Application of Time-Varying Filter in Time-Frequency Resource Allocation

A new signal processing method for phase difference estimation was proposed based on time-varying signal model, whose frequency, amplitude and phase are time-varying. And then be applied Coriolis mass flowmeter signal. First, a bandpass filtering FIR filter was applied to filter the sensor output signal in order to improve SNR. Then, the signal frequency could be calculated based on short-time frequency estimation. Finally, by short window intercepting, the DTFT algorithm with negative frequency contribution was introduced to calculate the real-time phase difference between two enhanced signals. With the frequency and the phase difference obtained, the time interval of two signals was calculated. Simulation results show that the algorithms studied are efficient. Furthermore, the computation of algorithms studied is simple so that it can be applied to real-time signal processing for Coriolis mass flowmeter.

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Applying graph-theoretic approach for time-frequency resource allocation in 5G MmWave backhaul network

2016 Advances in Wireless and Optical Communications (RTUWO) ◽

10.1109/rtuwo.2016.7821888 ◽

2016 ◽

Cited By ~ 1

Author(s):

Vladimir M. Vishnevsky ◽

Andrey A. Larionov ◽

Roman E. Ivanov ◽

Maxim Dudin

Keyword(s):

Resource Allocation ◽

Theoretic Approach ◽

Time Frequency ◽

Graph Theoretic ◽

Graph Theoretic Approach

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Distributed resource allocation via multi-agent systems under time-varying networks

Automatica ◽

10.1016/j.automatica.2021.110059 ◽

2022 ◽

Vol 136 ◽

pp. 110059

Author(s):

Kaihong Lu ◽

Hang Xu ◽

Yuanshi Zheng

Keyword(s):

Resource Allocation ◽

Time Varying ◽

Multi Agent Systems ◽

Distributed Resource Allocation ◽

Agent Systems ◽

Time Varying Networks ◽

Multi Agent

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Time-Frequency Processing of Time-Varying Signals with Nonlinear Group Delay

Wavelets and Signal Processing ◽

10.1007/978-1-4612-0025-3_10 ◽

2003 ◽

pp. 311-359 ◽

Cited By ~ 1

Author(s):

Antonia Papandreou-Suppappola

Keyword(s):

Group Delay ◽

Time Varying ◽

Time Frequency ◽

Frequency Processing

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Wavelet multi-resolution approximation of time-varying frame structure

Advances in Mechanical Engineering ◽

10.1177/1687814018795596 ◽

2018 ◽

Vol 10 (8) ◽

pp. 168781401879559 ◽

Cited By ~ 2

Author(s):

Min Xiang ◽

Feng Xiong ◽

Yuanfeng Shi ◽

Kaoshan Dai ◽

Zhibin Ding

Keyword(s):

Parameter Estimation ◽

Degrees Of Freedom ◽

Structural Parameters ◽

Identification Problem ◽

Frame Structure ◽

Structural Parameter ◽

Time Varying ◽

Engineering Structures ◽

Time Frequency ◽

Non Parametric

Engineering structures usually exhibit time-varying behavior when subjected to strong excitation or due to material deterioration. This behavior is one of the key properties affecting the structural performance. Hence, reasonable description and timely tracking of time-varying characteristics of engineering structures are necessary for their safety assessment and life-cycle management. Due to its powerful ability of approximating functions in the time–frequency domain, wavelet multi-resolution approximation has been widely applied in the field of parameter estimation. Considering that the damage levels of beams and columns are usually different, identification of time-varying structural parameters of frame structure under seismic excitation using wavelet multi-resolution approximation is studied in this article. A time-varying dynamical model including both the translational and rotational degrees of freedom is established so as to estimate the stiffness coefficients of beams and columns separately. By decomposing each time-varying structural parameter using one wavelet multi-resolution approximation, the time-varying parametric identification problem is transformed into a time-invariant non-parametric one. In solving the high number of regressors in the non-parametric regression program, the modified orthogonal forward regression algorithm is proposed for significant term selection and parameter estimation. This work is demonstrated through numerical examples which consider both gradual variation and abrupt changes in the structural parameters.

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Dynamic Beam Hopping Time Slots Allocation Based on Genetic Algorithm of Satellite Communication under Time-Varying Rain Attenuation

Electronics ◽

10.3390/electronics10232909 ◽

2021 ◽

Vol 10 (23) ◽

pp. 2909

Author(s):

Chen Zhang ◽

Jiangtao Yang ◽

Yong Zhang ◽

Ziwei Liu ◽

Gengxin Zhang

Keyword(s):

Genetic Algorithm ◽

Resource Allocation ◽

Satellite Communication ◽

Rain Attenuation ◽

Time Varying ◽

Dynamic Allocation ◽

Satellite Systems ◽

Flexible Resource ◽

Conventional Methods ◽

High Level

Beam hopping technology is considered to provide a high level of flexible resource allocation to manage uneven traffic requests in multi-beam high throughput satellite systems. Conventional beam hopping resource allocation methods assume constant rainfall attenuation. Different from conventional methods, by employing genetic algorithm this paper studies dynamic beam hopping time slots allocation under the effect of time-varying rain attenuation. Firstly, a beam hopping system model as well as rain attenuation time series based on Dirac lognormal distribution are provided. On this basis, the dynamic allocation method by employing genetic algorithm is proposed to obtain both quantity and arrangement of time slots allocated for each beam. Simulation results show that, compared with conventional methods, the proposed algorithm can dynamically adjust time slots allocation to meet the non-uniform traffic requirements of each beam under the effect of time-varying rain attenuation and effectively improve system performance.

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