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casa模型
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  casa model
     APPLICATION OF CASA MODEL TO THE ESTIMATION OF CHINESE TERRESTRIAL NET PRIMARY PRODUCTIVITY
     利用CASA模型估算我国植被净第一性生产力
短句来源
     Based on the Light Utility Efficiency and CASA model, we set up a model to estimate the terrestrial net primary production (NPP) of China, which the 1KM MODIS data were used as main remote sensing data input in it. We estimated the terrestrial net primary production of China in 2001. And the temporal & spatial change of NPP was analyzed.
     基于光能利用率原理,在CASA模型的基础上,利用MODIS数据作为遥感数据输入源,本文建立了陆地净初级生产力的估算模型,实现了2001年中国陆地净初级生产力的模型估算。 并对NPP的时空格局进行了分析。
短句来源
     The net primary production (NPP) of Chinese terrestrial vegetation in 1997 was estimated based on the CASA model.
     基于地理信息系统和卫星遥感应用技术 ,利用 CASA模型估算了我国 1997年植被净第一性生产力及其分布。
短句来源
     This paper uses an improved CASA model to estimate the NPP produced by China’s terrestrial ecosystem in 1995, and comparing with the field survey data and outputs of other researches we can conclude that the approach we use is reliable.
     利用改进的CASA模型对中国陆地生态系统1995年NPP进行了估算,它与实测数据和国内其他研究成果的比较验证证明了该方法的可靠性;
短句来源
     In this study,a regional process-based carbon cycle model(CASA model) was used to estimate the Q_(10) values for the different land use types. Basing on the differences of Q_(10) among land use types,the indirect impacts of land use change on soil organic carbon storage was assessed.
     利用生态系统碳循环过程模型(CASA模型)反演了不同土地利用类型下的Q10值,并评价了土地利用类型的改变对土壤有机碳储量变化的间接影响。
短句来源
  “casa模型”译为未确定词的双语例句
     The paper studies the spatial-temporal variations of NPP for vegetations in east Asia(70°~170°E,10°~70°N),by making use of both the weather data recorded from the ground and remote sensing data(NOVA/AVHRR NDVI,8?km×8?km) to drive NPP model(CASA) with the improved parameters.
     为了了解气候变化对东亚地区植被生产力的影响,该文利用气象数据和卫星遥感数据(NOVA/AVHRR NDVI,8 km×8 km),采用改进参数的CASA模型研究了东亚地区植被净第一性生产力的时空变化.
短句来源
     In this study, a simplified logarithm model was build to estimate forest canopy LAI by RADARSAT-SAR.
     并在改进的CASA模型基础上,利用RADARSAT-SAR模拟的冠层反射率数据作为NPP遥感模型的遥感输入源,对研究区热带人工林的净初级生产力进行了模拟。
短句来源
     The conclusions are below:1. Validate the CASA's applicability in inland watershed scale.
     研究结论如下:一、验证了CASA模型在内陆河流域范围内的可适用性。
短句来源
     The net primary production (NPP) of Chinese terrestrial vegetation during 1982—1999 (excluding 1994 because of missing data) was estimated, and its spatio\|temporal patterns were explored, based on the CASA (Carnegie\|Ames \|Stanford Approach) model and using remote sensing imagery (NOAA/AVHRR) and land spatial data of vegetation, climate, soil and solar radiation.
     基于地理信息系统和卫星遥感技术 ,利用植被、气候和土壤等地面空间数据 ,应用CASA模型估算了 1982— 1999(除 1994 )年间我国植被年净第一性生产量及其时空变化。
短句来源
     Lots of computer simulations show that the proposed CASA speech enhancement algorithm can improve the output SNR (about 10 dB) and the understandable ability of the outputs distinctly in both case of using the car noise and the white noise.
     通过在汽车噪声和白噪声干扰下的仿真实验结果表明 ,简化的 CASA模型语音增强算法的输出信噪比约提高了 1 0 d B,且可以有效抑制干扰噪声的听觉影响 ,增强输出语音信号的可懂度
短句来源
  相似匹配句对
     E model of CRM.
     E模型
短句来源
     This improved mixing dielectric model yields an excellent fit to measured data.
     模型
短句来源
     Speech Enhancement Based on Simple CASA Model
     基于CASA简化模型的语音增强算法
短句来源
     APPLICATION OF CASA MODEL TO THE ESTIMATION OF CHINESE TERRESTRIAL NET PRIMARY PRODUCTIVITY
     利用CASA模型估算我国植被净第一性生产力
短句来源
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  casa model
In this paper, we combined the process-based model (CASA model) with the measured SOC, in which the remote sensing data (AVHRR NDIV) was incorporated into the model to enhance the spatial resolution.
      
To model the soil base respiration, the Van't Hoff model was used to combine with the CASA model.
      
An improved Carnegie Ames Stanford Approach model (CASA model) was used to estimate the net primary productivity (NPP) of the Northeast China Transect (NECT) every month from 1982 to 2000.
      
