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newpnn
- 基于GMM的概率神经网络PNN具有良好的泛化能力，快速的学习能力，易于在线更新,并具有统计学的贝叶斯估计理论基础，已成为一种解决像说话人识别、文字识别、医疗图像识别、卫星云图识别等许多实际困难分类问题的很有效的工具。而且PNN不但具有GMM的大部分优点，还具有许多GMM没有的优点，如强鲁棒性，需要更少的训练语料，可以和其他网络其他理论无缝整合等。-GMM based probabilistic neural network PNN good generalization ability, the
MobileModels
- 无线通信的各种运动模型。适用于移动通信、无线传感器网络等领域。 包括：Random walk、random waypoint、random direction、boundless simulation area、 gauss-markov等运动模型 - probabilistic random walk
LDPCintroduction
- LDPC codes are one of the hottest topics in coding theory today. Originally invented in the early 1960 s, they have experienced an amazing comeback in the last few years. Unlike many other classes of codes LDPC codes are already equipped with ver
IMPPDA
- An Interacting Multipattern Probabilistic Data Association (IMP-PDA) Algorithm for Target Tracking
UWB
- 基于概率模型超宽带信号压缩检测算法.该理论指出了将模拟信号直接采样压缩为数字形式的有效途径，具有直接信息采样特性。-Detection algorithm based on the probabilistic model of ultra-wideband signal compression. The theory suggests that the direct sampling of the analog signal to compressed digital form effectiv
pearl
- 这是最稳定的BP译码方式，就数值精度来说的话。-Belief-propagation decoding algorithm: Probabilistic decoding The algorithm works directly with probabilities. In terms of numerical precision, it is the most stable BP decoder, although it is very intensive in terms of exp()
Code
- 基于概率神经网络的手写体数字识别，人工智能方面的应用-Handwritten numeral recognition based on probabilistic neural networks, artificial intelligence applications
MA
- OFDN系统助攻在不同信道下，不同环境下和采用概率类方法对应峰均比高低-OFDM system assists in the different channels, different environments and the use of probabilistic methods corresponding to the peak to average assessed by class