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Rozprawy doktorskie na temat „Adaptive Fuzzy filter”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Kumar, Jukanti Ajay, and Dharmana B. P. Naidu. "Digital Video Stabilization using SIFT Feature Matching and Adaptive Fuzzy Filter." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4063.

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Context: Video stabilization techniques have gained popularity for their permit to obtain high quality video footage even in non-optimal conditions. There have been significant works done on video stabilization by developing different algorithms. Most of the stabilization software displays the missing image areas in stabilized video. In the last few years hand-held video cameras have continued to grow in popularity, allowing everyone to easily produce personal video footage. Furthermore, with online video sharing resources being used by a rapidly increasing number of users, a large proportion

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Ferrari, Rafael 1977. "Equalização de canais de comunicação digital baseada em filtros fuzzy." [s.n.], 2005. http://repositorio.unicamp.br/jspui/handle/REPOSIP/261780.

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Orientador: João Marcos Travassos Romano<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação<br>Made available in DSpace on 2018-08-05T07:17:28Z (GMT). No. of bitstreams: 1 Ferrari_Rafael_M.pdf: 3590603 bytes, checksum: 36e018a11a02c47baafbf4b3682e9f1d (MD5) Previous issue date: 2005<br>Resumo: Esta tese objetiva o estudo da utilização de fuzzy na equalização supervisionada e não-supervisionada de canais de comunicação digital. O trabalho se divide em basicamente duas partes. Na primeira, é feita uma revisão das técnicas de equaliza

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Hsieh, Yu-Chen, and 謝雨辰. "Improved Adaptive Fuzzy Multilevel Median Filter." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/16718205799958302185.

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碩士<br>國立臺灣科技大學<br>資訊管理系<br>90<br>In this thesis, an improved adaptive fuzzy multilevel median filter method (IAFMMF) is presented. Due to employing a true thin-line (TTL) feature checking technique, surprisingly our proposed method has about 44% execution-time improvement ratio when compared to the AFMMF. Under three real images with impulsive noise, experimental results also show that under the same noise cancellation capability, our proposed IAFMMF has a better PSNR improvement and better TTL feature preserving capability when compared to the other seven well-known deno

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Chang, Fu-I., and 張復詒. "An Innovative Fuzzy Adaptive Fading Kalman Filter for GPS Navigation." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/76754239283236996074.

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碩士<br>國立臺灣海洋大學<br>通訊與導航工程系<br>95<br>The extended Kalman Filter (EKF) is an important method for eliminating stochastic errors of dynamic position in the Global Positioning System (GPS). One of the adaptive methods is called the Adaptive Fading Kalman filter (AFKF), which employs suboptimal multiple fading factors for limiting the length of memory in an EKF. A scaling factor α has been proposed for increasing the fading factors so as to improve the tracking capability. Traditional approach for selecting the scaling factor α heavily relies on personal experience or computer simulation. In order

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Wang, Sheng-Hung, and 王聖鋐. "Navigation System Design using Adaptive Fuzzy Strong Tracking Kalman Filter." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/61139809486545522443.

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碩士<br>國立臺灣海洋大學<br>通訊與導航工程系<br>94<br>英文摘要 While employed in the Global Positioning System (GPS) receiver as the navigational state estimator, the extended Kalman filter (EKF) provides optimal solution in terms of minimum mean square error. To obtain good estimation solutions using the EKF approach, the designers are required to have good knowledge on both dynamic process and measurement models, in addition to the assumption that both the process and measurement are corrupted by zero-mean Gaussian white noises. In various circumstances where there are uncertainties in the system model and noise

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Wu, Jia-Hong, and 吳佳鴻. "Error-Trimmed Median Filter Based on the Adaptive Fuzzy Linear Regression." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/21128395365470004795.

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碩士<br>國立中正大學<br>資訊工程學系<br>85<br>Nonlinear filter plays an important role in the field of image processing due to their ability to perform noise cancellation effectively. The median filter is one of the best known nonlinear filters. In median filtering, a pixel is replaced with the median within a window even if the pixel is not corrupted. Some filters based on a detection-estimation strategy are proposed to solve this problem. Even though the performance of the detection

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Chang, Yuan-tain, and 張園田. "An Adaptive Hybrid Filter Based on Fuzzy System for Speech Enhancement." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/55038312936888767465.

