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N_sensors-12-13212-v2
- This paper presents an adaptive information fusion method to improve the accuracy and reliability of the altitude measurement information for small unmanned aerial rotorcraft during the landing process. Focusing on the low measurement performance
A-Bayesian-Adaptive-Basis-Algorithm-for-Single-Pa
- Traditional single particle reconstruction methods use either the Fourier or the delta function basis to represent the particle density map. We propose a more flexible algorithm that adaptively chooses the basis based on the data. Because the basis a
deblurring_demo-1.0
- Bayesian Deblurring with Integrated Noise Estimation-Bayesian Deblurring with Integrated Noise Estimation Conventional non-blind image deblurring algorithms involve natural image priors and maximum a-posteriori (MAP) estimation. As a consequenc
A-nonparametric-variable-step-size-NLMS-algorithm
- A nonparametric adaptive filtering approach is proposed in this paper. The algorithm is obtained by exploiting a time-varying step size in the traditional NLMS weight update equation. The step size is adjusted according to the square of a time-av
pso-constraints-multi
- 多目标粒子群算法，最优的解决方案，使用一个外部文件管理，拥塞机制筛选，灰色设计验过滤。-Multi-objective particle swarm algorithm, the optimal solution using an external file management, congestion mechanism screening, gray design posteriori filtering.
ppt
- After identifying the best MNT− 1 nodes with the simplified branch metric and the accumulated branch metric at stage NT − 1, we then calculate the LLR of each coded bit utilizing the standard squared Euclidian distance metric. The log-lik
dispatch
- Finally, probability analysis, based on the chosen database, is performed and judgment whether the person is recognized is pronounced. Two different modeling techniques can be suggested for purposes of person identification or verification. The
matlab-MRF-toy-examples
- 一种基于马尔科夫随机场的图像分割matlab源码，包含ICM迭代条件模式求解最大后验概率算法，已通过测试。-Markov random field based image segmentation matlab source code, including the ICM iteration conditions for solving the maximum a posteriori probability model algorithm has been tested.
max-posterior-least-square
- 计算基于最大后验的正则最小二乘，基于该程序可选择正则最小二乘的正则系数及基函数-Calculated based on the maximum a posteriori the regularized least squares
xinhaoguji
- 对信号进行检测和估计，对信号进行 最大后验估计和最大似然估计-The signal detection and estimation, the signal Maximum a posteriori estimation and maximum likelihood estimation
matlab-femcode
- The code accompanying Understanding and Implementing the Finite Element Method by Mark S. Gockenbach (SIAM, 2006)-is contained in four directories: 1. version1: linear Lagrange triangles 2. version2: Lagrange triangles of arbitrary d
PCA_classifier_version1b
- The BCJR algorithm is an algorithm for maximum a posteriori decoding of error correcting codes defined on trellises (principally convolutional codes). The algorithm is named after its inventors: Bahl, Cocke, Jelinek and Raviv.[1] This algorithm is cr
MAP
- 最大后验概率，MAP，基于数据统计于估计，数据-The maximum a posteriori probability, MAP, based on statistics on estimated data
MAP
- Turbo码的最大后验概率译码，输出误码率与信噪比关系-Maximum a posteriori probability decoding of Turbo code output bit error rate and signal to noise ratio
map_decode
- 最大后验概率译码算法研究，算法原理及拓展算法-Maximum a posteriori probability decoding algorithm research, the algorithm principle and algorithm
MAP_forTurboCodes
- The MAP algorithm also known as BCJR algorithm is an algorithm for maximum a posteriori decoding of error correcting codes defined on trellises (principally convolutional codes). The algorithm is named after its inventors: Bahl, Cocke, Jelinek and Ra
Untitled
- 计算两类样本的最大后验概率，得到两类样本的相似性得分。-Maximum a posteriori probability calculation
Bayes
- 对于Iris数据集的Bayes分类器，采用最大后验概率进行判断。-Iris Bayes classifier for data sets, using maximum a posteriori estimation judgment.
adaptive_lat_filter
- 格型自适应性滤波器的比较(Normallized lattice,array lattice,A posteriori lattice,A priori lattice)-Compare lattice adaptive filter (Normallized lattice, array lattice, A posteriori lattice, A priori lattice)
carrier-synxronization-OQPSK
- This article contains analyses of the performance of various carrier synchronization loops for offset quadrature phase-shift-keying (OQPSK) modulation, all motivated in one form or another by the maximum a posteriori (MAP) estimation of carrier