A power spectrum optimization algorithm inspired by magnetotactic bacteria

2014 ◽  
Vol 25 (7-8) ◽  
pp. 1823-1844 ◽  
Author(s):  
Hongwei Mo ◽  
Lili Liu ◽  
Lifang Xu
Keyword(s):  
Power Spectrum ◽  
Optimization Algorithm ◽  
Magnetotactic Bacteria ◽  
Spectrum Optimization

scholarly journals Application of Virtual Display Technology of LCD Backlight Spectrum Optimization Algorithm Based on Linear Programming

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Yuan Cui ◽  
Zhuyang Chen ◽  
Cheng Huang ◽  
Qian Gao
Keyword(s):  
Linear Programming ◽  
Optimization Algorithm ◽  
Programming Model ◽  
Research Process ◽  
Luminous Efficiency ◽  
Light Sources ◽  
Theoretical Maximum ◽  
Display Technology ◽  
Spectrum Optimization ◽  
Light Efficiency

In order to make the color of image display more realistic, optimize the use of energy, and improve the light efficiency of the module through reasonable spectral distribution, this paper proposes a backlight spectral optimization algorithm based on linear programming. With the goal of maximizing the backlight luminous efficiency, the theoretical maximum of the luminous efficiency of the backlight spectrum can be achieved by constructing a linear programming model. The research process is to obtain the optimal distribution of transmittance spectrum by linear programming method on the premise of ensuring the color gamut standard of display system. The results show that the light efficiency can be increased to 335.5 lm/W, while the original light efficiency of the system is less than 150 lm/W. With the goal of maximizing the light efficiency, light sources with narrow bandwidths such as lasers and quantum dot materials can be used to simulate and reconstruct these characteristic wavelengths. There will be easier to approach the ideal optimization spectrum and achieve the theoretical maximum luminous efficiency of 610.8 lm/W.

Quadrotor aircraft intelligent system identification experiment design

2019 ◽  
Vol 233 (13) ◽  
pp. 4911-4925
Author(s):  
Mohammed Alabsi ◽  
Travis Fields
Keyword(s):  
System Identification ◽  
Power Spectrum ◽  
Intelligent System ◽  
Model Development ◽  
Experiment Design ◽  
Input Power ◽  
Unmanned Aircraft ◽  
Input Design ◽  
Spectrum Optimization ◽  
Aircraft System

Aircraft prototyping and modeling is usually associated with resource expensive techniques and significant post flight analysis. The NASA Learn-To-Fly concept targets the replacement of the conventional ground-based aircraft model development and prototyping approaches with an efficient real time paradigm. The work presented herein describes the development of an intelligent excitation input design technique that determines excitation frequencies based on predefined rotational motion dynamic model. The input design is then evaluated on quadcopter unmanned aircraft that utilizes the new multisine input design. In order to minimize flight excursions without compromising the modeling capabilities, multisine input power spectrum is optimized based on the vehicle’s frequency response. The proposed methodology emphasizes excitation of modal frequencies which yields flight data rich information content. The generated optimized multisine input design is utilized for a quadcopter aircraft system identification and the performance is compared to conventional uniform amplitudes design. Simulation results show highly accurate model estimation in all identification results in addition to reduction of induced perturbations and power consumption. Additionally, the generated model prediction capabilities are not compromised after power spectrum optimization. Overall, the proposed technique introduces an efficient and intelligent system identification experiment design that can minimize the time and effort spent during excitation input design.

On Power Spectrum Optimization of M-ary Position PSK Modulations

2014 ◽  
Vol 35 (7) ◽  
pp. 1687-1693 ◽  
Author(s):  
Pu Miao ◽  
Le-nan Wu ◽  
Yi Jin
Keyword(s):  
Power Spectrum ◽  
Spectrum Optimization
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