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碩士<br>朝陽科技大學<br>資訊工程系碩士班<br>98<br>n this paper an adaptive hybrid filter, based on fuzzy inference system, is proposed for speech signal enhancement. As we know, noise causes the drastic reduction of the accuracy ratio of the speech recognition system. In this paper an effective voice enhancement scheme is proposed to filter the additive noise. In the hybrid filter spectral subtraction, wavelet filtering and wiener filtering are cooperated to filter the signal and complementary to each other. And, the input voice signal is classified into non-stationary and stationary type. The former signal i

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Tai, Chen-Wu(Jacky), and 戴承武. "Impulse Noise Removal of Corrupted Images Using Adaptive Median Fuzzy Weighted Recursive Filter." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/83713505700438170310.

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碩士<br>國立臺灣科技大學<br>自動化及控制研究所<br>101<br>Nowadays, human’s computing technology is progressed from vacuum tube to transmitter and semiconductor. The quantity and quality of computing technology is faster and diverse. Lots of applications depending on computers, especially for mechanical visual technology, are used to replace older films. Since storage devices and CMOS are recently cheaper than before, images can be saved as high-quality digital data. In real world, when an image is transformed from one place to another by a digital technology, the image may be corrupted due to imposed noises like

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Amara, Chandrasekhar. "Adaptive hysteresis based fuzzy controlled shunt active power filter for mitigation of harmonics." Thesis, 2013. http://ethesis.nitrkl.ac.in/4645/1/209EE2157.pdf.

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Active filters are widely employed in distribution system to reduce the harmonics produced by non-linear loads result in voltage distortion and leads to various power quality problems. In this work the simulation study of a Adaptive hysteresis based fuzzy logic controlled shunt active power filter capable of reducing the total harmonic distortion is presented. The advantage of fuzzy control is that it is based on a linguistic description and does not require a mathematical model of the system and it can adapt its gain according to the changes in load. The instantaneous p-q theory is used for c

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Hsiao, Wei-Chieh, and 蕭維頡. "Application of Kalman Filter and Adaptive-Network-Based Fuzzy Inference System in Indoor Localization." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/11884914828064826829.

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碩士<br>東海大學<br>工業工程與經營資訊學系<br>102<br>Location-based services are widely integrated in our lives, such as inventory management, personal tracking or healthcare. With increasing applications of wireless localization, accuracy and stability of location estimation have become more critical. However, indoor localization suffers from multipath interference that affects traditional algorithm based on received signal strength indicator (RSSI). In this research, an indoor localization algorithm which combined Kalman filter and adaptive-network-based fuzzy inference system (ANFIS) was proposed. This loca

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Tseng, Chien-Hao, and 曾建澔. "Fuzzy Adaptive Interacting Multiple Model using Nonlinear Filter for Enhancing Integrated Navigation System Performance." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/86290754968544776151.

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碩士<br>國立臺灣海洋大學<br>通訊與導航工程系<br>97<br>The Kalman filter, a kind of recursive optimal estimator, has been widely applied in the design of integration navigation. An ideal Kalman filter can lead to an optimal filter when dynamics of model is completely known and noise is zero mean and white. In case of imprecise system modeling or deficiency of noise statistics, filter will tend to be divergent. In this case, interactive multiple model can be adopted to suppress the divergence of filtering. Owing to process and measurement noises are very complex during maneuvering, uncertainties induced by noise

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Murugan, Sowmyanarayanan, and 沐尚揚. "Adaptive Filter and Control System Design using Function-Link Fuzzy Brain Emotional Learning Controller." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/772dw6.

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碩士<br>元智大學<br>電機工程學系甲組<br>107<br>This thesis was written with a motive to design a type of intelligent controller by integrating a function link neural network with a fuzzy brain emotional learning controller (FBELC) and the resulting model is called function-link fuzzy brain emotional learning controller (FLFBELC). The fuzzy brain emotional learning controller is designed based on the decision making and emotional response of a brain which are carried out by its orbitofrontal cortex and amygdala. The FBELC correspondingly has a sensory network and an emotional network to imitate the setup of

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Lu, Shau-Yo, and 呂少瑜. "Adaptive Fuzzy Filter Incorporating with Commutation Error-based Algorithm to Improve Active Noise Control Performance." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/35905057229646730154.

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碩士<br>國立中興大學<br>機械工程學系所<br>96<br>In this thesis, we consider adaptive fuzzy filter for the purpose of active noise control (ANC). A least mean square (LMS) algorithm has been developed for a fuzzy filter as a nonlinear adaptive filter in the application of signal processing. Directly applying the adaptive fuzzy filter with the LMS algorithm in the ANC applications may lead to failure or slow convergence due to the existence of dynamic effects of the secondary path. Therefore, a filtered reference signal based LMS algorithm is proposed to overcome this problem. In addition, a commutation error

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Hsieh, Haun-Ze, and 謝環澤. "On Image Compression Using Fuzzy Inference Filter and Adaptive Quantization in Set Partitioning in Hierarchical Trees (SPIHT)." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/05419613236112764640.

