The algorithm USES the channel correlation in the frequency domain to greatly reduce the computation complexity and the number of required samples.
利用信道频率相关特性降低了算法复杂度，同时解决了算法对样本数的依赖问题。
The simulation for QPSK shows that the algorithm can estimate the carrier phase and frequency offset accurately and reduce the system BER effectively.
结果表明，用该算法可以精确估计载波相位和频差，有效地降低系统的误码率。
This algorithm can adaptively optimize the cost function and reduce the suppression of high frequency component of PET image by adaptively updating linear slope of the RP.
该算法通过对正则化线性斜率的自适应，更新动态优化代价函数，以降低对PET图像高频成分的抑制。
This algorithm can achieve high frequency resolution and reduce the search range of MUSIC algorithm's spectral peak.
该算法可得到较高的频率分辨率，并减少了MUSIC算法的谱峰搜索范围。
The algorithm completes range migration correction through correcting the linearity Doppler frequency line. It can avoid one time inserting processing and reduce calculation.
该算法通过对具有线性的多普勒谱线进行校正来完成距离迁移校正，避免了一次插值运算，减少了运算量。
According to the overlap of the respiration and heartbeat frequency spectra, an adaptive LMS algorithm has been adopted to reduce the correlative noise and to form a more ideal heartbeat waveform.
针对呼吸、心动信号频谱有重叠的特征，采用自适应lms算法对信号进行相关噪声抵消处理，从而获取较为理想的心动信号。
According to the overlap of the respiration and heartbeat frequency spectra, an adaptive LMS algorithm has been adopted to reduce the correlative noise and to form a more ideal heartbeat waveform.
针对呼吸、心动信号频谱有重叠的特征，采用自适应lms算法对信号进行相关噪声抵消处理，从而获取较为理想的心动信号。
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