SDA(Seria l D istribu ted A rithm etic,SDA)数字滤波器具有速度快、结构规整等优点,广泛应用于数字信号处理器芯片级电路实现中.SDA在采样数据值位跳变频率比较高时,会导致很大的移位寄存器功耗,降低了SDA的性能、功耗比.研究SDA数...SDA(Seria l D istribu ted A rithm etic,SDA)数字滤波器具有速度快、结构规整等优点,广泛应用于数字信号处理器芯片级电路实现中.SDA在采样数据值位跳变频率比较高时,会导致很大的移位寄存器功耗,降低了SDA的性能、功耗比.研究SDA数字滤波器的低功耗设计,主要途径是通过一种优化阶符的二进制数据表示方式来表示采样数据,以达到减小采样数据值位跳变频率的目的,从而实现减小SDA数字滤波器的功耗.实验结果表明,本文研究的低功耗设计方法可有效减小SDA数字滤波器10%的功耗.展开更多
The simplified D＆L method with special properties required by ideal decomposition method was used to decompose the impact of carbon emission intensity,input-output technology,the final demand structure and the final ...The simplified D＆L method with special properties required by ideal decomposition method was used to decompose the impact of carbon emission intensity,input-output technology,the final demand structure and the final demand level on changes in industrial carbon emissions in China during 1997-2012. The results showed that the final demand level which was the most important factor leading to the growth of carbon emissions performed a steadily and significantly positive and sustained effect. The carbon emissions intensity which was the only factor that led to the reduction in carbon emissions showed a negative effect. The input-output technology showed a positive effect. The final demand structure underwent a transition from a negative effect to a weak positive effect and finally to a positive effect. In order to achieve the goal of total carbon emission control,China should take some measures such as reducing direct carbon emission coefficient to strengthen the negative impact of carbon emission intensity. Meanwhile,China should implement some structural adjustment measures such as optimizing the final demand structure and reducing the proportion of industries with a great increase of influence coefficient to change the input-output technology and the final demand structure from the positive effect to the negative effect.展开更多
The first task in ensuring a reduction in CO2 emissions is to quantitatively measure the factors and their effect size on increasing CO2 emissions due to fossil fuel consumption. An extension of the buying and import-...The first task in ensuring a reduction in CO2 emissions is to quantitatively measure the factors and their effect size on increasing CO2 emissions due to fossil fuel consumption. An extension of the buying and import-noncompetition economy-energy-CO2 emission input-output model was designed to analyze CO2 emission increases for Beijing from 1997-2007. The increase in CO2 emissions because of energy consumption was broken down into nine kinds of effects including the change in energy consumption intensity and structure, and economic scale expansion. We found that the effect of economic scale expansion such as consumption investment, export and selling were the main factors increasing CO2 emissions. The effect of the change in energy consumption intensity was the dominant factor reducing CO2 emissions. CO2 emissions increased rapidly from 2002. The ifrst increase in carbon emissions was related to the service industry, adjustment in industrial structure and the priority given to tertiary industries. High energy consumption manufacturing was the industrial branch driving CO2 emissions; the main industry driving CO2 emission reductions was the energy industry. The new round of industrialization with ‘high carbon’ features meant that CO2 emissions increased rapidly from 2002-2007. The quantity and direction of the nine focal effects varied across industries and different industrial sectors.展开更多
文摘SDA(Seria l D istribu ted A rithm etic,SDA)数字滤波器具有速度快、结构规整等优点,广泛应用于数字信号处理器芯片级电路实现中.SDA在采样数据值位跳变频率比较高时,会导致很大的移位寄存器功耗,降低了SDA的性能、功耗比.研究SDA数字滤波器的低功耗设计,主要途径是通过一种优化阶符的二进制数据表示方式来表示采样数据,以达到减小采样数据值位跳变频率的目的,从而实现减小SDA数字滤波器的功耗.实验结果表明,本文研究的低功耗设计方法可有效减小SDA数字滤波器10%的功耗.
基金Supported by General Project for Humanities and Social Sciences Research of Ministry of Education of China(10YJC790025)Philosophy and Social Sciences Planning Project of Zhejiang Province(10CGJJ12YBQ)
文摘The simplified D＆L method with special properties required by ideal decomposition method was used to decompose the impact of carbon emission intensity,input-output technology,the final demand structure and the final demand level on changes in industrial carbon emissions in China during 1997-2012. The results showed that the final demand level which was the most important factor leading to the growth of carbon emissions performed a steadily and significantly positive and sustained effect. The carbon emissions intensity which was the only factor that led to the reduction in carbon emissions showed a negative effect. The input-output technology showed a positive effect. The final demand structure underwent a transition from a negative effect to a weak positive effect and finally to a positive effect. In order to achieve the goal of total carbon emission control,China should take some measures such as reducing direct carbon emission coefficient to strengthen the negative impact of carbon emission intensity. Meanwhile,China should implement some structural adjustment measures such as optimizing the final demand structure and reducing the proportion of industries with a great increase of influence coefficient to change the input-output technology and the final demand structure from the positive effect to the negative effect.
基金the National Twelfth-Five Year Science and Technology Support Program(2011BAJ07B03-06)
文摘The first task in ensuring a reduction in CO2 emissions is to quantitatively measure the factors and their effect size on increasing CO2 emissions due to fossil fuel consumption. An extension of the buying and import-noncompetition economy-energy-CO2 emission input-output model was designed to analyze CO2 emission increases for Beijing from 1997-2007. The increase in CO2 emissions because of energy consumption was broken down into nine kinds of effects including the change in energy consumption intensity and structure, and economic scale expansion. We found that the effect of economic scale expansion such as consumption investment, export and selling were the main factors increasing CO2 emissions. The effect of the change in energy consumption intensity was the dominant factor reducing CO2 emissions. CO2 emissions increased rapidly from 2002. The ifrst increase in carbon emissions was related to the service industry, adjustment in industrial structure and the priority given to tertiary industries. High energy consumption manufacturing was the industrial branch driving CO2 emissions; the main industry driving CO2 emission reductions was the energy industry. The new round of industrialization with ‘high carbon’ features meant that CO2 emissions increased rapidly from 2002-2007. The quantity and direction of the nine focal effects varied across industries and different industrial sectors.
