- 更多网络例句与信号分离相关的网络例句 [注：此内容来源于网络，仅供参考]
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The main job and contribution of this paper are as follows:Based on narrowband signal processing, we propose a new method for FH signal blind detection and blind parameter estimation. Firstly, compute the cross-correlation function of FH signals from multichannels, then we get the cross power spectral density matrixCSDM Secondly, select the hops of FH signals from the CSDM via processing and analyzing the CSDM, meanwhile reduce the influence coming from noise, fixed frequency signal and other interferences; Lastly, estimating the DOA of every hop and according to the DOA, we can separate the hops, get the number of FH signals and their parameters. Propose a new method for designing the threshold in FH signal detection. This method makes it easy to get the threshold by theoretic computing and it can extremely reduce the interference of non-FH signals.Based on broadband signal processing, we propose a new method for FH signal blind detection and blind parameter estimation. Firstly, get the DOA of the signals by wideband spatial spectrum estimation; secondly, separate the signals by spatial filtering using wideband beamformer; Lastly, we propose two methods for FH signal blind detection and blind parameter estimation, one is for several constant hop-rate FH signals whose dwell-time are different and another is for a single FH signal whose hop-rate is alterable.By employing spatial interpolation in broadband signal beamforming, it can reduce the number of antenna elements and corresponding RF modules, A/D converters, etc. It can also eliminate the mutual coupling between antenna elements while getting the narrower main beamwidth and lower sidelobe level.
本文的主要研究工作和贡献如下：●提出了一种基于窄带处理的FH信号盲检测和参数盲估计的实现方法，即首先求出多路信号之间的互相关，进而得到互功率谱密度矩阵，然后通过对CSDM进行对折处理来抑制噪声、定频信号及其他干扰的影响，并将所有属于FH信号的hop(每一跳的驻留时间在时频图上持续的线段)从CSDM中筛选出来，最后用阵列信号处理中的到达方向估计理论在频域中估计出各个hop的方向参数，利用方位信息完成FH信号分离并得到FH信号的数目及其各自的参数集；●提出了一种确定FH信号检测门限的策略，该策略不仅使得检测门限能够通过理论计算得到，而且还显著地抑制了非跳频信号的干扰，从而能有效地检测出FH信号；●提出了一种基于宽带处理的短波FH信号盲检测和参数盲估计的实现方法，即首先利用宽带空间谱测向技术得到接收信号的DOA，然后采用宽带波束形成技术对特定方向进行空间滤波，实现多个信号的分离，最后分别提出了两种FH信号的盲检测和参数盲估计方法，第一种方法适用于空间某个特定方向上存在着几个驻留时间不同的恒跳速FH信号和其他干扰信号的混合信号，第二种方法适用于空间某个特定方向上仅含一个可变跳速的FH信号和噪声的混合信号；●将空间插值的概念和宽带波束形成技术结合起来，提出了一种基于频域处理的宽带恒定束宽的波束形成方法。
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In addition, the algorithm uses a non-orthogonal joint diagonalization method to get the separation matrix, which can be used for Gaussian or correlated signals and so enlarge the hypothetic condition of BSS.
另外，算法采用非正交联合对角化方法求取分离矩阵，可以实现高斯信号源或相关信号源的盲分离，从而扩展了盲信号分离的基本假设条件。
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The problem of overdetermined Blind Source Separation where there are more mixtures than sources is considered.
摘要该文研究超定盲信号分离，即观测信号个数不少于源信号个数情况下的盲信号分离问题。
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It is difficult to insure globe convergence for regular BSS algorithms because they are easily trapped into local optimum, which can result in error of separation. This research associates genetic algorithm with traditional BSS and uses global optimize feature of genetic algorithm.
针对多数盲分离算法在多峰值情况下易陷入局部最优，难以保证全局收敛而导致分离误差的缺陷，文章将遗传算法与传统盲信号分离算法相结合，把全局收敛性能较好的遗传算法引入信号分离算法的寻优过程。
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We focus our research on adaptive BSS problem, searching for simple and effective adaptive BSS algorithms and applying them to different BSS problem. BSS research could be done in many way according to their different mixing mode (such as temporary mixing, convolutive mixing or nonlinear mixing), different signal character (such as stationary or non-stationary signals, narrow-band or broad-band signal), and different proceeding methods i.e.
根据信号间不同的混合方式（如瞬态线性混合、卷积混合或非线性混合等）、信号本身的不同属性（如平稳信号或非平稳信号、窄带信号或宽带信号等）、以及对信号不同的处理方式（如时域、频域或时频域处理）等，盲信号分离研究可以在多方面展开。
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Secondly, resorting to the relative gradient, it is shown that the natural gradient learning algorithm for overdetermined BSS has the same form as that for usual complete BSS, which is verified by simulation results.
此后，借助于相对梯度的概念，证明超定盲信号分离与通常的完备盲信号分离具有相同形式的自然梯度算法。仿真试验验证了算法的有效性。
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By singular value decomposition of the separating matrix, we present a novel independent-component-analysis -based contrast function for BSS, which is a generalization of the existing determined and overdetermined ones.
