Search Results - (( data optimization method algorithm ) OR ( papr selection methods algorithm ))

Search alternatives:

Refine Results
  1. 1
    PAPR Reduction Using Genetic Algorithm (GA) In OFDM System

    PAPR Reduction Using Genetic Algorithm (GA) In OFDM System by Mohd Ramdan, Fatin Najwa Nursyadza

    Published 2018
    “…The proposed GA method successfully reduces the PAPR performance in OFDM system.…”
    Get full text
    Get full text
    Monograph
    Save to List
    Saved in:
  2. 2
    New methods of partial transmit sequence for reducing the high peak-to-average-power ratio with low complexity in the ofdm and f-ofdm systems

    New methods of partial transmit sequence for reducing the high peak-to-average-power ratio with low complexity in the ofdm and f-ofdm systems by Abduljabbar, Yasir Amer

    Published 2019
    “…This thesis proposes novel methods and algorithms for reducing the high PAPR value with low computational complexity depending on the PTS technique. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  3. 3
    Peak To Average Power Ratio Reduction In Wireless Orthogonal Frequency Division Multiplexing

    Peak To Average Power Ratio Reduction In Wireless Orthogonal Frequency Division Multiplexing by Wahab, Aeizaal Azman Abdul

    Published 2014
    “…Statistical Redistribution Method (SRM) which makes use of a non linear companding operation is selected and applied on the OFDM outputs signals has been used as a combination with Selected Mapping Method (SLM). …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  4. 4
    A low complexity PAPR reduction scheme based on radix-II IFFT

    A low complexity PAPR reduction scheme based on radix-II IFFT by Kazemian, Mohsen, Varahram, Pooria, Mohd Ali, Borhanuddin, Mohammady, Somayeh

    Published 2015
    “…However high number of inverse fast Fourier transform (IFFT) block is required to achieve the desired PAPR reduction performance. In this paper a PAPR reduction method based on N point radix-2 IFFT is proposed in which the number of IFFTs is reduced to one. …”
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  5. 5
    Enhanced PAPR reduction and channel estimation techniques in multi-carrier wireless communication system

    Enhanced PAPR reduction and channel estimation techniques in multi-carrier wireless communication system by Ali Kareem, Nahar

    Published 2016
    “…First, a novel rotating phase shift (RPS) based on signal scrambling to reduce PAPR in OFDM system had been proposed. The search algorithm was used to solve the convex problem in selecting PAPR-RPS best phase shift factor based on the cost of computational complexity. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  6. 6
    A novel algorithm to reduce peak-to-average power ratio of orthogonal frequency division multiplexing signals

    A novel algorithm to reduce peak-to-average power ratio of orthogonal frequency division multiplexing signals by Hashmani, M.A., Abro, F.R., Unar, M.A., Watada, J.

    Published 2018
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  7. 7
    A novel algorithm to reduce peak-to-average power ratio of orthogonal frequency division multiplexing signals

    A novel algorithm to reduce peak-to-average power ratio of orthogonal frequency division multiplexing signals by Hashmani, M.A., Abro, F.R., Unar, M.A., Watada, J.

    Published 2018
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  8. 8
    Deterministic phase sequence approach for peak to average power ratio reduction in orthogonal frequency division multiplexing systems

    Deterministic phase sequence approach for peak to average power ratio reduction in orthogonal frequency division multiplexing systems by Kazemian, Mohsen

    Published 2016
    “…The results show that the GCP method improves the PSD of the signal at least 4dB, compared with the CPTS method. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  9. 9
    VLSI floor planning optimization using genetic algorithm and cross entropy method / Angeline Teoh Szu Fern

    VLSI floor planning optimization using genetic algorithm and cross entropy method / Angeline Teoh Szu Fern by Angeline Teoh, Szu Fern

    Published 2012
    “…These two models are based on topological placement method. DM is optimized using genetic algorithm (GA). …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  10. 10
    Data-driven continuous-time Hammerstein modeling with missing data using improved Archimedes optimization algorithm

    Data-driven continuous-time Hammerstein modeling with missing data using improved Archimedes optimization algorithm by Islam, Muhammad Shafiqul, Mohd Ashraf, Ahmad

    Published 2024
    “…This research introduces the improved Archimedes optimization algorithm (IAOA) for data-driven modeling of continuous-time Hammerstein models with missing data. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  11. 11
    An improved method using fuzzy system based on hybrid boahs for phishing attack detection

    An improved method using fuzzy system based on hybrid boahs for phishing attack detection by Noor Syahirah, Nordin

    Published 2022
    “…Moreover, Butterfly Optimization Algorithm and Harmony Search Algorithm were combined as optimization method led to a new method named BOAHS. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  12. 12
    Enhanced Flipping Technique to Reduce Variability in Image Steganography

    Enhanced Flipping Technique to Reduce Variability in Image Steganography by Kamil S., Abdullah S.N.H.S., Hasan M.K., Bohani F.A.

