A structure evolution-based design for stable IIR digital filters using AMECoDEs algorithm

Chen, Lijia; Liu, Mingguo; Wang, Zan; Dai, Zhen

doi:10.1007/s00500-019-04268-w

Cited by 7 publications

(4 citation statements)

References 18 publications

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“…Since the previous frame image is added with pseudorandom sequence and the latter frame image is subtracted with pseudorandom sequence, it has little impact on vision as a whole, which is the effect of hybrid complementarity. After complementary scrambling of the original image, the overall time domain and frequency domain are changed, which can also achieve the purpose of protecting the useful information of the image [23][24][25].…”

Section: Design Of Antileakage Methods Of Digital Videomentioning

confidence: 99%

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Antileakage Technology of Computer Video Information Encryption Based on Digital Information Method

Sun

Jiao

2022

Security and Communication Networks

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In order to better realize and ensure the security performance of network information itself, various possible risks must be prevented in advance, and a more reliable operation environment must be created as much as possible. A research study on computer video information encryption and antileakage technology based on the digital information method is proposed. Through the research on the working principle of computer display systems, this paper analyzes the common leakage sources. On this basis, it analyzes how to protect the electromagnetic wave leaked from the computer display system. Finally, it is proposed that the protective measure adopted in this paper is (transient electronic pulse emission survey technology, tempest) technology; that is, the image is processed at the source of image information to reduce the electromagnetic radiation of useful information. The corresponding digital filter is designed by fir, and the combined filtering of digital filter and analog filter is applied to eliminate the inherent disadvantage of periodic fluctuation of insertion loss of the digital filter. The research results show that the receiver before filtering can receive video images at multiple frequency points such as 20 MHz, 160 MHz, 220 MHz, 250 MHz, 270 MHz, 290 MHz, and 340 MHz, while the receiver after filtering can only receive video images at two frequency points of 20 MHz and 250 MHz, but it cannot recognize the words in the figure, and its effect is very obvious. It verifies the correctness and effectiveness of the theoretical analysis in this paper.

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Section: Design Of Antileakage Methods Of Digital Videomentioning

confidence: 99%

“…Select the drawing base window and set the order to 64. Next, do antileakage simulation processing for the character image information [25].…”

Section: Research On Digital Filtering Of Character Imagementioning

confidence: 99%

Antileakage Technology of Computer Video Information Encryption Based on Digital Information Method

Sun

Jiao

2022

Security and Communication Networks

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“…Although En and He are important parameters of the cloud model, in CGA, changes in both can produce the same evolutionary results through changes in Ex and certainty. erefore, after several generations of evolution, the randomness of Ex and certainty partially masks the difference in evolutionary results caused by their different values [19].…”

Section: En and Hementioning

confidence: 99%

Mathematical Modeling Method of the Improved Genetic Algorithm for Random Power Fluctuation

Zhu

2022

International Transactions on Electrical Energy Systems

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In order to solve the problem that the traditional genetic algorithm has a slow search speed and is easy to fall into the local optimal solution, a mathematical modeling method of an improved genetic algorithm in random power fluctuation is proposed. Drawing on the idea of a genetic algorithm (GA) and using the randomness and stability trend of cloud droplets of the normal cloud model, the author proposes a new genetic algorithm, cloud genetic algorithm (CGA). CGA is implemented by the Y-condition cloud generator of the normal cloud model to realize the cross operation, and the basic cloud generator realizes the mutation operation. Finally, the power function optimization experiment and the IIR digital filter optimization design are carried out, and the standard GA, NQGA, CAGA, and LARES algorithms are carried out compared. The experimental results show that the IIR digital filter designed by CGA has the smallest maximum ripple (Ap) in the passband, which is 0.342, and the largest minimum attenuation (As) in the stopband, which is 34.27. It can be observed that the overall performance is better. The validity of the algorithm is proved, and it has a certain reference and application value.

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“…In the IIR model identification, the design is essentially a global optimization problem of multi-dimensional variables, and the error surface contains some local extremum. Modeling is accomplished by comparing the input value of the unknown system with the output value of the adaptive IIR filter [1][2][3][4][5]. Some optimization techniques are introduced to adjust the control parameters and enhance the overall performance of model identification, such as arithmetic optimization algorithm (AOA) [6], gorilla troops optimization (GTO) [7], harris hawks optimization (HHO) [8], movable damped wave algorithm (MDWA) [9], rat swarm optimization (RSO) [10], whale optimization algorithm (WOA) [11], tunicate swarm algorithm (TSA) [12].…”

Section: Introductionmentioning

confidence: 99%

Adaptive infinite impulse response system identification using an enhanced golden jackal optimization

Zhang

Kong

et al. 2023

J Supercomput

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The significant error of the adaptive infinite impulse response (IIR) system identification often involves nonlinearity and indifferentiability, the practical and reliable swarm intelligence optimization techniques are required to calculate and establish the ideal parameters of the IIR filter. In this research, an enhanced golden jackal optimization (EGJO) based entirely on the elite opposition-based learning technique and the simplex technique can be adopted to address this issue.The intention is to minimize the error fitness value and attain the appropriate control parameters. The golden jackal optimization (GJO), based on the cooperative attacking behavior of the golden jackals, simulates the searching for prey, stalking and enclosing prey, pouncing prey to efficaciously tackle the complicated optimization problem. The elite opposition-based learning technique has the characteristics of boosting population diversity, enhancing exploration ability, extending search range and avoiding search stagnation. The simplex technique has the characteristics of accelerating the search process, enhancing the exploitation ability, improving the computational precision and increasing the optimization depth. The EGJO can realize the balance between exploration and exploitation to arrive at the best possible outcome. To demonstrate the overall search ability, the EGJO is compared with those of the AOA, GTO, HHO, MDWA, RSO, WOA, TSA and GJO by gradually decreasing the error fitness value of the IIR filter. The experimental results clearly demonstrate that the optimization efficiency and recognition accuracy of EGJO are superior to those of other algorithms. The EGJO offers several benefits to obtaining a faster convergence rate, higher computation precision, better control parameters and better fitness value. In addition, the EGJO is very stable and resilient in tackling the IIR system identification problem.

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A structure evolution-based design for stable IIR digital filters using AMECoDEs algorithm

Cited by 7 publications

References 18 publications

Antileakage Technology of Computer Video Information Encryption Based on Digital Information Method

Antileakage Technology of Computer Video Information Encryption Based on Digital Information Method

Mathematical Modeling Method of the Improved Genetic Algorithm for Random Power Fluctuation

Adaptive infinite impulse response system identification using an enhanced golden jackal optimization

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