Hashimoto Yasushi, Strain Boyd R, Ino Taketoshi
Duke University Phytotron, Botany Department, Duke University, 27706, Durham, North Carolina, USA.
Department of Agricultural Engineering, Ehime University, 790, Matsuyama, Japan.
Oecologia. 1984 Aug;63(2):159-165. doi: 10.1007/BF00379872.
The dynamic behavior of CO uptake in sunflower plants was measured in a computer controlled apparatus and identified systematically using spectral analysis.To obtain impulse responses of net CO uptake, power spectra were estimated by the Fast Fourier Transform (FFT) method. FFT was done by computing 512 separate data points sampled at one minute intervals. From examination of coherency, it was determined that dynamic behavior of CO uptake could be estimated by linear filtering based on impulse response as affected by the light in changes slower than 0.08 cycle min. This suggests that other dynamic phenomena in physiological ecology could be estimated effectively by using advanced system theory involving many algorithms.
在计算机控制的仪器中测量了向日葵植株对CO的吸收动态行为，并使用频谱分析进行了系统识别。为了获得净CO吸收的脉冲响应，通过快速傅里叶变换（FFT）方法估计功率谱。FFT是通过计算以一分钟为间隔采样的512个单独数据点来完成的。通过相干性检验，确定在变化慢于0.08周期/分钟的光照影响下，基于脉冲响应的线性滤波可以估计CO吸收的动态行为。这表明利用涉及多种算法的先进系统理论可以有效地估计生理生态学中的其他动态现象。
