离散频谱 meaning in English
discrete frequency spectrum
discrete spectrum
Examples
- Adopting the latest research result on dynamic signal discrete spectrum analysis and the idea of virtual instrument , a dynamic signal analysis virtual instrument software system is developed , which is based on windows and has good performance
并采用动态信号离散频谱分析领域最新研究成果，基于虚拟仪器设计思想，研制一套方法新、功能全、实时性好、精度高的基于windows的通用动态信号分析虚拟仪器软件系统。 - The method of compressing bandwidth of fringe function is proposed that basis fringe contains discrete spectrum which is based on human vision for real - time display , we also introduce discusses the spatial light modulators ( slms ) based on display system of digital holography and theory of numerical reconstruction of digital holography
为了达到实时性要求，在满足人眼视觉的光信息量基础上，对带宽压缩的理论问题进行了研究，提出了基于离散频谱的带宽压缩算法，并给出了结果。 - Due to existing signal processing technology ’ s shortage such aslow measurement , narrow measurement range precision and other poor performance , we introduced a high - precise signal processing technology : firstly , to get power spectrum with hanning windowed welch modified periodogram , search its peak value frequency ; secondly , to apply zooming analysis via goertzel algorithm ; at last , to get a highly precise doppler frequency with energy centrobaric rectifying algorithm 。 the simulating result indicated that this technology introduced could get accurate doppler frequency 。 depending on above discussed technology , we designed a signal processing scheme , and developed a signal processing system . the running result showed high performance , verified the feasibility and reliability of the highly precise signal processing technology introduced . in a word , the technology improved ldv ’ s performance such as measurement precision , measurement range , dynamic response time 。 and it will have a wide application foreground
针对存在的缺点,本文提出了一种应用于激光多普勒测速的高精度信号处理技术,即首先利用加hanning窗的welch修正周期图算法得到信号功率谱,搜索其谱峰值频率,接着利用goertzel频谱细化算法对搜索的谱峰进行细化分析,再引入能量重心频谱校正算法对细化后的谱峰进行校正分析,从而将离散频谱分析算法、频谱细化算法和频谱校正算法三者有机结合起来,充分发挥各自的优点:通过加hanning窗的welch修正周期图算法快速得到功率谱及峰值频率,通过goertzel算法获得分析频带的高分辨率频谱,然后通过能量重心校正算法对细化后的频谱进行高精度校正,这样不仅保证了算法的高效性,而且大大提高了分析的精度。 - Consequently , a synthesized method is presented in this thesis , which includes time - domain shifting , window - length changing and window - type changing ( the second time - domain sequence lags behind the first one with l points , performing n - point fft analysis on the first sequence and m - point fft analysis on the second one with different windows , and finally correcting peak lines )
利用这一原理提出通用的离散频谱相位差校正方法：时域平移+改变窗长+改变窗函数，即第二段时域序列比第一段滞后l点，采用不同窗函数对这两段时域分别作n点和m点的fft分析。 - After analysising three existed methods for phase difference correction on discrete spectrum , it is recommended to correct the spectrum containing small noise in engineer practice by the first phase difference correcting method ( performing fft analysis on two continuous original sequence ) with harming window
综合分析现有三种离散频谱相位差校正方法，推荐在小噪声工程实际中加hanning窗的第一种相位差法(采连续两段信号作相同点数fft的相位差校正法)进行校正。