A novel ion-imprinted polymer, lead ion-imprinted micro-beads with combination of two functional monomers, was synthesized using the W/O/W polymerization method. Two functional monomers, 1,12-dodecanediol-O,O’-diphen...A novel ion-imprinted polymer, lead ion-imprinted micro-beads with combination of two functional monomers, was synthesized using the W/O/W polymerization method. Two functional monomers, 1,12-dodecanediol-O,O’-diphenyl-phosphonic acid （DDDPA） and 4-vinylpyridine, were used to form a suitable construction with micro-pores fitting the template and recognition sites. The eflects of adsorbent dosage, solution pH and the competitive ions on the adsorption and separation eflciency of lead ions were investigated. The lead ion-imprinted micro-beads were eflcient for lead ions removal from aqueous solution in a broad pH range （4–9）, when the adsorbent dosage was above 0.1 g/L. The adsorption process obeyed the pseudo second-order kinetics model and it only took half an hour to reach the equilibrium. The adsorption isotherm of lead ion was described by the Langmuir model （R2 0.99） with a maximum adsorption capacity of 116.9 mg/g. In the presence of competitive ions Co2＋ and Cd2＋, the lead ion-imprinted micro-beads showed a high selectivity for lead ions. The selectivity coeficient of Pb2＋/Cd2＋ and Pb2＋/Co2＋are 99.3 and 114.7, respectively.展开更多
In this paper,we summarize recent progresses made in deep learning based acoustic models and the motivation and insights behind the surveyed techniques.We first discuss models such as recurrent neural networks(RNNs) a...In this paper,we summarize recent progresses made in deep learning based acoustic models and the motivation and insights behind the surveyed techniques.We first discuss models such as recurrent neural networks(RNNs) and convolutional neural networks(CNNs) that can effectively exploit variablelength contextual information,and their various combination with other models.We then describe models that are optimized end-to-end and emphasize on feature representations learned jointly with the rest of the system,the connectionist temporal classification(CTC) criterion,and the attention-based sequenceto-sequence translation model.We further illustrate robustness issues in speech recognition systems,and discuss acoustic model adaptation,speech enhancement and separation,and robust training strategies.We also cover modeling techniques that lead to more efficient decoding and discuss possible future directions in acoustic model research.展开更多
提出一种基于盲信号分离的方法对MIMO信号进行调制识别.该方法对接收信号的相关矩阵作奇异值分解,用于估算发射天线数目,并对信号进行白化.采用特征值矩阵的联合近似对角化(joint approximate diagonalisation of eigen-matrices,JADE)...提出一种基于盲信号分离的方法对MIMO信号进行调制识别.该方法对接收信号的相关矩阵作奇异值分解,用于估算发射天线数目,并对信号进行白化.采用特征值矩阵的联合近似对角化(joint approximate diagonalisation of eigen-matrices,JADE)算法对接收信号进行分离,恢复发送端信号.通过分析信号的频谱特征,提出4个新的特征参数,并结合四阶累积量实现对MIMO体制下6种信号调制方式的识别.识别过程中无需估计载波频率和符号率等参数,具有较强的实用性.仿真结果表明文中提出的方法具有良好的性能.展开更多
基金supported by the National Natural Science Foundation of China (No. 41072173)the National Science & Technology Pillar Program in the Eleventh Five-year Plan Period of China (No. 2006BAJ04A07)
文摘A novel ion-imprinted polymer, lead ion-imprinted micro-beads with combination of two functional monomers, was synthesized using the W/O/W polymerization method. Two functional monomers, 1,12-dodecanediol-O,O’-diphenyl-phosphonic acid （DDDPA） and 4-vinylpyridine, were used to form a suitable construction with micro-pores fitting the template and recognition sites. The eflects of adsorbent dosage, solution pH and the competitive ions on the adsorption and separation eflciency of lead ions were investigated. The lead ion-imprinted micro-beads were eflcient for lead ions removal from aqueous solution in a broad pH range （4–9）, when the adsorbent dosage was above 0.1 g/L. The adsorption process obeyed the pseudo second-order kinetics model and it only took half an hour to reach the equilibrium. The adsorption isotherm of lead ion was described by the Langmuir model （R2 0.99） with a maximum adsorption capacity of 116.9 mg/g. In the presence of competitive ions Co2＋ and Cd2＋, the lead ion-imprinted micro-beads showed a high selectivity for lead ions. The selectivity coeficient of Pb2＋/Cd2＋ and Pb2＋/Co2＋are 99.3 and 114.7, respectively.
文摘In this paper,we summarize recent progresses made in deep learning based acoustic models and the motivation and insights behind the surveyed techniques.We first discuss models such as recurrent neural networks(RNNs) and convolutional neural networks(CNNs) that can effectively exploit variablelength contextual information,and their various combination with other models.We then describe models that are optimized end-to-end and emphasize on feature representations learned jointly with the rest of the system,the connectionist temporal classification(CTC) criterion,and the attention-based sequenceto-sequence translation model.We further illustrate robustness issues in speech recognition systems,and discuss acoustic model adaptation,speech enhancement and separation,and robust training strategies.We also cover modeling techniques that lead to more efficient decoding and discuss possible future directions in acoustic model research.
基金supported by Fujian Science&Technology Innovation Laboratory for Optoelectronic Information of China(2021ZZ130)the Natural Science Foundation of Fujian Province,China(2021J01577)。
文摘提出一种基于盲信号分离的方法对MIMO信号进行调制识别.该方法对接收信号的相关矩阵作奇异值分解,用于估算发射天线数目,并对信号进行白化.采用特征值矩阵的联合近似对角化(joint approximate diagonalisation of eigen-matrices,JADE)算法对接收信号进行分离,恢复发送端信号.通过分析信号的频谱特征,提出4个新的特征参数,并结合四阶累积量实现对MIMO体制下6种信号调制方式的识别.识别过程中无需估计载波频率和符号率等参数,具有较强的实用性.仿真结果表明文中提出的方法具有良好的性能.
