搜索资源列表
EMfor_neural_networks
- In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial Co
ldpcber
- This LDPC software is intended as an introduction to LDPC codes computer based simulation. The pseudo-random irregular low density parity check matrix is based on Radford M. Neal’s programs collection, which can be found in [1]. While Neal’s collecti
EM_GM
- ％ EM algorithm for k multidimensional Gaussian mixture estimation ％ ％ Inputs: ％ X(n,d) - input data, n=number of observations, d=dimension of variable ％ k - maximum number of Gaussian components allowed ％ ltol - percentage of the log likeli
LDPC_BSN
- This LDPC software is intended as an introduction to LDPC codes computer based simulation. The pseudo-random irregular low density parity check matrix is based on Radford M. Neal’s programs collection, which can be found in [1]. While Neal’s collecti
ldpcdecoder
- ldpc decode c程序 Iterative probabilistic decoding of linear block codes.Based on Pearl s Belief Propagation in Bayesian Networks.This version utilizes object to define graph nodes and LOG-LIKELIHOOD RATIOS. Much improved in terms of speed compared t
LLR_compute
- 由4个.m文件组成，用于16QAM和64QAM调制的软信息的提取-By 4. M files for 16QAM and 64QAM modulation of the soft information extraction
072282
- 提出了一种自动构造特定领域本体的方法，该方法应用术语抽取和多重聚类技术。在术语抽取阶段，通过术语在专业语料与背景语料中出现概率的对比，采用LLR公式对术语进行评分，取得了更好的抽取效果。在层级关系发现过程中，采用上下文共现信息结合HowNet中词语的语义相似度，进行术语间相似度度量，力求获得术语间最合理的相关状况。同时改进了k-medoids聚类算法，更准确地发现术语的层级关系，进而构造出特定领域的本体。-This paper presents an approach to mining dom
NonnegJune2009
- 当前论文主要考虑的是非信号依赖的高斯噪声下的图像恢复，本程序实现了泊松噪声下的图像恢复，泊松噪声为信号依赖噪声，能够更加有效逼近实际成像系统噪声。- This is the code that was used in the papers "A Nonnnegatively Constrained Convex Programming Method for Image Reconstruction", "Total Variation-Penalized Poisson Likelihood E
Soft_demapping_8PSK
- soft Demapping 8PSK : LLR computation using Euclidian distance approach, Parallel-to-Serial converter, needs I and Q componets of 8PSK symbols at the input
dist_LLR
- Log Likelihood Ratio (LLR) Objective Speech Quality Measure
ARMAKalman
- Several functions for evaluating the exact negative log-likelihood of ARMA models in O(n) time using the Kalman Filter
01576960Beaulieu
- 通过MATLAB软件；通过仿真得出性能曲线；从而比较bpsk的性能-The bit-error rate (BER) of binary phase-shift keying in Rayleigh fading, using the Alamouti transmission scheme and receiver selection diversity in the presence of channel-estimation error, is studied. Closed-
LLR_decoding
- 对数似然比测度下低密度奇偶检验码的译码算法，有很大的价值啊 -Log-likelihood ratio measure under the low-density parity check codes decoding algorithm, there is great value to ah
LR
- 对数似然比测度下低密度奇偶检验码的译码算法，有很大的价值啊 -Log-likelihood ratio measure under the low-density parity check codes decoding algorithm, there is great value to ah
p127
- Algorithms for QAM Signal Classification Using Maximum Likelihood Approach Based on the Joint Probability Densities of Phases and amplitudes
QPSK.LLR
- illustrates the improvement in BER performance when using log-likelihood instead of hard decision demodulation in a convolutionally coded communication link-illustrates the improvement in BER performance when using log-likelihood instead of hard d
MDL_segmenter
- em algorithm - Find approximate solution to Sf = conv(s,f) = d using EM iteration. EM seeks to minimize the Poisson negative log likelihood function J(f) = sum_i {[Sf]_i - (d_i + sigma^2)*log([Sf]_i + sigma^2)}. -em algorithm - Find approxim
lowSNRFreES
- 本文利用软输入软输出信道译码器输出对数似然比随相位偏差变化的规律得到低信噪比MPSK信号的 相位偏差代价函数，并提出一种求解该代价函数的迭代相位搜索方法，以相对较小的运算量实现较高精度的相 位估计。仿真表明，该算法在低信噪比下具有稳定的性能，并且能够克服大多相位估计算法都存在的相位模糊 问题。-In this paper, the soft input soft output channel decoder output log-likelihood ratio with the v
EMALGORITHM
- In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterati
Maximum-Likelihood-Estimation
- 用MATLAB编写代码,在经济和金融中法对连续时间过程实现了封闭的最大似然估计方法-The code, written in MATLAB, implements the closed-form maximum-likelihood estimation method for continuous-time processes in economics and finance. First, the code maximizes the log-likelihood function and d