环移SG自适应滤波器及其在交叠的周期性生物电信号分离中的应用

本文提出了一种适用于交叠周期信号的周期检测和信号分离的环移StopGo(SG,停止-进行)自适应数字滤波器。该滤波器对周期信号在频域的交叠程度没有任何要求。除假设已知要分离的周期信号的周期的大致范围外,不需其他先验知识。因而它提供了一种分离时域和频域都互相交叠的周期信号的有效可行的方法。文章从理论上讨论了该滤波器的收敛条件和各参数的选取要求,并提出了一种较实用的粗精度周期搜索和通道自动关闭算法,减少了计算量。实验证明该滤波器对各种不同初始相位、不同相对幅度的周期信号交叠而成的信号均能有效地分离。     

环移S＆G自适应滤波器及其在交叠的周期性生物电信号分离中的应用

本文提出了一种适用于交叠周期信号的周期检测和信号分离的环移Ｓｔｏｐ＆Ｇｏ自适应数字滤波器，该滤波器对周期信号在频域的交叠程序没有任何要求，除假设书籍要分离的周期信号的周期的大致范围外，不需其他先验知识，因而它提供了一种分离时域和频域都互相交叠的周期信号的有效可行的方法，文章从理论讨论了该滤波器的收敛条件和各参数的选取要求，并提出了一种较实用的粗精度周期搜索和通道自动关闭算法，减少了计算量，实验证明     

基于时频图像处理方法的多分量信号分离

针对传统时域或频域分析方法对时域、频域交叠但时频域不交叠的多分量信号分离能力不足的问题,提出了一种基于图像处理技术的分离方法.首先对多分量信号进行短时傅里叶变换(STFT),在获取多分量信号时频图像的基础上,引入图像处理技术,实现时频图像二值化,得到多分量信号的二值图像,并利用连通区域标记法对各分量进行定位;最后利用透分量消除法,将定位后的各分量依次提取出来,从而实现时频平面上的各分量分离.仿真实验表明,该方法能够实现多分量信号的有效分离,为后续信号的识别和参数估计奠定了基础.     

基于FRESH算法的宽带干扰抑制技术

基于周期维纳滤波理论的LCL-FRESH(Linear-Conjugate-Linear-FREquency-SHift)滤波器,利用了信号在频域的谱相关性,分离时域交叠信号,可有效地抑制直接序列扩频系统当中的宽带干扰。该滤波算法的效果不会随干扰增强而下降,同时还能利用干扰的谱相关性进一步提高滤波的性能。此外,仿真结果也进一步表明,在干扰与信号有载波偏移的情况下滤波性能更好。     

混叠周期信号的自适应分离

本文采用脉冲相关自适应滤波器,较成功地分离了周期极其接近而且在频域有混叠的信号。当信号叠加有白噪声时,这种算法同时具有滤波器的功能.此算法采用多个周期不同的脉冲串作为参考信号进行多信道处理,首先使用均方误差准则准确搜索被分离的周期信号的周期.文中证明了当参考信道中脉冲信号的周期与原始输入中某一信号的周期相同时,其自适应滤波器输出即是该周期的信号.因此我们使用脉冲相关自适应滤波器成功地分离了混叠的周期信号.在实验中我们使用了变μ自适应滤波技术以加快收敛速度及减少收敛后的失调。     

宽带恒定束宽盲波束形成算法

针对传统盲源分离算法对宽带阵列信号适用性较差的问题,提出一种基于时频分析的宽带恒定束宽盲波束形成算法。该算法首先将接收信号变换到时频域上并提取出单源点。然后,对单源点聚类并求解信号在不同频点上的导向矢量。最后,通过提出一种信号来向未知的空间响应变化约束方法,实现宽带恒定束宽盲波束形成。该算法避免了将宽带盲波束形成转换为卷积混合的盲源分离,因而不存在时域盲源分离算法中系统参数随滤波器阶数急剧增加的问题,也不存在频域算法中排序和幅度模糊的问题。仿真结果表明,算法能够较好地实现宽带信号的盲分离,且输出信干噪比高于时域、频域以及时频域盲源分离算法,实测数据的处理结果验证了该算法的实用性。      

基于时频域联合滤波的中段群目标信号分离

该文针对中段群目标回波信号分离问题,提出了基于时频域联合滤波的信号分离算法.该算法首先基于自相关原理估计出某一目标的微动周期;然后根据所估计周期对回波进行分段,利用S变换提取各段信号在时频域的强能量区域,各段信号强能量区域的交集即对应了某一目标在时频面上的支撑域.基于该支撑域对回波进行时频域联合滤波即可得到某一目标的回波信号,实现回波信号的分离.仿真结果验证了该文所提算法的有效性.      

