A novel speech enhancement method based on wavelet packet energy in strong noise background 强噪声条件下基于小波包能量的语音增强新算法
Research on Automatic Detection and Recognition of Morse Signal in Noise Background 噪声背景下短波莫尔斯信号的自动检测和识别研究
This paper attempts to preprocess ultrasonic signal by wavelet filtering based on the mathematical model of the ultrasonic echo, extracts weak echoes from signal with high noise background. 在超声反射回波的数学模型基础上,利用小波滤波方法对超声信号进行预处理,提取强噪声背景中的弱回波信号。
The harmonic retrieval is classified according to the different noise background, in additive noises and multiplicative additive noises. 根据噪声背景的不同,谐波恢复可以分为加性噪声背景和乘性混合噪声背景下的谐波恢复。
The hearing-aid enables him to hear what other people are saying if there is not a very noise background. 在没有太大噪音的环境下,助听器使他能够听到别人说的话。
Simulation results and a trial test with sea noise background are given, together a method of estimating parameters of the bistable model. 给出了双稳态模型参数的估计方法、值仿真和应用于海洋噪声背景下波束形成的实验结果。
According to different existences of noise background and signals, there are several approaches to azimuth angle estimation based on a single vector hydrophone. 根据不同的噪声背景和信号形式,单矢量水听器有多种方位估计方法。
Research on Speech Enhancement Method in High Noise Background 强噪声背景下的语音增强方法研究
Then proposes a method to detect the arrival time of instantaneous signal and the frequency composition under strong noise background. 提出了在强噪声背景下检测瞬时信号的到达时间和频率成分的方法。
Based on the simulation of structural parameters of bistable non linear system and the relation between weak signal and noise is implemented, the weak signal detection under heavy noise background by using random resonance technology is studied. 就双稳态非线性系统的结构参数和弱信号及噪声之间的关系进行了仿真,对随机共振技术运用于强噪声背景下的弱信号检测进行了研究。
Filtering Detection Method of Signal in Chaos and Noise Background 混沌、噪声背景中信号的滤波检测方法
When the observed seismic data have noise background, these methods are effective. 在处理存在干扰背景的地震观测资料时是有效的。
This scheme can effectively extract the weak sinusoidal signal from the strong colored noise background. 该方案可以有效地将深陷在色噪声背景中的微弱正弦信号检测出来。
By means of the principle of correlation analysis, this paper introduces an approximate method for estimating signal-to-noise ratio on random noise background. 本文利用相关分析的原理,提出一种在随机噪音的背景上估算信噪比的近似方法。
Self adaptive predictor is used to extract periodic signals with unknown frequencies from wide band random noise background. 自适应预估器能用来提取宽带随机噪声背景中未知频率的周期性信号。
At last, the sea noise background was analyzed and simulated. 论文最后对海洋背景噪声进行分析和仿真。
Based on the local correlation principle, a practical method was put forth to separate chaotic signal from noise background. 基于局部相关原理,提出了一种可以有效实现混沌信号和噪声分离的方法。
In this paper, position error signal extraction, detection method of weak optical signal under hign noise background and how to select available detector in ATP system of Free Space Optical Communication are discussed. 讨论了自由空间光通信ATP系统中位置误差信号的提取,高噪声背景下微弱光信号的检测方法以及如何选择合适的光电探测器。
Signal detection of PSA means detecting the signal at given direction with unknown polarization state under generalized noise background. 极化敏感阵列信号检测主要研究待检测方向上广义噪声背景中未知极化信号的检测问题。
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。
RESULTS: Non contact life parameter signals were identified against strong noise background. 结果:利用该方法进行非接触检测系统信号的识别,能够在强噪声背景下检测出生命参数信号。
We build a chaotic system which dynamic behavior is very sensitive to weak square wave signal, and then use the change of phase space track of this system to realize detection of the weak square wave signal from any colored noise background. 建立一个其动力学行为对微弱方波信号极其敏感的混沌系统,根据该系统相轨迹的变化实现了任意色噪声背景下的微弱方波信号的测量。
A method on weak signal detection in a stronger noise background based on high-order statistics is presented in this paper. 提出了一种利用高阶统计量对强噪声背景下的弱信号进行检测的方法。
This paper emphatically analyzes weak signal detection method for unknown frequency under the strong noise background. After a large number of simulation experiments, the united detection system could obtain the ideal effect for signal recognition and improve the signal detection capacity. 本文着重分析了在强噪声背景下对未知频率的微弱信号进行检测的方法,通过大量仿真实验得出,本文提出的检测系统对微弱信号识别能达到良好效果,并且检测能力进一步提高。
And, now, detecting weak signals from strong noise background is valuable in engineering field. 在工程实践中,从强噪声背景中提取弱信号也具有越来越广泛的应用价值。
Better recognition results can be yielded for many digital baseband signals in various noise background. 2. 在多种噪声背景下,对多种数字基带信号均取得了较好的识别效果。
This article focuses on the theory of stochastic resonance under strong noise background of non-periodic signal detection methods. 本文重点研究基于随机共振理论的强噪声背景下非周期信号检测方法。
The apparatus has the ability to extract weak signals from a strong noise background. 有效地提高了在强噪声背景下,仪器对微弱信号提取的能力。
Extraction algorithms for recognition object of high noise background. 高噪声背景下的识别目标提取算法。
The influence of the frequency difference and the phase difference has been studied in the Duffing chaos system for analyzed weak signal. Under the strong noise background, the sine signal examination result on the Duffing chaos system has been analyzed. 研究了频差和相位差对Duffing混沌系统检测微弱信号的影响,对白噪声背景下Duffing混沌系统对正弦信号的检测结果进行分析。