Search Results - (( using function method algorithm ) OR ( noise reduction function algorithm ))

Real time nonlinear filtered-x lms algorithm for active noise control by Sahib, Mouayad Abdulredha

“…Active noise control (ANC) is an effective noise reduction method capable of reducing unwanted low frequency noise (typically below 500Hz) electronically. …”
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Denosing of natural image based on non-linear threshold filtering using discrete wavelet transformation by Khmag, Asem, Ramli, Abdul Rahman, Syed Mohamed, Syed Abdul Rahman Al-Haddad, Hashim, Shaiful Jahari

“…Calculating the value of thresholding, the way it works in the algorithm (derivation of thresholding function) and the type of wavelet mother functions, are pivotal issues in the field of denoising based wavelet approach. …”
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Single channel speech enhancement using Wiener filter and compressive sensing by Sulong, Amart, Gunawan, Teddy Surya, Khalifa, Othman Omran, Kartiwi, Mira, Dao, Hassan

“…Therefore, the proposed algorithm significantly achieved the speech quality improvement and efficiently obtained higher performance resulting in better noise reduction compare to other conventional algorithms.…”
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Integrated face detection approach for far image application by Salka, Tanko Daniel

“…The noise reduction method in the proposed algorithm consists of a combination of a morphological filter and a rejection method. …”
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An enhanced minimum variance distortionless response beamformer techniques to reduce interference in array antenna system by Shahab, Suhail Najm

“…Metaheuristic optimization algorithms are used widely to solve many engineering problems. …”
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A hybrid approach for artificial immune recognition system / Mahmoud Reza Saybani by Mahmoud Reza, Saybani

“…The components of the AIRS2 algorithm that pose problems will be modified. This thesis proposes three new hybrid algorithms: The FRA-AIRS2 algorithm uses fuzzy logic to improve data reduction capability of AIRS2 and to solve the linearity problem associated with resource allocation of AIRS. …”
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Qualitative and quantitative accuracy evaluation of 18f-fdg PET/CT with TOF and NON-TOF system on beta value in BPL reconstruction by Hui, Ng Suk

“…The images were reconstructed using the OSEM (16 subsets, 3 iterations) and Q.Clear algorithms, both of which include Point Spread Function (PSF) modelling. …”
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Self learning neuro-fuzzy modeling using hybrid genetic probabilistic approach for engine air/fuel ratio prediction by Al-Himyari, Bayadir Abbas

“…A fitness function is proposed to deal with multi-objective problem without weight using a new composition method. …”
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Optimization of fast fourier transform based on twiddle factor using genetic algorithm on raspberry pi by Ghazi, Firas Faisal

“…Over the years the Genetic Algorithms (GA) proved to be one of the best methods for optimization. …”
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Radiation dose, cancer risk and diagnostic performance of computed tomography pulmonary angiography examination by Haspi Harun, Hanif

“…Noise power spectrum (NPS), target transfer function (TTF), CNR and SNR were evaluated concerning the optimization setting. …”
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Enhanced PAPR reduction and channel estimation techniques in multi-carrier wireless communication system by Ali Kareem, Nahar

“…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. …”
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Modeling of flood water level prediction using NNARX / Fazlina Ahmat Ruslan by Ahmat Ruslan, Fazlina

“…Further, after a careful investigation into the OLS algorithm, it was shown that the ERR technique which is an essential part of the algorithm to reach model parsimony, has led the resultant model to select an incorrect model terms albeit some improvement in model selection criteria and validation method adopted in this study. …”
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Model input and structure selection in multivariable dynamic modeling of batch distillation column pilot plant / Ilham Rustam by Rustam, Ilham

“…Further, after a careful investigation into the OLS algorithm, it was shown that the ERR technique which is an essential part of the algorithm to reach model parsimony, has led the resultant model to select an incorrect model terms albeit some improvement in model selection criteria and validation method adopted in this study. …”
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Loudspeaker nonlinearity compensation with inverse tangent hyperbolic function-based predistorter for active noise control by Sahib, Mouayad Abdulredha, Raja Ahmad, Raja Mohd Kamil

“…This parameter can be obtained by modelling the secondary path using a proposed block-oriented Hammerstein structure in which the nonlinear part is represented by a memory-less tangent hyperbolic function (THF). Simulation results show that using the proposed PD along with the FXLMS algorithm increase the noise reduction performance significantly. …”
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Task-based assessment on various optimization protocols of computed tomography Pulmonary Angiography examination by Harun, Hanif Haspi, Abdul Karim, Muhammad Khalis, Muhammad, Nor Azura, Awang Kechik, Mohd Mustafa, Ming, Tsuey Chew, Talib, Zainal Abidin

“…The result was presented in term of signal to noise ratio (SNR), contrast to noise ratio (CNR), noise power spectrum (NPS) and target transfer function (TTF). …”
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A HOS-based blind deconvolution algorithm for the improvement of time resolution of mixed phase low SNR seismic data by A.F.M., Hani, M.S., Younis, M.F.M., Halim

“…This modification reduces the effect of the availability of a small number of samples and strong additive noise on the cumulant slices. These modifications are found to improve the overall deconvolution performance, with approximately a five-fold reduction in a mean square error (MSE) and a six-fold reduction in convolution noise of 10 dB of the SNR. …”
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Denoising of digital images using second generation wavelet transforms-hidden markov model by Khmag, Asem Ib Mohamed

“…In order to increase the robustness of the proposed algorithm, the level of noise in digital image can be estimated if the noise standard deviation σ is unknown. …”
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Efficiency of 4253HT smoothers in extracting signal from noise and their applications in forecasting by Khairol Azmi, Nurul Nisa'

“…The signal of sinusoidal and special functions; Doppler, HeavySine, Bumps and Block was generated with non-Gaussian noise added that produced high volatility and disturbed by outliers. …”
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Finding the root of nonlinear function using five bracketing method / Nur Afiqah Mohamed Azhar by Mohamed Azhar, Nur Afiqah

“…Therefore, numerical method in the form of bracketing method is often used to find only the approximate root of the function. …”
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Gravitational search – bat algorithm for solving single and bi-objective of non-linear functions by Abbas, Iraq Tareq

“…The second technique is to solve bi-objective functions by using the BOBAT algorithm. The third technique is an integration of BOGSA with BOBAT to produce a BOGSBAT algorithm. …”
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