首先从分离矩阵的奇异值分解出发，提出一种新的基于独立分量分析的盲信号分离对比函数，它是现有的正定和超定盲信号分离对比函数的推广。
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Resorting to the relative gradient, we show that the natural gradient algorithm for overdetermined BSS has the same form as that for usual complete BSS.
然后，借助于相对梯度严格证明，完备盲信号分离的自然梯度算法同样适用于超定盲信号分离问题。
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Based on this, aim at the disadvantage on Wigner Distribution and Fractional Fourier Transform that can't restrain noise interference effectively when be used to detect Linear Frequency Modulated signals interfered by heavy noises, we proposed a improved WD. Simulation results show that this method can restrain noise interference effectively and improve the ability of LFM signals detection. On the other hand, in multi-component cases, WD suffers from the cross-terms, which may impair some of the auto-terms. In order to separate original multi-component signals into components and reconstruct them separately, we can use the method of optimal filtering in fractional Fourier domain. But this method also has a problem that if signals have aliasing in the fractional Fourier optimal domain as well, the reconstructed signals will be distorted. In this thesis, a novel method of quasi Fourier transform is proposed in order to solve the problem of multi-component signal reconstruction, and have good results.
在此基础上，针对Wigner分布和分数维傅里叶变换在处理高噪声背景下线性调频信号检测的问题时存在不能有效抑制噪声干扰的缺点，提出了改进Wigner分布的办法，该方法能够抑制噪声，提高信号的检测能力；针对Wigner分布在处理多分量非线性调频信号时存在干扰项的缺点，以及分数域最优滤波方法在处理多分量非线性调频信号分离重构问题时存在的局限性，该局限性表现为在对最优分数域上也有信号分量重叠的情况进行处理时重构信号发生畸变，提出了新颖的类傅里叶变换的方法，该方法对在最优分数域上也有信号分量重叠的情况也能处理，得到的重构信号失真很小。
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The apparatus comprises a first RF switch separating a received signal into N communication services; M diplexers associated with the communication services, for separating a signal received from the first RF switch into a call signal and a TV signal; a second RF switch for applying the TV signal received from the diplexers to a TV tuner; and a controller for controlling an overall operation of the multimode mobile phone and controlling the first RF switch and the second RF switch according to the received signal.
该设备包括第一射频开关，用于将所接收到的信号分离成N个通信服务；M个双工器，该M个双工器与通信服务相关，用于将从第一射频开关所接收到的信号分离成呼叫信号和电视信号；第二射频开关，用于将从双工器所接收到的TV信号提供给TV调谐器上；以及控制器，用于对多模式移动式电话的整个操作进行控制并且根据所接收到的信号来控制第一射频开关和第二射频开关。
- 更多网络解释与信号分离相关的网络解释 [注：此内容来源于网络，仅供参考]
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chrominance signal bunches：彩色信号谱线束
chrominance separation circuit | 彩色信号分离电路 | chrominance signal bunches | 彩色信号谱线束 | chrominance signal component | 彩色[色度]信号分量
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comb filter：梳形滤波器
■Video Decoder:传统NTSC/PAL/SECAM等TV信号采取复合波形输入,Video Decoder内含梳形滤波器(Comb filter)功能,可以将复合端子(Composite、CVBS)、S端子或色差端子(YpbPr/YUV)所输入的模拟信号分离,内含多组ADC将它转换为数字信号.
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decouple：分离
就时序而言,该小组还需要将并行输入介面从串列介面中分离(decouple)出来. 资料将不会在方便的、正常的时钟间隔进入,而是在微控制器"觉得想要"发送时才会到达. 对一个读出操作,当资料恰好沿一个错误方向行进时,则仍需要将控制信号送到相反方向.
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discrete signal：分离信号
随机信号 random signal | 分离信号 discrete signal | 超声传感器 ultrasonic sensor
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Kurtosis：峰态
就一种基于信号峰态(kurtosis)极值化的盲信号分离方法进行了探讨.首先介绍算法理论,然后提出了一种简化快速的最速下降算法,解决了收敛指向性的问题,并将对混合语音信号的分离扩展到混合图像信号的分离.实验结果表明,
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signal reshaping：信号再生、信号重新形成
signal regeneration 信号再生、信号重新形成 | signal reshaping 信号再生、信号重新形成 | signal separator 信号分离器
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signaller：信号机
信号分离demultiplex | 信号机signaller | 信号交换handshaking
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Splitter：分离器
在信号调制技术上,ADSL调制解调器分别采用CAP和DMT技术:ADSL主要采用CAP、DMT两种调制方式,其区别在于发送数据的方式,但要求用户端安装POTS 分离器(splitter)以分隔电话信号和数据信号,实现在同一条电话线上同时进行Internet接入和电话精力,
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chrominance signal bunches：彩色信号谱线束
chrominance separation circuit || 彩色信号分离电路 | chrominance signal bunches || 彩色信号谱线束 | chrominance signal component || 彩色[色度]信号分量
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vacuum sensing line：真空信号输送管
vacuum seasoning ==> 真空干燥,真空干燥法 | vacuum sensing line ==> 真空信号输送管 | vacuum separation ==> 真空分离