The algorithm is composed of an impedance filter with an adaptive control method and a robust position control method based on Time-Delay Estimation ( TDE ) which can overcome the uncertainty of the environment position and dynamics of the finger respectively .
控制方法包括带有自适应方法的阻抗控制器和基于时间延迟估计( TDE)的鲁棒位置控制方法,可以分别克服环境位置的不确定性和消除手指动力学方程的不确定性。
Based on the deep research of time delay estimation algorithm a new spectrum data TDE algorithm based on cooperant signal is put forward . The simulation results show the new algorithms have better performance .
对时延估计理论和算法进行深入研究,提出了一种基于合作信号的相位数据 时延 估计算法,仿真结果证明该算法具有很好的 时延 估计性能。
The problem of time delay estimation ( TDE ) with multipath transmissions arises often in many sonar systems .
多途 时延估计问题经常出现在不同的声呐系统中。
Focused on the application of the generalized cross correlation ( GCC ) time delay estimation ( TDE ) algorithm in the car microphone array denoising system GCC TDE algorithm is analyzed theoretically and compared with High Rank Cumulation TDE .
针对汽车环境中麦克风阵列语音去噪系统的应用,对广义相关 时延估计方法进行了仿真,并与基于高阶累积量的时延估计方法作了比较分析。
The TDE method in passive wireless location is the key part and its precision and efficiency directly affect the performance of the locating system . Therefore doing the research thoroughly to it has important significance in both theory and application .
而被动定位中的 时间 延迟 估计方法是定位中的关键部分,其精度和效率直接影响着整个定位系统的性能,所以对其进行深入的研究具有重要的理论意义和应用价值。
CONCLUSION : This new TDE method can detect instantaneous latency changes of SEP so it can be used to observe diseases of central nervous system dynamically .
1000mL/LO 供给 条件下,SEP潜伏期变化又 逐渐 趋向 零 附近。 2结论:这种新的 TDE方法可以动态检测SEP的瞬态潜伏期变化,从而可以动态观察中枢神经系统病变的动态变化。
A method for identifying outliers in data observed from sonars The Time Delay Estimation ( TDE ) is very important in passive ranging sonars .
声呐测量数据中异常值的辨识方法被动测距声呐中的关键技术问题是对两对水听器所接收信号的时间差进行估计。
Array design and time delay estimation ( TDE ) algorithm are two key technologies of the whole research .
阵型的 选择和时延估计算法的研究是 被动 声 探测中两个关键技术。
In this paper some experiments are done to test the typical TDE theories which are fatal to the detection and bearing estimation .
在论文中,对典型的 时延 估计 方法做了研究和模拟实验。
Time-delay estimation ( TDE ) has wide application in radar sonar medical treatment communication and other fields . It is an active important research area in digital signal processing .
时间延迟估计在雷达、声纳、医疗及通信等领域得到了非常广泛的应用,而且时间 延迟估计也是数字信号处理领域一个十分活跃和重要的研究课题。
As for noise of the helicopter detected in actual flying and of the missile TDE have been calculated with different sample length in different sampling rate . A result has been obtained that the accuracy of TDE will be higher when cross spectrum is more accurate .
对实测直升机飞行噪声和导弹噪声计算了不同取样长度和不同采样率下的时延估计,得出了谱分辨率越高, 时延估计精度越高的结论。
Simulations are carried out to compare the performance of the proposed algorithm with that of other subsample TDE algorithms .
文中通过一系列仿真实验对该方法与其他分数 延时 估计方法的性能进行比较。
The performance of the frequency domain adaptive TDE algorithm is analyzed .
分析了频域自适应 时延 估计 算法的性能,给出了算法 收敛 的 条件。
The conception of time-delay error ( TDE ) is brought forward and the impacts of TDE to NDMS are discussed .
