noise background

In addition, the state space model and the structure property of signal space were fully employed in this article, therefore the better performance of the harmonic retrieval was gained under the additive hybrid colored noise background as well as lower signal noise rate.

本文还采用了状态空间模型来描述时间序列，充分利用信号空间的结构特性，进而最终实现了在有色加性混合色噪声背景下较低信噪比的谐波恢复。

In this thesis the Morse telegraph code detection and recognition in noise background is investigated.

本论文研究的是噪声背景下的莫尔斯信号的检测和识别技术。

However, poor conditions of transmission, serious noise background, time and frequency selective fading, the limited bandwidth of channel result in serious distortion of UWA communication signals.

但由于水声通信传输条件恶劣，存在严重的噪声背景，并且水下声信道的带宽十分有限，再加上复杂的多径传播和时间、频率选择性衰落，导致水声通信信号严重畸变。

Simulation experiment make it clear that wavelet package transform outgoes wavelet transform by using local signal de-noising method under the strong noise background. 3.

仿真实验表明，在强噪声背景下进行局部信号去噪，小波包变换优于小波变换。

The principles and methods of filter for Mores code under the noise background are introduced.

介绍了对噪声背景下的莫尔斯码进行滤波的原理及方法.

A new detection method for low speed and small target over noise background

噪声背景下雷达低速小目标检测的一种新方法

A robust speech recognition system based on discriminative learning of environmental features is proposed for recognition of environmental features in high noise background, and a gradient descent algorithm was adopted for parameters optimization.

介绍了一种环境特征判别学习的Robust语音识别方法，该方法基于最小分类错误准则利用梯度下降法迭代地学习环境特征，实现了高噪声背景下命令语音识别系统。

A TV target tracing system has following features: real-time, image indistinctness on the ground of dynamic tracing and external environmental distortion, high noise background intensity and so on.

电视目标跟踪系统实时性强，由于是动态跟踪和外界环境干扰，所以导致图像不清晰、背景噪声较强。

A speech recognition system in high noise background based on discriminative learning of environmental features

基于环境判别学习的高噪声命令语音识别系统

Based on discussion of multi-feature recognition method for chaotic time series, the paper studies feature extraction of chaotic time series and its application in multi-variable phase space reconstruction under certain noise background.

本文在探讨混沌时间序列多特征识别方法的基础上，研究一定噪声背景下，混沌序列的特征提取方法及其在多变量相空间重构中的应用。

Computer simulations prove that under both the white noise and the colored noise background, the proposed algorithm attains lower SNR gate, less computation burden with good stability than the Unitary-ESPRIT algorithm.

通过计算机仿真试验可知，无论在白噪声还是色噪声背景下，与酉-ESPRIT算法相比，本算法不仅减少了计算量，并且具有更小的信噪比门限，提高了酉-ESPRIT算法的鲁棒性。

Simulation result shows that by the method useful signal can be gotten primely from the noise background that is similar to the measured signal.

仿真结果表明利用这种方法能在和被测对象相似的噪声背景中很好地提取有用信号。

It means that we can diagnose subtle change of global atmosphere temperature by using Schumann resonance data recorded at any single station with low noise background.

这就是说，在全球任何一个背景噪声较低的地点设置一个舒曼共振台站，可由这一台站纪录的舒曼共振幅度的明显变化推断全球热带大气气温的细微变化。