDMA) demodulator that is applied to
a digital video
In recent years large scientific interest has been devoted to joint data decoding and parameter est
In recent years large scientific interest has been
devoted to joint data decoding and parameter estimation
techniques. In this paper, iterative turbo decoding joint
to channel frequency and phase e
The subroutines glkern.f and lokern.f use an efficient and fast algorithm for automatically adapti
The subroutines glkern.f and lokern.f use an efficient and fast algorithm for
automatically adaptive nonparametric regression estimation with a kernel method.
Roughly speaking, the method performs
Software Estimation: Demystifying the Black Art 软件评估
Software Estimation: Demystifying the Black Art
软件评估
The computer program for the maximum entropy estimation of a wave distribution function
The computer program for the maximum entropy estimation of a wave distribution function
On the Convergence of a Class of Estimation of Distribution Algorithms
On the Convergence of a Class of Estimation of
Distribution Algorithms
This file is about OFDM Channel Estimation Based on Comb Pilot.
This file is about OFDM Channel Estimation Based on Comb Pilot.
Efficient skew estimation and correction algorithm for document images。一篇英文文献
Efficient skew estimation and correction algorithm for document images。一篇英文文献，内容新进。
A new blind adaptive multiuser detection scheme based on a hybrid of Kalman filter and subspace est
A new blind adaptive multiuser detection scheme based on a hybrid of Kalman filter and
subspace estimation is proposed. It is shown that the detector can be expressed as an anchored
signal in the si
DOA estimation methods
DOA estimation methods
ReBEL is a Matlabtoolkit of functions and scripts, designed to facilitate sequential Bayesian infer
ReBEL is a Matlabtoolkit of functions and scripts, designed to
facilitate sequential Bayesian inference (estimation) in general state
space models. This software consolidates research on new methods
Classify using the minimum error criterion via histogram estimation of the densities
Classify using the minimum error criterion via histogram estimation of the densities
UMDA. a kind of estimation of distribution algorithm , which is the improvement of genetic algorithm
UMDA. a kind of estimation of distribution algorithm , which is the improvement of genetic algorithm
machine learning, accuracy estimation, cross-validation, bootstrap, ID3, decision trees, decision
machine learning, accuracy estimation, cross-validation,
bootstrap, ID3, decision trees, decision graphs, naive-bayes,
decision tables, majority, induction algorithms, classifiers,
categorizers,