2) numerical filtering
数值滤波
1.
Based on MBE(multi-band excitation) model,the paper discusses two methods to improve the accuracy of pitch estimation: numerical filtering and dynamic pitch smoothing.
讨论了多带激励(multi-band excitation,MBE)语音编码模型中,对自相关基音周期估计的2种改善方法:数值滤波和动态基音平滑技术,由此可以得到更精确的基音轮廓。
2.
1?℃ is able to be maintained in the region of 0～140?℃ b y scaling and numerical filtering.
同时,采用牛顿迭代法进行非线性校正,并通过数值滤波处理,在0～140℃温度范围内的测量误差为±0。
3) digital filter
数值滤波
1.
Before the pitch detection,the voiced is pretreated by band-pass filter,center clipping and digital filter to reduce the effects of formant and high-frequency noises;after the pitch detection,searching smoothing method is exploited to overcoming the multiple or half frequency errors and random errors.
在基音检测前用带通滤波、中心削波和数值滤波等方法进行预处理,去除共振峰和高频噪声的影响;在基音检测过程的后端用搜索平滑方法进行后处理,平滑掉半、倍频点和随机错误点。
4) numerical filter
数值滤波
1.
A Modified Approach of Pitch Detection Based on Bloomfield Model was proposed in this paper,and it introduced numerical filter to overcome the inherent flaws of the BF model.
该文提出一种改进的在基于Bloomfield模型语音检测算法,该方法引入数值滤波器克服了BF模型固有的缺陷。
5) statistical filtering
统计滤波
6) order statistics filter
序统计滤波
1.
According to the special demands in processing depth data,the models based on order statistics filter were presented here to detect outliers in depths along a sounding line.
根据海洋水深数据处理的要求,构建了海洋水深数据的序统计滤波模型,并根据水深异常数据的特点,提出了离差法判定水深异常数据,在遵循“舍深取浅”这一基本海洋数据处理原则基础上,设计了海洋水深异常数据检测的序统计滤波方案。
补充资料：分布和特征量统计(见统计分析)
分布和特征量统计(见统计分析)
fenbu he tezhengliang tongjj分布和特征量统计见统计分析。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条