Results 221 to 230 of about 184,116 (253)

Correlation Filter Tracking with Complementary Features

2018
Although Correlation Filters (CF) tracking algorithms have inherent capability to tackle various challenging scenarios individually, none of them are robust enough to handle all the challenges simultaneously. For any online tracking based on Correlation Filters, feature is one of the most important factors due to its representation power of target ...
Wei Wang 0183, Weiguang Li, Mingquan Shi
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Discrete time-varying attitude complementary filter

2009 American Control Conference, 2009
This paper presents the development of an attitude complementary filter for an Attitude and Heading Reference System (AHRS). Using strapdown inertial measurements and vector observations, the proposed complementary filter provides attitude estimates in Euler angles representation, while compensating for rate gyro bias.
José Fernandes Vasconcelos, Carlos Silvestre, Paulo Oliveira 0001, Pedro Batista 0001, Bruno Cardeira   +4 more
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External acceleration elimination for complementary attitude filter

2017 IEEE International Conference on Information and Automation (ICIA), 2017
Generalized complementary filter (GCF) is an attractive solution for data fusion in attitude and heading reference system (AHRS) and inertial measurement unit (IMU), mainly because its computational efficiency. However, since the accelerometer in AHRS and IMU is sensitive to both the gravity and external acceleration, the performance of GCF will be ...
Xiang Li 0027, Qun Li
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Time-varying complementary filtering for attitude estimation

2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011
Complementary filtering (CF) is a well known method that can effectively fuse a gyroscope and accelerometer measurement in order to robustly estimate the attitude of a rigid body in a planar single degree of freedom (DOF) setting. The attitude can be estimated individually by either integrating the gyroscope measurement or by calculating the inverse ...
Evan Chang-Siu, Masayoshi Tomizuka, Kyoungchul Kong   +2 more
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Generalized doubly complementary IIR digital filters

Signal Processing, 1992
The authors examine the properties of weighted complementary IIR filters. Either real or complex allpass subfilters are utilized. The classical odd-order lowpass designs can be realized as a parallel connection of two real or complex conjugate allpass filters. Also, a complementary filter pair can be implemented at the cost of a single filter.
Markku Renfors, Sanjit K. Mitra, Phillip A. Regalia, Yrjö Neuvo   +3 more
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Filter bank representation of complementary sequence pairs

2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2012
A unique decomposition of arbitrary pairs of complementary sequences (including binary, polyphase and QAM) based on paraunitary matrices is presented. This decomposition allows us to describe the internal structure of any sequence pair of length N using basic paraunitary matrices defined by N complex coefficients named omega vector.
Srdjan Z. Budisin, Predrag Spasojevic
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A Comparison of Complementary and Kalman Filtering

IEEE Transactions on Aerospace and Electronic Systems, 1975
A technique used in the flight control industry for estimation when combining measurements is the complementary filter. This filter is usually designed without any reference to Wiener or Kalman filters, although it is related to them. This paper, which is mainly tutorial, reviews complementary filtering and shows its relationship to Kalman and Wiener ...
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A Complementary Predictor for Collaborative Filtering

2015
Recommender systems provide users with personalized suggestions for products or services. Collaborative Filtering (CF) is a method commonly used in recommender systems to establish a connection between users and products by analyzing past transactions.
Min Chen, Wenxin Hu, Jun Zheng
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A complementary pair LMS algorithm for adaptive filtering

1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2002
This paper presents a new algorithm that can solve the problem of selecting appropriate update step size in the LMS algorithm. The proposed algorithm, called a complementary pair LMS (CP-LMS) algorithm, consists of two adaptive filters with different update step sizes operating in parallel, one filter re-initializing the other with the better ...
Woo-Jin Song, Min-Soo Park
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Complementary Filter Pairs

2009
Digital filters with complementary characteristics find many applications in practice. In this chapter, we concentrate on the properties and construction of complementary filters and filter pairs. An important application of complementary property is deriving a new transfer function from the existing one.
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