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碩士<br>國立成功大學<br>電機工程學系碩博士班<br>93<br>Several notable static image compression algorithms have been developed recently. The objective of the algorithms is to reduce the large size of image files into smaller files that can be rapidly transferred through the Internet within limited transmission bandwidth; meanwhile, the original image can be retrieved in receivers without losing too much essential information. Among these developed compression algorithms, the Discrete Wavelet Transform (DWT) decomposition is one the most popular and promising framework that provides efficient quad-tree data struc

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Weng, Chih-chi, and 翁啟誌. "THE STATE OF CHARGE ESTIMATION FOR LITHIUM ION BATTERY BY FUZZY MODEL AND ADAPTIVE EXTENDED KALMAN FILTER." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/90005607774095995415.

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碩士<br>大同大學<br>電機工程學系(所)<br>104<br>Accurate state of charge (SOC) is necessary. It not only improve efficiency and security, but also prolong the life of the battery. Because of the chemical complexity and physical state, it is difficult to accurately estimate the state of charge of a battery. In this thesis, an equivalent circuit model (ECM) is adopted to approximate the characteristics of the Li-ion battery. The relationships between the parameters of the ECM and the SOC of the Li-ion battery are obtained by the direct current internal resistance (DCIR) test and the open circuit voltag

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Kuo, Hung-I., and 郭弘驛. "A Study on the Application of a Fuzzy Variable Step Size Adaptive NLMS Filter to the Noise Cancellation." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/67527507894254783166.

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碩士<br>國立成功大學<br>電機工程學系碩博士班<br>95<br>Adaptive filter algorithms are generally used for the achievement of active noise cancellation. Especially least mean square (LMS) and normalized least mean square (NLMS) are two of the most widely used algorithms. The step size and the power of reference signal in NLMS algorithm are the most critical parameters in adaptive filtering. They govern the convergence speed and the fluctuation of the NLMS adaptation process. Here the step size is decided not only by reference signal but also by convergence factor. Besides, a fixed convergence factor can not respon

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Seng, KP. "Adaptive filtering using Lyapunov theory and artificial intelligent techniques." Thesis, 2001. https://eprints.utas.edu.au/21536/7/whole_SengKahPhooi2001_thesis.pdf.

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Adaptive filtering has gained popularity in numerous applications to help cope with time-variations of system parameters, and to compensate for the lack of a priori knowledge of statistical properties of the input data. Therefore, it is an area of research that has important implications for many problems in signal processing, control and estimation, communication and others. Over the last several decades, a wide range of filter structures and algorithms has been developed. Finite Impulsive Response (FIR) and Infinite Impulse Response (UR) transversal filters are two well-established linear mo

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Li, Shu-Mao, and 李樹茂. "DESIGN OF ADAPTIVE FUZZY INTEGRAL SLIDING MODE CONTROLLER WITH STATE VARIABLE FILTERS FOR UNCERTAIN NONLINEAR SYSTEMS." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/gyeab8.

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碩士<br>大同大學<br>電機工程研究所碩士班<br>95<br>This paper proposes an adaptive fuzzy integral sliding mode controller with state variable filters for uncertain nonlinear systems that not all the states are available for measurement. To design the proposed controller, we first construct the fuzzy models to describe the input/output behavior of the nonlinear dynamic system. Next, an observer is applied to estimate the tracking error vector. Based on the observer, a fuzzy integral sliding model controller is developed for guaranteeing the tracking performance. Then, by passing the observation error vector to

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Lee, Yao-Ju, and 李耀儒. "On the Design of Adaptive Image Filters with Type-2 Fuzzy Logics for Removal of Impulse Noises." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/08897401798721989523.

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碩士<br>國立中正大學<br>通訊工程研究所<br>93<br>In this thesis, we present an image filter system based on type-2 Fuzzy Logic System (FLS). The type-1 fuzzy system was proposed by L. A. Zadeh in 1965 and has been widely applied in various fields such as digital signal processing, digital signal communications, decision-making concerning optimization problem and artificial intelligent. The type-2 fuzzy sets are proposed to deal with uncertain information. Therefore, the type-2 FLS can handle uncertainties by enhancing the degrees of freedom. A kernel component of a fuzzy inference system is knowledge base con

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