1) parametric filtering method
参数化滤波
1.
Combined with the spectral analysis results, the parametric filtering method was used to prepare 29 sound samples to find the critical frequency which affected the human ear’s subjective sensation seriously.
以响度作为声品质评价指标,提出了改善车内声品质应着重考虑的频率范围,同时结合噪声频谱分析,采用参数化滤波方法对主要峰值频率进行处理,找出对人耳主观感觉影响较大的频率或频段。
3) parametric filtering
参数滤波
1.
The parametric filtering(PF) method is motivated by the fact that the correlated structure of a stationary signal can be characterized by the signature of certain output statistics from a judiciously designed filter bank.
参数滤波的基本思想是以一个变化的参数对信号进行滤波 ,得到信号在不同频带中的分量。
2.
The main idea of the algorithm is to filter the speech signal in wavelet domain before using the traditional parametric filtering method, which can abstract the effective speech signals that are important to human ear.
基于小波变换的鲁棒性因素分段算法的基本思想是在运用传统的参数滤波方法进行音素分段之前首先将语音信号在小波域中进行滤波,提出对听觉感知有效的语音分量,然后用传统的参数滤波方法进行分段。
4) filtering parameter
滤波参数
1.
Through the float-encoded genetic algorithm offline on optimization of these filtering parameters,the best filtering parameters could be found.
根据卡尔曼滤波器池思想,设计一组有不同初始滤波参数组成的具有并行关系的卡尔曼滤波器。
5) formulated finite wavelet filters
参数化小波滤波器
6) filter parameter
滤波器参数
1.
By utilizing the Monte Carlo simulation for a discrete nonlinear stochastic system,the influence of the filter parameters on the performance of the joint estimator is analyzed and the updating rule of filter parameters is obtained.
通过一个离散非线性随机系统的蒙特-卡洛仿真,总结滤波器参数对联合估计器性能的影响及参数选择规律。
补充资料:参数
分子式:
CAS号:
性质:对指定应用而言,它可以是赋予的常数值;在泛指时,它可以是一种变量,用来控制随其变化而变化的其他的量。
CAS号:
性质:对指定应用而言,它可以是赋予的常数值;在泛指时,它可以是一种变量,用来控制随其变化而变化的其他的量。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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