ras method

基本解释

At last, we propose a new speech recognition method which combines RAS-MFCCs and MMSE speech enhancement technology.
本文提出了将RAS-MFCC特征和最小均方误差估计（MMSE）语音增强方法相结合的抗噪声语音识别方法。
Using the concepts of minimum cross-entropy and related results, this paper gave a direct structural form of RAS method for the input-output prediction model with fixed marginals.
本文利用最小交互熵的概念和有关结论，直接地给出具有固定边际的投入─产出表预测模型的RAS方法的结构形式；
According to actual economic meaning, RAS method and the positive characteristic vector method, this paper gives a technique to adjust direct consumption coefficient matrix in inverse way.
利用RAS法和正特征矢量法，根据实际经济意义，从理论上给出逆向调整直接消耗系数矩阵的一种方法，可以节省大量的人力物力，并能对宏观经济各部门的发展加以分析。