通过对浪漫主义时期法国印象派作曲家拉威尔·莫里斯(Ravel·M aurice)以及20世纪澳裔华人作曲家于京君对穆索尔斯基(Mussorgsky,Modest Petrovich)的钢琴曲《图画展览会》(《Pictures at an exhibition》)不同配器版本的比较,...通过对浪漫主义时期法国印象派作曲家拉威尔·莫里斯(Ravel·M aurice)以及20世纪澳裔华人作曲家于京君对穆索尔斯基(Mussorgsky,Modest Petrovich)的钢琴曲《图画展览会》(《Pictures at an exhibition》)不同配器版本的比较,体现出作曲家在不同国籍、时期以及不同文化背景下,对同一钢琴作品经配器与改编后产生出的音响差异及其风格特征,更深一步反映出浪漫主义中后期与现当代音乐在配器自由度、作曲与配器技法等方面的区别,以及现当代配器作品对传统配器理念的继承与发扬。展开更多
The reconstruction of background noise from an error signal of an adaptive filter is a key issue for developing Variable Step-Size Normalized Least Mean Square (VSS-NLMS) algorithm in the context of Echo Cancellation ...The reconstruction of background noise from an error signal of an adaptive filter is a key issue for developing Variable Step-Size Normalized Least Mean Square (VSS-NLMS) algorithm in the context of Echo Cancellation (EC). The core parameter in this algorithm is the Background Noise Power (BNP); in the estimation of BNP, the power difference between the desired signal and the filter output, statistically equaling to the error signal power, has been widely used in a rough manner. In this study, a precise BNP estimate is implemented by multiplying the rough estimate with a corrective factor, taking into consideration the fact that the error signal consists of background noise and misalignment noise. This corrective factor is obtained by subtracting half of the latest VSS value from 1 after analyzing the ratio of BNP to the misalignment noise. Based on the precise BNP estimate, the PVSS-NLMS algorithm suitable for the EC system is eventually proposed. In practice, the proposed algorithm exhibits a significant advantage of easier controllability application, as prior knowledge of the EC environment can be neglected. The simulation results support the preciseness of the BNP estimation and the effectiveness of the proposed algorithm.展开更多
文摘通过对浪漫主义时期法国印象派作曲家拉威尔·莫里斯(Ravel·M aurice)以及20世纪澳裔华人作曲家于京君对穆索尔斯基(Mussorgsky,Modest Petrovich)的钢琴曲《图画展览会》(《Pictures at an exhibition》)不同配器版本的比较,体现出作曲家在不同国籍、时期以及不同文化背景下,对同一钢琴作品经配器与改编后产生出的音响差异及其风格特征,更深一步反映出浪漫主义中后期与现当代音乐在配器自由度、作曲与配器技法等方面的区别,以及现当代配器作品对传统配器理念的继承与发扬。
文摘The reconstruction of background noise from an error signal of an adaptive filter is a key issue for developing Variable Step-Size Normalized Least Mean Square (VSS-NLMS) algorithm in the context of Echo Cancellation (EC). The core parameter in this algorithm is the Background Noise Power (BNP); in the estimation of BNP, the power difference between the desired signal and the filter output, statistically equaling to the error signal power, has been widely used in a rough manner. In this study, a precise BNP estimate is implemented by multiplying the rough estimate with a corrective factor, taking into consideration the fact that the error signal consists of background noise and misalignment noise. This corrective factor is obtained by subtracting half of the latest VSS value from 1 after analyzing the ratio of BNP to the misalignment noise. Based on the precise BNP estimate, the PVSS-NLMS algorithm suitable for the EC system is eventually proposed. In practice, the proposed algorithm exhibits a significant advantage of easier controllability application, as prior knowledge of the EC environment can be neglected. The simulation results support the preciseness of the BNP estimation and the effectiveness of the proposed algorithm.
