根据各频率的信号的叠加进行信号重构。
提出了一种能有效补偿噪声影响的信号重构算法。
An algorithm for the signal reconstruction to compensate efficiently the effect of noise is proposed.
应用了信号重构理论，极大增强了功率谐波源的谐波合成能力。
To buildup harmonic construction ability, we apply signal reconstruction theory in design.
本文提出一种基于联合神经网络的传感器故障诊断和信号重构的方法。
This paper discusses the methods of the sensor fault detection and signal reconfiguration using associated neural networks.
实际工业过程中，要实现某些重要参数的在线检测，信号重构非常关键。
In real industries, signal reconstruction is very important to realize detecting some significant parameters on line.
本文利用高阶矩的性质，提出一种改进的基于双谱估计的瞬态信号重构算法。
This paper presents a modified estimation algorithm for transient signal reconstruction based on bispectrum.
通过实验，得出sym 12结合软阈值处理法具有最优的信号重构及去噪效果。
According to experiments, it can be concluded that the treatment combining SYM12 with the soft threshold has the optimized signal reconstruction and de-noising results.
分析了信号零交叉表示方法，给出了新的由零交叉表示进行原始信号重构的算法。
Wavelet zero crossing representation is investigated. A new and simple method of reconstructing signal from its wavelet zero crossing representation is given.
在非线性多功能传感器的信号重构过程中，训练样本集不可避免地夹杂粗差数据。
Training sample set inevitably contains gross error in input signal reconstruction of nonlinear multifunctional sensor.
针对失效阵元给阵列性能带来的影响，提出一种基于信号重构的阵列失效校准方法。
Failed elements can seriously degrade the performance of an array and a method for array failure correction based on signal-reconstruction is presented.
重构模块(5)在运动校正的基础上根据核衰变信号重构经运动校正的发射断层摄影图像。
A reconstruction module (5) reconstructs a motion corrected emission tomographic image from the nuclear decay signals on the basis of the motion correction.
利用小波分析良好的时频局部化性质，可以很好地对爆破地震波进行信号重构和能量分析。
The wavelet packet method characterized by good time-frequency localization can be used to make signal reconstruction and energy analysis of blasting vibration wave.
在异步电机转子断条故障检测中，将原信号最优小波包分解，经自适应滤波后再信号重构。
During detection of asynchronous motor rotor-bar broken fault, the signal of current was reconstruct after decomposed by best wavelet packet and adaptive filtered.
本文讨论了信号频域相位与零点的关系，着重研究了频域非重零点对信号重构唯一性的影响。
In this paper the relation between phase and zeros in frequency domain is given, special attention is paid to the influence of simple real zeros on the uniqueness of reconstruction.
本文基于解析冗余原理，提出用信号重构的方法来实现单个阀位传感器故障下的容错阀门管理。
This paper presents the fault tolerant strategy of valve management under the failure of valve opening sensor via signal reconstruction.
结果显示，大部分工况下进气压力传感器和节气门位置传感器的信号重构误差可控制在10%以内，表明了所提出的调节策略是切实有效的。
The results show that the error of estimated value of both throttle position sensor and manifold pressure sensor are less than 10%, and the strategy put forward in this paper is valid.
分析了每一种信号的特征，提出并设计了逻辑芯片重构设计中信号类型识别算法。
This paper analyzes each kind of signal characteristics, proposes the signal type recognition algorithm in the logic chip restructuring design.
在此基础上提出了一种新的无线信道模型；结合分形插值方法，对多径衰落信号的重构进行了研究。
Then a novel channel model is proposed and fractal interpolation is applied to reconstruct the signals.
最后通过对能反映源特征的频带信号进行重构，这样能更好更有效的提取声发射信号的本质特征。
At last, we recomposed some frequency band of wavelets, and the results can efficiently extract the features of acoustic emission signal.
经过修正后的小波系数重构得到的信号图能够消去大部分噪声，清晰地反映入射波和反射波之间的时差。
The noise-extracted signal which is reconstructed by the revised wavelet coefficient could clearly reflect the time difference between incidence wave and reflection wave.
这样，所有幅度谱重构信号问题的理论与算法均可应用于MA模型参数求解当中。
As such, all the theory and algorithms in signal reconstruction from its spectral magnitude should be applied to solving the parameters of ma model.
在此基础上，重构了谐波信号的幅值、相位及频率。
On the basis of this, the harmonic signal is reconstructed by means of the method.
仿真结果表明，它可以使信号实现重构，消除码间干扰，提高通信系统的性能。
The simulation result shows that this technology can reconstruct signal and erase intersymbol interference, so that the performance of communication system is improved.
讨论了应用模型化测量方法，使用模型平移产生精确相移，使用波形重构技术精确合成周期信号的频率。
The modeling measurement method is discussed, the precise phase moving is produced by using model moving, and the precise frequency is made by using the waveform synthesizing technique.
幅度谱重构信号问题已取得了许多成果，而MA参数模型的求解却比较困难。
Fruitful developments in the signal reconstruction from its spectral magnitude are witnessed whereas the parameter solution of ma model encounters difficulties.
幅度谱重构信号问题已取得了许多成果，而MA参数模型的求解却比较困难。
Fruitful developments in the signal reconstruction from its spectral magnitude are witnessed whereas the parameter solution of ma model encounters difficulties.
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