传统的信号检测和估计方法一般是建立在背景噪声是白噪声这一假设基础之上。
Traditional methods of signal detection and estimation were based on the assumption that the background noise is white.
文章首先介绍了高阶统计量的定义和性质，特别指出了高阶统计量对高斯过程不敏感，这是我们利用它进行信号检测和估计的理论依据。
First, the definition and properties of HOS are introduced. We especially notice that HOS is insensitive to Gaussian process. This is the theoretical basis of signal detection and estimation.
直扩通信对抗包括直扩信号的盲检测、参数估计和扩频码序列恢复等内容。
The blind detection, parameters estimation and recovery of spreading sequences are the main contents of DS communication counter.
目前，国内外对MIMO雷达的研究主要集中在有源mimo雷达DOA估计、目标检测性能分析和波形设计与多通道信号模型等方面。
Nowadays, studies on MIMO radar mainly focus on DOA estimation, target detection performance analysis, waveform design and multi-channel signal modeling of active radars.
文中引入支持向量聚类（SVC）算法对多分量LFM信号进行检测和参数估计。
The support vector clustering(SVC)algorithm was introduced to detect linear modulation frequency(LFM) signal and estimate its parameter.
本文研究了直扩信号的检测和参数估计两方面内容，参数估计使用了循环周期图谱估计方法。
The detection and parameter estimation of DS signal are studied in this paper. Cyclic period chart spectrum estimation is used on parameter estimation.
方案利用时频联合估计来得到可靠的信号检测，并从导频符号估计时间和频率偏移。
Based on joint time and frequency offset estimation, a reliable signal detection scheme is obtained by modulated pilot symbols using an m-sequence.
采用高功率射频信号内部互调失真的包络特性检测与比较技术，对射频功率带外信号进行检测和估计。
This paper describes a new high power RF amplifier's IMD signal envelope detection method and compare technology, which is used to detect and estimate the RF spectral regrowth.
提出了阈值检测、降噪处理和功率谱估计三种分析和处理水中气泡激光散射信号的方法。
Three methods for analyzing and processing the laser scattering signal of bubbles in water, the threshold detection, noise elimination processing and power spectral estimation, are put forward.
为了解决强弱混合信号中检测和估计弱lfm分量参数的问题，在上面方法的基础上，结合逐次消去技术提出了多分量LF M信号参数估计算法。
By combining successive elimination technique with above method, weak LFM signals can be detected among some strong LFM signals and their parameters are estimated.
为了解决正确检测和识别直扩信号的问题，提出一种基于循环谱理论和矩阵变换法的盲估计算法。
In order to solve the problem of direct sequence spread spectrum signals check and recognition, a blind estimate algorithm is proposed, it based on cyclic spectrum theory and matrix transform.
本文主要内容是讨论几种经典算法对周期信号的检测和参数估计。
A big part of this thesis discusses the detection and parameter estimation of periodic components with several algorithms.
提出基于小波尺度图重分配的信号瞬态特征检测方法和瞬时能量估计方法，并应用于轴承在多种轻微故障状况下的振动非平稳特征的检测与表示。
The singal transient feature detection represent method, and a transient energy evaluation method are used based on the reassigned scalogram for the vibration non-stationary feature representation.
从统一考虑信号检测和方位估计的观点看来，这种波束形成方法最适用于信号的基阵处理。
From the viewpoint of considering signal detection and bearing estimation in a unified way, this beamforming is optimum to array signal processing.
结论改进的谱估计法提供了一种新的TWA检测手段，可以更全面的检测和观察心电中可能隐含的TWA信号。
Conclusion the improved spectrum-estimating method we proposed provides a new means to detect the concealed TWA in ECG.
为了解决正确检测和识别直扩信号的问题，提出一种基于循环谱理论和矩阵变换法的盲估计算法。
In order to solve the problem of direct sequence spread spectrum signal's check and recognition, a blind estimate algorithm is proposed, it based on cyclic spectrum theory and matrix transform.
研究和分析了如何充分利用空间和时间信息提高信号检测能力和估计性能的问题。
We study and analyse the problem to improve the capability for detecting the signals and the performance of parameter estimation by making use of the temporal and spatial information of signals.
频率估计装置57、定时估计装置58分别将频率偏移量和定时偏移量通过控制信道从移动台接收的信号中检测出来。
Frequency and timing estimating units (57, 58) measure frequency and timing offsets, respectively, from a signal received from a mobile station via a control channel.
频率估计装置57、定时估计装置58分别将频率偏移量和定时偏移量通过控制信道从移动台接收的信号中检测出来。
Frequency and timing estimating units (57, 58) measure frequency and timing offsets, respectively, from a signal received from a mobile station via a control channel.
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