Method for signal decomposition and denoising based on nonuniform cosine-modulated filter banks

Xie, Xuemei; Li, Li; Shi, Guangming; Peng, Bin

doi:10.1016/j.pnsc.2008.05.008

Cited by 2 publications

(1 citation statement)

References 10 publications

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“…Given the minimum width of guard-band, the method mentioned in [ 5 ] can theoretically realize dynamic channelization. A nonuniform FB obtained by merging the corresponding filters of a uniform cosine modulated filter bank (CMFB) is proposed in [ 6 ]. However, all the methods mentioned above do not give a way to detect the existence of signal.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Digital Channelizer Based on Spectrum Sensing

Zuo

Huang

et al. 2015

PLoS ONE

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The ability to efficiently channelize a received signal with dynamic sub-channel bandwidths is a key requirement of software defined radio (SDR) systems. The digital channelizer, which is used to split the received signal into a number of sub-channels, plays an important role in SDR systems. In this paper, a design of dynamic digital channelizer is presented. The proposed method is novel in that it employs a cosine modulated filter bank (CMFB) to divide the received signal into multiple frequency sub-bands and a spectrum sensing technique, which is mostly used in cognitive radio, is introduced to detect the presence of signal of each sub-band. The method of spectrum sensing is carried out based on the eigenvalues of covariance matrix of received signal. The ratio of maximum-minimum eigenvalue of each sub-band is vulnerable to noise fluctuation. This paper suggests an optimized method to calculate the ratio of maximum-minimum eigenvalue. The simulation results imply that the design of digital channelizer can effectively separate the received signal with dynamically changeable sub-channel signals.

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Section: Introductionmentioning

confidence: 99%

Dynamic Digital Channelizer Based on Spectrum Sensing

Zuo

Huang

et al. 2015

PLoS ONE

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Design of Digital Channelizer Based on Source Number Estimation

Huang

Liu

et al. 2015

J CIRCUIT SYST COMP

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Digital channelizer is used to separate the sub-band signals contained within a wideband intermediate frequency (IF) received signal. This paper presents a structure of digital channelizer which is built upon estimation of the sub-band signal number. The proposed structure is designed by employing nonuniform filter banks (NUFBs), which are implemented by merging the adjacent sub-branches of the perfect reconstruction (PR) cosine modulated filter banks (CMFBs). Using source number estimation algorithm, the estimated value of sub-band number can be obtained. By energy detection, the energy characteristic of the analysis filter banks (AFBs) can be acquired and another value of sub-band number is calculated. Comparing the estimated value and the calculated one, we can evaluate whether the design of the AFB is suitable for the received signal. The structure of digital channelizer proposed by this paper provides a potential way to channelize the unknown signal and suggests a solution for the dynamic channelizaiton. A design example is also presented to demonstrate the feasibility and simplicity of this method.

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Method for signal decomposition and denoising based on nonuniform cosine-modulated filter banks

Cited by 2 publications

References 10 publications

Dynamic Digital Channelizer Based on Spectrum Sensing

Dynamic Digital Channelizer Based on Spectrum Sensing

Design of Digital Channelizer Based on Source Number Estimation

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