振荡器噪声的时—频域滤波

原子钟是振荡器的一种，害虫律谱模型是描述原子钟噪声最典型的模型之一，幂律谱模型中的各项具有鲜明的物理意义，将振荡器噪声按其产生的物理机制进行分解，可以对振荡器频率漂移和相位抖动进行实时控制。本文从小波变换的基本原理出发，设计了一种用于噪声分离的时－频域滤波器。这种滤波器可在时频域将信号按不同特征进行滤波，与经典的滤波器相比，在信的时－频域滤波器。     

基于MATLAB的FIR滤波器的设计

基于MATLAB信号处理工具箱,设计一种滤波器,针对信号的分离和滤除,要求有良好的幅频特性和线性相位特性,且可通过参数来改变其主瓣宽度和旁瓣衰减。提出基于窗函数法设计滤波器,加入信号源,利用FDATool设计和分析模块电路,经过Simulink仿真,对其进行时域、频域分析和滤波。实验结果表明,本设计方法能够有效的滤除无...     

振荡器噪声的时─频域滤波

原子钟是振荡器的一种，幂律谱模型是描述原子钟噪声最典型的模型之一，幂律谱模型中的各项具有鲜明的物理意义，将振荡器噪声按其产生的物理机制进行分解，可以对振荡器频率漂移和相位抖动进行实时控制。本文从小波变换的基本原理出发，设计了一种用于噪声分离的时－频域滤波器。这种滤波器可在时频域将信号按不同特征进行滤波，与经典的滤波器相比，在信号空间上不但是相互正交的，而且这个滤波器的结果是唯一的。最后举例说明这种滤波器的应用。     

LOOP-SHIFT S&G ADAPTIVE FILTER AND ITS APPLICATION IN SEPARATION OF OVERLAPPED PERIODIC BIOMEDICAL SIGNALS

A Loop-Shift Stop & Go Adaptive Filter(LSSGAF) with applications in period detection and signal separation of overlapped periodic signals is presented. The filter places no constraints on the overlapped forms in frequency domain and requires no priori knowledge except for approximate period range of signals to be separated, therefore it provides for an efficient and feasible method to separate periodic signals overlapped both in time and frequency domains. The convergence conditions of the filter and the requirements of all parameter selections are discussed, meanwhile a rough scanning and channel auto-shut algorithm is proposed to reduce the amount of calculation in the searching stage. Experiments show that the filter can separate all kinds of overlapped periodic signals with different initial phases and different relative magnitudes.     

Windowed overlapped frequency domain block filtering approach for direct sequence signal acquisition

This study applies a windowed frequency domain overlapped block filtering approach to acquire direct sequence signals. As a novel viewpoint, the windows not only allow pulse shaping without front-end pulse-shaping filter, but also increase the performance of the spectrum sensing unit, which can efficiently be implemented into this frequency domain receiver and may further be used for spectrum sensing in cognitive radios or narrowband interference cancellation in military radios. The proposed receiver is applicable for the initial time synchronization of different signals containing a preamble. These signals include single carrier, constant envelope single carrier, multicarrier, and even generalized multicarrier signals, making the proposed receiver structure a universal unit. Furthermore, the receiver can be used to perform filtering with long codes and compute the sliding correlation of an unknown periodic preamble. The receiver can further be modified to handle large Doppler shifts. We will also demonstrate herein the computational complexity and analysis of the acquisition performance in Rayleigh and Rician fading channels.     

