搜索资源列表
C99
- n algorithm for domain independent linear text segmentation This the Windows version of the C99 algorithm that was presented in my NAACL00 paper. [Directories] bin contains executables, JAR file and test files classes compiled code as
QAM_mat_vec
- 本程序是QAM的调制程序，以及我在编程时测试用的例子，还有空时分组码中的线性分散码进行处理时所需要的向量化函数VEC还有它的逆函数，希望对大家有帮助-This procedure is the QAM modulation procedures, as well as when I test in the programming examples, as well as space-time block codes in a linear dispersion code when needed
Hidden-Markov
- 基于隐马尔可夫模型的语音单字识别研究：本文针对线性模型在语音识别中的不足, 进行了隐马尔可夫模型(HMM)在 语音单字识别中的研究,主要对观察输出概率求解、 最佳状态序列寻找、 参数估计和 模型参数的选择进行了探讨.-Based on hidden Markov model speech word recognition: the lack of the linear model in speech recognition, hidden Markov model (HMM) speec
SeDuMi1.1R3
- 用于做最优化处理，可以做线性和非线性的最优化处理-Used to make the optimization process can be done in linear and nonlinear optimization process
FEM
- Solving several BVP s (1D example, 2D wave equation, 2D heat equation, 3D cantilever beam deflection (linear & quadratic elements) with use of very basic FEM techniques.
Improved_SMCPHD
- 该算法基本思想是利用一组带有相应权值的随机样本即粒子去逼近PHD分布和基数分布，其意义在于不仅解决重积分计算没有闭式解的难题，而且在滤波过程中，PHD函数被一系列离散的带权值的样本近似，随着样本粒子数量的增加，PHDF接近于Bayes最优估计，而且不受模型线性和高斯假设的限制，可以适用于非线性非高斯的随机系统。-The algorithm the basic idea is to use a set of random sample with the corresponding weight n