为了更有效的提高光纤电流互感器FOCT(Fiber-Optical Current Transformer)的信噪比,在分析FOCT输出信号特性的基础上,结合变步长自适应算法和小波变换理论,提出一种针对处理FOCT输出信号的改进多尺度域变步长自适应滤波算法,并设计了...为了更有效的提高光纤电流互感器FOCT(Fiber-Optical Current Transformer)的信噪比,在分析FOCT输出信号特性的基础上,结合变步长自适应算法和小波变换理论,提出一种针对处理FOCT输出信号的改进多尺度域变步长自适应滤波算法,并设计了一种基于Active X技术的变步长自适应滤波系统,通过该系统将改进算法与现有的变步长自适应算法进行了对比,结果表明此算法的收敛速度和稳态精度都得到了很大的改善。然后将此算法在FOCT中进行了应用测试,测试结果反映了该算法能有效提高FOCT的检测信噪比和抗噪声干扰能力。展开更多
村域作为国土空间的主形态,是实施耕地保护政策的基本单位,也是准确诊断耕地“非粮化”的基本单元。本文以内蒙古自治区科尔沁左翼中旗经济相对欠发达的希伯花镇巴音胡硕嘎查(相当于行政村)为研究区域,通过田野调查,获取研究区耕地基本...村域作为国土空间的主形态,是实施耕地保护政策的基本单位,也是准确诊断耕地“非粮化”的基本单元。本文以内蒙古自治区科尔沁左翼中旗经济相对欠发达的希伯花镇巴音胡硕嘎查(相当于行政村)为研究区域,通过田野调查,获取研究区耕地基本数据的基础上,采取统计分析和多元线性回归分析法,对村域耕地“非粮化”现状及其成因进行分析。结果表明:(1) 由300户农户的问卷调查统计数据来看,547.3 hm2耕地中有174.3 hm2耕地用于种植经济作物,占耕地总面积的31.8%,其中自种耕地的非粮化水平为3.7%、流转耕地的非粮化水平为72.2%;(2) 经济、社会、农户自身条件和当地资源禀赋等多重因素共同驱动了研究区耕地“非粮化”水平,其中种粮比较效益的低下、家庭劳动力的流失、农户自身文化的限制以及耕地产量的不稳定是导致耕地“非粮化”的重要驱动因素,劳动力流入城市或耕地流转后,耕地“非粮化”程度出现了进一步加剧的现象。As the primary form of land space, the village area serves as the fundamental unit for implementing cultivated land protection policies and accurately diagnosing non-grain cultivated land. This study focuses on Bayin Hushuo Gacha, an economically underdeveloped administrative village in Xibohua Town, Horqin Left Wing Middle Banner, Inner Mongolia Autonomous Region. Utilizing field investigation data on cultivated land in the research area, statistical analysis and multiple linear regression are employed to analyze the current situation and causes of non-grain cultivated land in the village. The findings indicate that: (1) Out of 547.3 hm2 of cultivated land surveyed from 300 peasant households, 174.3 hm2 (31.8% of total cultivated land) was used for cash crop cultivation, with a non-grain level of 3.7% and converted land at 72.2%;(2) Various factors including economic conditions, social dynamics, farmers’ circumstances, and local resource endowment collectively influence the non-grainization level of cultivated land in this area. Among these factors are low comparative benefits from growing grain crops, loss of family labor force availability, constraints related to farmers’ cultural background, and instability in yield from cultivated lands which significantly contribute to the trend towards non-grainization.展开更多
文摘为了更有效的提高光纤电流互感器FOCT(Fiber-Optical Current Transformer)的信噪比,在分析FOCT输出信号特性的基础上,结合变步长自适应算法和小波变换理论,提出一种针对处理FOCT输出信号的改进多尺度域变步长自适应滤波算法,并设计了一种基于Active X技术的变步长自适应滤波系统,通过该系统将改进算法与现有的变步长自适应算法进行了对比,结果表明此算法的收敛速度和稳态精度都得到了很大的改善。然后将此算法在FOCT中进行了应用测试,测试结果反映了该算法能有效提高FOCT的检测信噪比和抗噪声干扰能力。
文摘村域作为国土空间的主形态,是实施耕地保护政策的基本单位,也是准确诊断耕地“非粮化”的基本单元。本文以内蒙古自治区科尔沁左翼中旗经济相对欠发达的希伯花镇巴音胡硕嘎查(相当于行政村)为研究区域,通过田野调查,获取研究区耕地基本数据的基础上,采取统计分析和多元线性回归分析法,对村域耕地“非粮化”现状及其成因进行分析。结果表明:(1) 由300户农户的问卷调查统计数据来看,547.3 hm2耕地中有174.3 hm2耕地用于种植经济作物,占耕地总面积的31.8%,其中自种耕地的非粮化水平为3.7%、流转耕地的非粮化水平为72.2%;(2) 经济、社会、农户自身条件和当地资源禀赋等多重因素共同驱动了研究区耕地“非粮化”水平,其中种粮比较效益的低下、家庭劳动力的流失、农户自身文化的限制以及耕地产量的不稳定是导致耕地“非粮化”的重要驱动因素,劳动力流入城市或耕地流转后,耕地“非粮化”程度出现了进一步加剧的现象。As the primary form of land space, the village area serves as the fundamental unit for implementing cultivated land protection policies and accurately diagnosing non-grain cultivated land. This study focuses on Bayin Hushuo Gacha, an economically underdeveloped administrative village in Xibohua Town, Horqin Left Wing Middle Banner, Inner Mongolia Autonomous Region. Utilizing field investigation data on cultivated land in the research area, statistical analysis and multiple linear regression are employed to analyze the current situation and causes of non-grain cultivated land in the village. The findings indicate that: (1) Out of 547.3 hm2 of cultivated land surveyed from 300 peasant households, 174.3 hm2 (31.8% of total cultivated land) was used for cash crop cultivation, with a non-grain level of 3.7% and converted land at 72.2%;(2) Various factors including economic conditions, social dynamics, farmers’ circumstances, and local resource endowment collectively influence the non-grainization level of cultivated land in this area. Among these factors are low comparative benefits from growing grain crops, loss of family labor force availability, constraints related to farmers’ cultural background, and instability in yield from cultivated lands which significantly contribute to the trend towards non-grainization.