消除采样累加过程中的周期性噪声对DTS精度的影响

分布式光纤测温系统中不仅有白噪声干扰,还有周期性噪声干扰,而传统的采样累加平均方法仅能消除白噪声干扰。提出一种在采样累加过程中对采样周期内各点累加的方法,判断和滤除采样周期内的周期性信号。测温实验结果表明,通过在累加过程中设置判据消除周期性噪声,分布式光纤测温系统的精度得到了大幅提高。     

Versatile universal voltage-mode filter employing DDCCs

A new versatile universal voltage-mode biquad with three inputs and five outputs using only two differential difference current conveyors (DDCCs), two grounded capacitors, and three resistors is proposed. The proposed configuration which can be used as either a single-input five-output filter or three-input two-output filter and which can simultaneously realize all five different generic filtering lowpass, bandpass, highpass, bandstop, and allpass signals is unlike the previously reported works and still enjoys (i) the employment all grounded capacitors, (ii) no need to employ inverting-type input signals, (iii) orthogonal control of the resonance angular frequency and the quality factor, (iv) simultaneous realization of lowpass, bandpass, highpass, bandstop, and allpass responses for the single-input five-output filter, and (v) no need to impose component choice to realize all five generic responses for the three-input two-output filter.     

Separation of micro-Doppler signals based on time frequency filter and Viterbi algorithm

Micro-Doppler (m-D) effect is potential useful in radar target detection, recognition, and classification. While the m-D signals are always multicomponent, it is important to separate the m-D signals for feature extraction. This paper introduces a separation algorithm based on time-frequency filter (TFF). When the m-D multicomponent signals are always overlapped in TF plane, Viterbi algorithm on time-frequency distribution is used to firstly estimate the instantaneous frequencies, then an automatic TFF is designed to filter and synthesize the interesting m-D signal. Simulation results show that the proposed algorithm can effectively extract the m-D signals even in a relatively high noise environment.     

Short-time Fourier analysis via optimal harmonic FIR filters

The Fourier coefficients (FCs) of quasiperiodic signals are assumed to be in random walk motion in order to represent a broader class. A state model for such quasiperiodic signals is derived. The optimal short-time estimate of the Fourier coefficients is obtained via the suggested optimal harmonic FIR filter (OHFF) based on this state-space signal model. The optimal harmonic FIR filter can be considered to be a generalization of the discrete Fourier transform (DFT) in the sense that it becomes the same as the DFT when the state model is for periodic signals and the filter length is equal to the order of the state model. The optimal harmonic FIR filter derived from the model, even with nonzero state noise and measurement noise, gives an exact harmonic estimate when an incoming signal is periodic and noiseless. It is shown by examples that the ability to suppress noise and the ability to resolve changes of the Fourier coefficients can be adjusted by the filter length and the noise covariance of the state model. Finally, the suggested scheme is compared with existing short-time Fourier analysis methods in a test signal that has time-varying Fourier coefficients     

Minimal realization for lifted periodic filters

Practical applications in signals and systems often deal with lifted models of periodic digital filters, to which well-known methods and computing software for linear time-invariant (LTI) systems can be applied in the analysis and synthesis of periodic filters. When the design of a periodic filter is based on the lifted model, the resultant filter is usually in the lifted LTI form and needs to be further converted into the periodic form for implementational and computational purposes. In this paper, we present a computational procedure for obtaining a minimal realization of periodic digital filters from the fifted model.This work was supported by the Australian Research Council.     

Filters and filter banks for periodic signals, the Zak transform,and fast wavelet decomposition

We present a new approach to filtering and reconstruction of periodic signals. The tool that proves to handle these tasks very efficiently is the discrete Zak transform. The discrete Zak transform can be viewed as the discrete Fourier transform performed on the signal blocks. It also can be considered the polyphase representation of periodic signals. Fast filtering-decimation-interpolation-reconstruction algorithms are developed in the Zak transform domain both for the undersampling and critical sampling cases. The technique of finding the optimal biorthogonal filter banks, i.e., those that would provide the best reconstruction even in the undersampling case, is presented. An algorithm for orthogonalization of nonorthogonal filters is developed. The condition for perfect reconstruction for the periodic signals is derived. The generalizations are made for the nonperiodic sequences, and several ways to apply the developed technique to the nonperiodic sequences are considered. Finally, the developed technique is applied to recursive filter banks and the discrete wavelet decomposition     

周期介质结构传输特性的严格模匹配分析

用严格模匹配与多模网络理论相结合的方法,对几种周期介质结构的传输特性进行了深入的分析．包括两种有限长周期介质镜像波导滤波器;一种有限长变周期无辐射介质波导滤波器;一种无限长周期部分介质填充的矩形波导．实验结果表明该方法是精确有效的．