通过实验证明，该算法能够有效的增强复杂背景下的微弱目标信号。
The experiments verified that the weak signals submerged in the complex background can be enhanced efficiently by this algorithm.
从试验结果看，两种算法能够抵抗JPEG压缩以及高斯噪声等信号处理的攻击，且改进后的算法水印鲁棒性及保密性得到了增强。
The experimental results show that both of them can resist signal distortions such as JPEG compression, Gauss noise, and the improved algorithm has better robustness and security.
解决了通常算法中增强细节信号的同时也放大了噪声这个问题。
The algorithm solves the problem of noise amplification while enhance signal visibility.
新算法通过提取混合语音输入中的有效语音时频成分并利用人耳的听觉掩蔽效应重构合成增强语音输出信号。
The useful speech time frequency components can be picked up successfully by the proposed algorithm, and they are used to reconstruct the enhanced outputs.
实验表明，该算法对于单通道输入有色噪声干扰下的带噪语音信号有较好的增强效果。
The simulation results show that the algorithm has better performance for single input channel in environment of colored noise.
针对加性有色噪声干扰，提出了一种单通道输入基于信号子空间的语音增强算法。
A kind of single input channel speech enhancement algorithm based on signal subspace is studied for enhancement of speech degraded by colored additive noise.
将TVAR模型的信号和反射系数矢量增广为状态矢量后，应用高斯粒子滤波器(GPF)估计TVAR的模型参数，构造了语音增强算法。
When TVAR model signal and reflection coefficients were extended to state vector, Gaussian Particle Filter (GPF) was applied to estimate parameters of TVAR model.
实验结果表明改进算法在增强有用信号的同时较大限度地抑制图像噪声。
The experiments results tell that the improved algorithm can enhance the image by suppress efficiently the noise.
以补偿增强后信号的能量损失和频谱失真为目的，浅谈了几种语音补偿可实现的算法及设想。
And to compensate the enhanced signal's energy loss and spectrum distortion, several reasonable schemes of Speech compensation are touched upon in the paper.
实验表明，算法对于有色噪声干扰下的语音信号有较好的增强效果，并且性能优于改进减谱法。
Simulation results show that this algorithm demonstrates better performance than modified spectrum subtraction algorithm both in thee nvironment of white or colored noise.
并且DLMS算法应用在自适应波束形成系统时，能达到使期望信号增强，同时将干扰信号抑制的目的。
So using of the adaptive beamforming DLMS system can reach to the desired signal enhancement, for the purpose of nulling interference signals.
本文介绍了一种利用DSP构建的基于自适应滤波算法的语音信号增强处理系统。
In this paper, a system of speech enhancement using DSP is discussed based on self-adaptive algorithm.
为了增强水印信号的安全性，采用了基于混沌和位平面的水印加密算法。
In order to enhancing the security of the watermark, we employ an encryption technology based on chaos and bit plan.
该算法将相邻两个细尺度层上的小波变换系数对应相乘，从而增强了信号在突变点处的特征并抑制了噪声的影响。
The algorithm, which multiplies the corresponding wavelet coefficients of adjacent fine scales, enhances the feature of discontinuity point of signals and inhibits the effect of noise signals.
为了增强情感识别过程中皮肤电反应(GSR)信号特征选择的有效性，提出了一种改进的模拟退火免疫粒子群算法。
An improved immune particle swarm optimization was presented in this study in order to increase the effectiveness of feature selection for emotion recognition based on Galvanic Skin Response (GSR).
为了增强情感识别过程中皮肤电反应(GSR)信号特征选择的有效性，提出了一种改进的模拟退火免疫粒子群算法。
An improved immune particle swarm optimization was presented in this study in order to increase the effectiveness of feature selection for emotion recognition based on Galvanic Skin Response (GSR).
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