-
1
-
2
A modular equalization method for series-connected battery packs based on inductors
Published 2025-07-01“…Again, the equalization performance of the proposed equalization method is analyzed, which shows that the proposed method has the advantages of fast equalization speed, low topological cost and simple control. …”
Get full text
Article -
3
Iterative rake equalization method for low-complexity OTSM in high-speed mobile environment
Published 2022-10-01“…Aiming at the problems of poor anti-noise performance and high computational complexity of the existing orthogonal time sequency multiplexing (OTSM) equalization methods, a low-complexity iterative rake equalizer based on maximum ratio combining (MRC) was proposed.The main idea was to use MRC to iteratively extract and coherently combine the received multipath components of the transmitted symbols in the delay-time domain to improve the signal-to-noise ratio of the combined signal.In order to speed up the convergence of the MRC iterative algorithm, a single-tap time-frequency equalizer was designed to provide an initial estimate, and then combined with an external error correction code to further improve the bit error performance.The simulation results show that the performance of the iterative rake equalizer based on MRC is significantly better than that of the LMMSE linear equalizer, and the performance and computational complexity are greatly improved compared with the currently widely used Gauss-Seidel (GS) iterative equalizer.…”
Get full text
Article -
4
Phase Current Equalization Method of IPMSM-Based on-Board Boost Converter for Electric Vehicles
Published 2025-01-01Get full text
Article -
5
Contrast Limited Adaptive Local Histogram Equalization Method for Poor Contrast Image Enhancement
Published 2025-01-01Get full text
Article -
6
Novel Passive Equalization Methods for Lithium-Ion Batteries Utilizing Real-Time Internal Resistance Measurements
Published 2024-01-01“…Passive battery equalization methods are commonly utilized in industrial applications due to their simplicity and cost-effectiveness. …”
Get full text
Article -
7
-
8
A Two-Stage Time-Domain Equalization Method for Mitigating Nonlinear Distortion in Single-Carrier THz Communication Systems
Published 2025-08-01“…In this study, we focus on a single-carrier THz communication system and propose a two-stage deep learning-based time-domain equalization method, specifically designed to mitigate the nonlinear distortions in such systems, thereby enhancing communication reliability and performance. …”
Get full text
Article -
9
-
10
-
11
Image Quality Enhancing by Efficient Histogram Equalization
Published 2014-10-01“…Experimental results show that the proposed technique gives better results in terms of Discrete Entropy, Signal to Noise ratio and Mean Squared Error values than the Global and Local histogram-based equalization methods …”
Get full text
Article -
12
Investigation of Equating Error in Tests with Differential Item Functioning
Published 2017-09-01“…Mean-mean, mean-standard deviation, Haebara and Stocking-Lord Methods used in common item design equal groups as equalization methods. The study included six different simulation conditions. …”
Get full text
Article -
13
Research on Equalization Strategy of Lithium-Ion Battery Based on Temperature and SOC Adaptive Fuzzy Control
Published 2025-01-01“…To enhance equalization efficiency and address the issue of traditional equalization methods overlooking temperature factors, this paper proposes a multilayer equalization circuit for both intra-group and inter-group balancing. …”
Get full text
Article -
14
A Comparative Study of Image Processing and Machine Learning Methods for Classification of Rail Welding Defects
Published 2025-05-01“…Therefore, this work proposes a method based on image processing and machine learning techniques for the automated investigation of defects. Histogram Equalization methods are first applied to improve image quality. …”
Get full text
Article -
15
Automatic identification and characteristics analysis of crack tips in rocks with prefabricated defects based on deep learning methods.
Published 2025-01-01“…Secondly, three equalization methods are applied to the collected crack images of the rock specimens, including HE, AHE, and CLAHE, to enhance the accuracy of identifying cracks in the rock specimens. …”
Get full text
Article -
16
Channel equalization in ultraviolet communication based on LSTM-DNN hybrid model
Published 2025-05-01“…However, traditional channel equalization methods still exhibit limitations when handling complex nonlinear channels. …”
Get full text
Article -
17
Design of Intelligent Interpretation Network for Underwater Acoustic Communication Receiver with Multiple Signal Modulations
Published 2025-04-01“…The test results show that the two designed intelligent interpretation networks have significantly improved system performance compared to traditional least squares(LS) estimation + zero-forcing(ZF) equalization and LS estimation + minimum mean squared error(MMSE) channel estimation equalization methods. Under a signal-to-noise ratio of 5 dB, the system error rates of OFDM and SCM non-spread spectrum signal modulation methods are reduced by about 10 times and 100 times, respectively. …”
Get full text
Article -
18
Dynamic Analysis and Equivalent Modeling for a Four-Axle Vehicle
Published 2024-11-01“…Finally, for a more simple and efficient analysis of response characteristics of four-axle vehicles and even <i>n</i> (<i>n</i> > 4) axle vehicles, the equivalent model is developed for the four-axle vehicle, and comprehensive analyses are presented with four equalization methods, which are based on the inner heart of the approximation triangle, the outer heart of the approximation triangle, the center of gravity of the approximation triangle and the compensation point. …”
Get full text
Article -
19
Signal equalization and coding techniques in ultra-high-speed short-reach optical interconnect
Published 2025-04-01“…In terms of equalization technology, a low-complexity Volterra equalization method based on the least angle regression strategy (LaNLE) and a deep neural network equalization method based on hidden feature extraction (HFE) were proposed. …”
Get full text
Article -
20
Effectiveness of Feature Extraction by PCA-Based Detection and Naive Bayes Classifier for Glaucoma Images
Published 2022-01-01“…The images are involved in dilation as a preprocessing, enhancement using the contrast limited adaptive histogram equalization method, and followed by the extraction of features using principal component analysis. …”
Get full text
Article