图象中的动目标可以通过雷达回波的频谱特性进行分析、检测和分离，并能将动目标频谱移动到原点。
In SAR image moving targets can be analysised, detected and detached by spectrum characteristics of the radar echoes, and the spectrum of moving tar-gets can be shifted to the origin.
基于频谱特征的语音激活检测方法易于实现，计算量小且准确率高，适合较高信噪比的实时数字通信网络中。
Our voice activity detection method is simple to be implemented and calculated and has high accuracy, which can work in the real time digital communication network with better signal-noise-ratio.
在频谱感知中，我们使用能量检测的方法，发现半投票准则是最优的融合准则。
We focus on energy detection for spectrum sensing and find the optimal fusion rule which is the half-voting rule.
本文研究了认知无线电关键技术之一的频谱检测技术，并对频谱检测技术在无线体域网中的应用进行了分析。
This paper has studied on spectrum sensing technology, one of the key technologies of cognitive radio systems, and its application of wireless body area networks.
其次，在认知无线电网络中，由于信道的随机性，造成频谱检测过程中的不确定性。
Secondly, the uncertainty during the process of the spectrum detection is caused by the random of the channel in the Cognitive Radio network.
信号信息处理的新技术压缩感知，提供了认知无线电中宽带频谱检测的新方案。
Compressed sensing is a novel technology in signal information processing. It offers a new wide-band spectrum detection scheme in cognitive radio.
在第三章中，主要对认知无线电的网络架构进行了研究，提出了具有频谱检测层的网络模型。
In the third chapter, we studied cognitive radio network architecture and put forward a new network model with a spectrum sensing layer.
根据加工工艺的需要， 系统采用主从控制结构，振动信号的检测、频谱分析与电解加工在整个过程中交替进行。
During the processing of the foil, the signal-collecting, the frequency-analyzing and the electrolysis-controlling should been done alternately.
介绍了认知无线电系统中主要的频谱检测技术，对它们的基本原理、实现方法和优缺点等进行了详细分析和讨论。
The important spectrum sensing technologies of CR are introduced, their basic principles, methods and advantages and disadvantages to achieve such a detailed analysis and discussion.
在认知无线电网络中，频谱检测作为一个核心问题受到了广泛的研究。
In cognitive radio networks, spectrum sensing as a core issue has been widely studied.
首先进行了贝叶斯频谱估计方法在电缆故障检测应用中的研究。
The two parts use the same analysis method—Bayesian Spectrum Analysis.
该检测语音的频谱波峰的方法包括：从上述语音的功率谱中检 测出语音频谱波峰候选；
The method for detecting voice frequency spectrum wave crest comprises the following steps: detecting voice frequency spectrum wave crest candidates from the power spectrum of the voice;
该检测语音的频谱波峰的方法包括：从上述语音的功率谱中检 测出语音频谱波峰候选；
The method for detecting voice frequency spectrum wave crest comprises the following steps: detecting voice frequency spectrum wave crest candidates from the power spectrum of the voice;
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