Vegetation NPP distribution based on MODIS data and CASA model-A case study of northern Hebei Province
      
This paper aims to use Moderate Resolution Imaging Spectroradiometer (MODIS) data to estimate and analyze spatial and temporal distribution of NPP of the northern Hebei Province in 2001 based on Carnegie-Ames-Stanford Approach (CASA) model.
      
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The net primary production (NPP) of Chinese terrestrial vegetation during 1982—1999 (excluding 1994 because of missing data) was estimated, and its spatio\|temporal patterns were explored, based on the CASA (Carnegie\|Ames \|Stanford Approach) model and using remote sensing imagery (NOAA/AVHRR) and land spatial data of vegetation, climate, soil and solar radiation. As results, terrestrial NPP in China indicated a significant increase over the past 18 years, with an average value of 1 8?PgC and a mean increasing...

The net primary production (NPP) of Chinese terrestrial vegetation during 1982—1999 (excluding 1994 because of missing data) was estimated, and its spatio\|temporal patterns were explored, based on the CASA (Carnegie\|Ames \|Stanford Approach) model and using remote sensing imagery (NOAA/AVHRR) and land spatial data of vegetation, climate, soil and solar radiation. As results, terrestrial NPP in China indicated a significant increase over the past 18 years, with an average value of 1 8?PgC and a mean increasing rate of 0 024?PgC·a -1 . The NPPs in alpine meadow vegetation, evergreen broadleaf and evergreen needle\|leaf forests showed a marked increase. Precipitation is a limiting factor for terrestrial NPP in China.

基于地理信息系统和卫星遥感技术 ,利用植被、气候和土壤等地面空间数据 ,应用CASA模型估算了 1982— 1999(除 1994 )年间我国植被年净第一性生产量及其时空变化。结果表明 :18年间我国植被净第一性生产量呈增加趋势 ,平均增加速率为 0 0 2 4PgC·a-1,其均值为 1 8PgC ,其中高寒植被、常绿阔叶林和常绿针叶林的增加速度最快 ;降水是限制我国植被净第一性生产力的主要因子。

Based on the principle of computational auditory scene analysis (CASA) and the frequency masking effect of human ears, a new simple single channel CASA speech enhancement algorithm was proposed to reduce the auditory effect of non speech noises in the mixed inputs. The useful speech time frequency components can be picked up successfully by the proposed algorithm, and they are used to reconstruct the enhanced outputs. Lots of computer simulations show that the proposed CASA speech enhancement algorithm can...

Based on the principle of computational auditory scene analysis (CASA) and the frequency masking effect of human ears, a new simple single channel CASA speech enhancement algorithm was proposed to reduce the auditory effect of non speech noises in the mixed inputs. The useful speech time frequency components can be picked up successfully by the proposed algorithm, and they are used to reconstruct the enhanced outputs. Lots of computer simulations show that the proposed CASA speech enhancement algorithm can improve the output SNR (about 10 dB) and the understandable ability of the outputs distinctly in both case of using the car noise and the white noise.

基于听觉现象分析 (CASA)模型的基本原理 ,针对仅有非语音信号干扰情况下的单通道语音增强处理问题 ,利用人耳的频率掩蔽效应 ,提出了一种单通道简化 CASA计算模型语音增强新算法 .新算法通过提取混合语音输入中的有效语音时频成分并利用人耳的听觉掩蔽效应重构合成增强语音输出信号 .通过在汽车噪声和白噪声干扰下的仿真实验结果表明 ,简化的 CASA模型语音增强算法的输出信噪比约提高了 1 0 d B,且可以有效抑制干扰噪声的听觉影响 ,增强输出语音信号的可懂度

Based on the principle of computational auditory scene analysis (CASA), a CASA speech separation algorithm was proposed by using oscillator neural network. One example is used to explain the processing and the coefficients in the proposed algorithm in detail. The first part of the proposed algorithms includes the auditory periphery processing and the processing of the segmentation oscillator neural network. The speech auditory perceptive segments can be given by the processing of this part in the proposed algorithm,...

Based on the principle of computational auditory scene analysis (CASA), a CASA speech separation algorithm was proposed by using oscillator neural network. One example is used to explain the processing and the coefficients in the proposed algorithm in detail. The first part of the proposed algorithms includes the auditory periphery processing and the processing of the segmentation oscillator neural network. The speech auditory perceptive segments can be given by the processing of this part in the proposed algorithm, and they will be used for the clustering and reconstructing processing in the next part of the proposed algorithm.

基于听觉现象分析 (CASA)模型的基本原理 ,在仅有单通道输入混合语音信号时 ,采用振荡器神经网络 ,提出了一种 CASA改进模型语音分离算法结构 .文中利用一个实例说明了新算法的具体实现步骤 .讨论了新算法机构中语音听觉外围处理部分和分割神经网络处理部分 .通过上述两个部分的处理可以将输入混合语音信号在时频域上分割为若干有听觉感知意义的语音听觉感知成分分段 Segments,以便于新算法后续处理部分中语音 Segments的聚类和分离重构输出处理 ,最终完成语音分离任务 .

 
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