    Published 2023
    Article
    Save to List
    Saved in:
  13. 13
    Application of Optimization Methods for Solving Clustering and Classification Problems

    Application of Optimization Methods for Solving Clustering and Classification Problems by Shabanzadeh, Parvaneh

    Published 2011
    “…In this study we show how to apply a particular class of optimization methods known as pattern search methods to address these challenges. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  14. 14
    Fuzzy modeling using Bat Algorithm optimization for classification

    Fuzzy modeling using Bat Algorithm optimization for classification by Noor Amidah, Ahmad Sultan

    Published 2018
    “…In order to solve it, Bat Algorithm method is implement in to optimization method in fuzzy modeling for classification. …”
    Get full text
    Get full text
    Get full text
    Undergraduates Project Papers
    Save to List
    Saved in:
  15. 15
    Data-Driven control based on marine predators algorithm for optimal tuning of the wind plant

    Data-Driven control based on marine predators algorithm for optimal tuning of the wind plant by Mohd Zaidi, Mohd Tumari, Mohd Ashraf, Ahmad, Mohd Helmi, Suid, Mohd Riduwan, Ghazali

    Published 2022
    “…Comparative results alongside other existing metaheuristic-based algorithms further confirmed excellence of the proposed method through its superior performance against the slime mould algorithm (SMA), multi-verse optimizer (MVO), sine-cosine algorithm (SCA), grey wolf optimizer (GWO), and safe experimentation dynamics (SED) algorithm.…”
    Get full text
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  16. 16
    Algorithmic Loan Risk Prediction Method Based on PSO-EBGWO-Catboost

    Algorithmic Loan Risk Prediction Method Based on PSO-EBGWO-Catboost by Chen, Suihai, Bong, Chih How, Chiu, Po Chan

    Published 2024
    “…PSO-EBGWO is used to optimize the parameters of the CatBoost model. In this method, the Gray Wolf optimized algorithm (EBGWO) is further optimized by particle swarm optimization (PSO), and when combined with it, the convergence performance of the model is improved, the parameters of the model are reduced, and the model is simplified. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  17. 17
    Data clustering using the bees algorithm

    Data clustering using the bees algorithm by Pham, D.T, Otri, S., Afify, A., Mahmuddin, Massudi, Al-Jabbouli, H.

    Published 2007
    “…The authors’ team have developed a new population based search algorithm called the Bees Algorithm that is capable of locating near optimal solutions efficiently. …”
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  18. 18
    An improved K-nearest neighbour with grasshopper optimization algorithm for imputation of missing data

    An improved K-nearest neighbour with grasshopper optimization algorithm for imputation of missing data by Zainal Abidin, Nadzurah, Ismail, Amelia Ritahani

    Published 2021
    “…Thus, this paper proposes a novel method for imputation of missing data, named KNNGOA, which optimized the KNN imputation technique based on the grasshopper optimization algorithm. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  19. 19
    Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli

    Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli by Seyed Hamidreza , Aghay Kaboli

    Published 2018
    “…To assess the applicability and accuracy of the proposed method for long-term electrical energy consumption, its estimates are compared with those obtained from artificial neural network (ANN), support vector regression (SVR), adaptive neuro-fuzzy inference system (ANFIS), rule-based data mining algorithm, GEP, linear, quadratic and exponential models optimized by particle swarm optimization (PSO), cuckoo search algorithm (CSA), artificial cooperative search (ACS) algorithm and backtracking search algorithm (BSA). …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  20. 20
    Parameter estimation in double exponential smoothing using genetic algorithm / Foo Fong Yeng, Lau Gee Choon and Zuhaimy Ismail

    Parameter estimation in double exponential smoothing using genetic algorithm / Foo Fong Yeng, Lau Gee Choon and Zuhaimy Ismail by Foo, Fong Yeng, Lau, Gee Choon, Ismail, Zuhaimy

    Published 2014
    “…Exponential smoothing is a simple extrapolative method that seeks to identify pattern of past data. …”
    Get full text
    Get full text
    Research Reports
    Save to List
    Saved in:

Search Tools: