搜索资源列表
MLEsim
- ML Estimation of frequency, phase, and amplitude of a sinusoid from discrete time samples MLEsim.m
PFM2s
- ML Estimation of 2 PFM signals using EM and AM
ML.rar
- 该算法是经典的信噪比估计算法——最大似然估计算法，利用接收信道的先验概率密度函数，ML法能够很好的估计信号的信噪比,The algorithm is a classic signal to noise ratio estimation algorithm- maximum likelihood estimation algorithm, using the a priori receiver channel probability density function, ML method can
DOA
- DOA估计得MATLAB代码，不敢独享，希望对大家有用-DOA estimation in MATLAB code, and not exclusive and hope for all of us
lesson8
- 信道均衡 目的和原理 MLSE、 DFE、 ZF/LMMSE均衡 干扰抵消 原理 导频干扰抵消和多码道干扰抵消 HSDPA简介 主要信道 接收机结构 -Channel equalization purposes and principles of MLSE, DFE, ZF/LMMSE equalizer pilot interference cancellation principle of interference cancellation and mul
STBCxindaoguji
- STBC_ofdm的最大似然信道估计算法实现（ML）-STBC_ofdm maximum likelihood channel estimation algorithm (ML)
2i2oand2i1o
- 2发1收 与 2发1收的比较 实验次数 2000次，采用LS进行信道估计，ML进行译码，导频符号长度为10 -2 receive and 2 send a send a receive 2,000 times the number of comparative experiments, using LS channel estimation, ML decoding, pilot symbol length of 10
carrier
- ML estimation of time and frequency offset in OFDM systems
DOA28April
- This a set of programs for DOA estimation using ML and MUSIC Algorithms
DOASimu
- 空间谱估计 Estimation of Signals 现代信号处理方法用于DOA估计-Music DOA Esprit DOA capon ML
LLF
- ML estimation of frequency synchronization
ML
- 基于最大似然估计的独立分量分析算法，包括随机梯度算法，相对梯度算法，快速不动点算法3个程序-Based on maximum likelihood estimation of independent component analysis algorithms, including stochastic gradient algorithm, the relative gradient algorithm, fast fixed-point algorithm for three programs
ML_algorithm
- MIMO系统中进行信道估计的原始代码，Matlab格式。-code with matlab format for channel estimation in MIMO system
45666027ML
- ofdm的一种信道估计准则：最大似然信道估计准则-ofdm channel estimation as a criterion: maximum-likelihood channel estimation criteria
ml
- 该算法包含极大似然估计的梯度算法和快速ica算法，已经调试成功过，调试时注意所给信号x是行向量还是列向量-The algorithm contains the maximum likelihood estimation of the gradient method and fast ica algorithm, has been debugged, debugging attention given signal x is a row vector or column vector
10[1].1.1.66.2227
- In this paper, we present a novel data-based method for simultaneous Maximum Likelihood (ML) symbol and carrier-frequency o畇et estimation in Orthogonal frequencydivision multiplexing (OFDM) systems. Statistical properties introduced by the cyclic
fit_ML_log_normal
- fit_ML_normal - Maximum Likelihood fit of the laplace distribution of i.i.d. samples!. Given the samples of a laplace distribution, the PDF parameter is found fits data to the probability of the form: p(x) = 1/(2*b)*exp(-abs(x-u)/b)
fit_ML_normal
- fit_ML_normal - Maximum Likelihood fit of the normal distribution of i.i.d. samples!. Given the samples of a normal distribution, the PDF parameter is found fits data to the probability of the form: p(r) = sqrt(1/2/pi/sig^2)*exp(-((r-u
ml
- OFDM时频ML信道估计算法-OFDM time-frequency channel estimation algorithm for ML
ML
- 基于循环前缀ML估计的同步分析及FPGA实现.rar-Simultaneous analysis of ML estimation based on cyclic prefix and FPGA. Rar