ar model造句

• An improved ar model spectral estimation for carrier frequency
  模型谱估计法提取载波频率
• Automatic vehicle classification by radiated noise of vehicles based on ar model
  模型的车型自动分类技术
• An improved ar model spectral estimation for carrier frequency . 3
  提出了用改进的ar模型谱估计方法估计载波频率。
• The ar model can comparatively well forecast the movement trend of actual ship ' s rolling
  本文建立的自回归模型可以很好的预测船舶的摇荡运动趋势。
• ( 4 ) count method and ar model spectrum estimation method are adopted respectively to experiment
  ( 4 )分别采用计数的方法和ar模型谱估计的方法进行实验。
• The ar model is used to perform a time - series modeling and forecasting analysis for the spectral analysis data collected from aero - engines
  通过运用ar模型对采集的航空发动机滑油光谱数据进行时序建模和预测分析，获得了满意的效果。
• Annoyance rate ( ar ) and ar - based operations , i . e . expected ar ( ear ) and average ar ( aar ) , consist the major contents of the ar model
  烦恼率模型包括两个主要内容：烦恼率和建立在烦恼率基础上的烦恼率期望值、烦恼率平均值运算。
• A large doppler frequency shift estimation algorithm was proposed , which is called large doppler frequency shift estimation algorithm based on ar model
  摘要给出了一种适用于卫星通信的大频偏估计算法，文中称之为基于ar模型的大频偏估计算法。
• To exhibit the advantages of ar model , several problems commonly existed in the current design methods were discussed mean while the ar solution s for these problems were suggested
  为说明烦恼率方法的优越性，指出了传统设计方法普遍存在的几个问题，并给出了这些问题的解决方案。
• Therefore , using the ar model and the prony model to measure the inter - harmonics , an inter - harmonics measuring algorithm which is based on advanced spectral estimation is presented
  然后,文章提出了一种基于现代谱估计的间谐波检测算法,算法应用ar模型和扩充prony模型进行间谐波检测。
• After the mathematics principle which use simulating well and guassian probability distribution are reviewed , the simulation method of correlation gaussian clutter based on ar model is presented
  回顾了产生均匀分布、高斯分布随机序列的数学原理，提出了基于ar模型的相关高斯杂波仿真方法。
• The period of stock market is studied by wavelet decomposition ; 4 . one algorithm is introduced to predict the trend of stock market with wavelet analysis and ar model ; 5
  利用小波分析的变焦特性研究了股市周期性，并对其成因进行分析； 4 ，提出了一种基于小波分析及ar模型的股市趋势预测算法； 5
• Validated by the experiments , ar model spectrum estimation method is a good way to process flow signal and the results of it is more accuracy than the results that gain by count method
  通过实验验证， ar模型谱估计可以作为一种较好的方法，用来处理流量计的输出信号，并且此方法得出的结果比计数方法得出的结果精度高。
• After measuring and analyzing the vibration acceleration of a armored vehicle ' s gearbox , the ar model of single and multiple input - output system are established and the parameters are classified
  通过对装甲车辆齿轮主传动系统的振动信号测试与分析，分别建立了单输入单输出及多输入多输出系统的受控ar模型，辨识了系统参数。
• Based on the statere configuration system , an unknown input observer is presented for the prediction of time series . the approximate error of the ar model is regarded as the unknown - input of system
  以实时拟合时间序列的线性ar模型作为时变系统的已知线性部分,将拟合误差作为时变系统的未知输入,实现了系统状态的多步预测。
• And it improves the ber performance under the low snr condition . then the theory of the ar model and the random performance of the spread spectrum sequence , including co - correlation , balance are discussed
  主要讨论了ar参数模型提取扩频码的基本思想和实现模型,并分析了提取出的扩频码的随机性能,包括相关性,码平衡特性和游程特性。
• Ar model algorithm and fft algorithm for resolving power spectrum is compared as well . it shows that ar model algorithm is better than fft method . analyzing 15 minute hrv ( sit ) of 23 healthy persons by using ar and fft method
  对23例正常人(坐姿) 15分钟hrv信号分别采用fft和现代谱估计得到的功率谱进行统计，发现两种方法所得vlf 、 lf 、 hf基本吻合(相同性别相应年龄段) 。
• In the end , the detection algorithms of ar model of sea clutter are been studied . the ar - glrt and ar - rao detection algorithms that assume sea clutter ar model are been derived , and the performances are been simulated and analyzed at large
  最后是关于海杂波ar模型的检测算法,将杂波建模为ar模型推导了ar - glrt和ar - rao检测算法,对它们的检测性能进行了仿真,对仿真结果进行了详尽的分析。
• Secondly , overcoming drawback of single variable fitting ar models lacking of other variables acting on factor variable , a set of the trace formulas are given about the time - change coefficient matrixes of multivariable fitting ar models
  2应用逐段线性化的方法推导出了多维ar （ r ）自适应模型时变系数矩阵的递推公式，克服了单变量ar （ r ）自适应模型没有考虑其他变元对因变元的作用的缺陷。
• The fact that the local dynamical model has superior performance of predicting the reverberation sequence to the classical random ar model also reveals that the reverberation is more suitable for the deterministic model
  比较经典的随机ar模型和局部动力学线性模型的预测性能，发现后者平均相对误差小，可预测长度长。这个事实在一定程度上(至少从预测的角度看)说明混响过程更适合于确定性建模。