搜索资源列表
Efficient-LSP-quantization-algorithm
- 为在极低速率下实现高质量的语音编码,提出了一 种新的有效的线谱对( LSP)参数量化算法——P-RS- MSM Q 算法。此算法以多帧联合矩阵量化作为基本框架,引入了基 于超级帧模式的均值去除和帧间预测策略、 矩阵分裂和子矩 阵多级量化策略 同时提出了基于语音帧短时谱能量的帧 内加权和基于超级帧中各子帧重要性的帧间加权策略等。-Very low rates in high-quality speech coding, a new and effective LSP (LSP)
YJYU_ICCIT2008_GMM
- 本文提供了利用高斯混合模型进行短时交通预测的算法描述,同时对于该算法的性能进行了评价。-This article provides a Gaussian mixture model for short-term traffic forecast algorithm descr iption, were evaluated for the performance of the algorithm.
ARIMA-Engineering-Article
- 本文给出了如何利用ARIMA算法实现短时交通预测的过程,同时将该算法的性能进行了评价。-This paper presents the process of how to use the ARIMA algorithm to achieve short-term traffic forecasts at the same time to evaluate the performance of the algorithm.
105_Paper
- 本文章首先对于不同的交通状况进行分类,然后针对不同的分类,分别用不同的算法实现短时交通预测,实验结果以及算法评价同时给出。-This article first classification for different traffic conditions and for different categories, with different algorithms to achieve short-term traffic forecast, the experimental results