提出了动态测量时滞误差( TDE)的概念,讨论了TDE对动态测量误差处理结果的影响。
Underwater location of the air source by TDE
利用 时延 估计对空中 声源水下定位的 研究
As he realized that his mother wasn 't changing her mind and the TDE started to crackle more he knew that it was too late .
当 时间 机器 能量 罩上的 裂痕和闪电越来越多,他知道太晚了,他意识到他的母亲不会跟着他。
The result showed that the properties of TDE-85 epoxy resin and composite materials were very high .
并 测定了 浇铸 体 及其复合材料的各项性能,结果表明, TDE - 85环氧树脂及其复合材料具有优异的综合性能。
The main content of this thesis is about time delay estimation ( TDE ) in passive wireless location .
本文的主要研究内容为无线电被动定位技术中的时间延迟估计( Time Delay Estimation, TDE)问题。
Mechanical properties of S 2 / TDE 85 ( S 2 glassfiber / Epoxy ) unidirectional laminate after natural storing and accelerated hydrothermal aging was studied .
本文对 高强2号玻璃纤维(S2)增强环氧( TDE85-MCD体系)基复合材料单向板经自然库存与加速湿热老化后力学性能的变化进行了研究。
The theory and algorithm for low altitude target localization based on time delay estimation ( TDE ) is studied .
研究了基于 时延估计的低空目标 声 测 无源定位理论与算法。
Firstly the TDE ( Time Delay Estimation ) model in ultrasonic distance measurement is established and then a novel method appropriate for ultrasonic distance measurement based on power-cepstrum is presented .
首先建立了超声测距时延估计模型,然后提出了一种适用于超声测距的基于功率倒谱的 时延估计新方法。
Finally some relevant research directions and future prospects and applications in video understanding and retrieval were also discussed .
最后,本文还指出了 TDE算法研究的发展方向及在视频理解与检索中的应用前景。
Noise is one of the main problems in TDE .
噪声是 TDE 需要 考虑的主要问题之一。
TDE algorithms mainly include the cross-correlation ( CC ) generalized cross-correlation ( GCC ) the adaptive least mean square ( LMS ) etc.
现有的算法主要包括相关、广义互相关方法、自适应最小均方方法等。
In uncompressed domain text event detection candidate text area extraction non-text area filtering character separation and video OCR were analyzed respectively .
在非压缩域视频中文字的检测与提取( TDE)方面,本文着重研究了文字事件检测、候选文字区域的检测与分割、非文字区域滤除、单字分割以及视频文字识别(VideoOCR)等内容。
Time Delay Estimation ( TDE ) and Voice Activity Detection ( VAD ) are two key parts in most kinds of array speech enhancement methods and their performance directly affect the results of speech enhancement .
因此, 本文主要 研究 基于麦克风阵列的语音增强方法。时延估计和语音活动检测( VoiceActivityDetection,简称VAD) 技术是阵列增强的重要组成部分,其准确性直接影响到语音增强效果。
This paper details TDE ( time-delay estimation ) and post-processing .
本文 主要在时延估计算法与 定位后置处理 两方面进行 研究。
A Wiener weighting based frequency domain adaptive TDE approach is studied .
研究了基于维纳加权的频域自适应 时延 估计 算法,对算法的 性能进行了 理论分析。
As for the line spectral feature of most target HHT was used in feature extraction and time-frequency analysis . Moreover one high precision algorithm was brought forward to solve the low frequency line spectrum TDE .
针对常见目标信号都具有的低频线谱特征提出利用希尔伯特黄变换(HHT)进行特征谱提取和时频分析,并提出一种高精度的 线谱 信号 时延 估计 方法。
The generalized cross-correlation ( GCC ) is the most commonly used method for time delay estimation ( TDE ) . In this technique the delay estimated is obtained as the time-lag that maximizes the cross-correlation between filtered versions of the received signals .
广义互相关法(GCC)是 时延估计中最常用的方法,该方法中,时延的估计值就是两路接收信号经滤波做互相关后最大峰值所对应的时间点。
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