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very low computational complexity

A low computational complexity normalized subband adaptive filter algorithm employing signed regressor of input signal

A low computational complexity normalized subband adaptive filter algorithm employing signed regressor of input signal

... straint is imposed on the decimated filter output to force a posteriori error to become zero. This constraint guarantees the convergence of the algorithm. This algorithm utilizes the signum of the input regressors at ...

23

A low computational complexity V-BLAST/STBC detection mechanism in MIMO system

A low computational complexity V-BLAST/STBC detection mechanism in MIMO system

... computation complexity detection mechanism will be ...as low complexity QR (LC-QR) decomposition, is ...The computational implementation of QR decomposition is less than ZF and MMSE [19], thus ...

28

A Novel Low Computational Complexity Multiple Signal Representation Technique for PAPR Reduction in OFDM Systems

A Novel Low Computational Complexity Multiple Signal Representation Technique for PAPR Reduction in OFDM Systems

... Abstract: Orthogonal Frequency Division Multiplexing (OFDM) while being an efficient scheme for high data rate wireless communications has drawbacks such as higher Peak-to-Average Power Ratio (PAPR). To reduce PAPR, use ...

9

Computationally Efficient Scale Covariant Time-Frequency Distributions

Computationally Efficient Scale Covariant Time-Frequency Distributions

... the computational efficient scale covariant distribution introduced in this paper, the Wigner distribution, and the wavelet transform using the Morlet ...at low frequencies it provides high- frequency ...

6

Low Delay Noise Reduction and Dereverberation for Hearing Aids

Low Delay Noise Reduction and Dereverberation for Hearing Aids

... a low signal delay and low computational ...with low signal delay which is important for speech enhancement in hearing aids or related applications such as hands-free communication ...

9

HIGH RESOLUTION DOA ESTIMATION IN FULLY COHERENT ENVIRONMENTS S. N. Shahi, M. Emadi, and K. Sadeghi

HIGH RESOLUTION DOA ESTIMATION IN FULLY COHERENT ENVIRONMENTS S. N. Shahi, M. Emadi, and K. Sadeghi

... the computational burden by working in beamspace domain instead of element space ...are low computational complexity and robustness to coherent ...

14

TIRE PRESSURE MONITORING SYSTEM INTERFERENCE SUPPRESSION USING BEAM FORMER TECHNIQUES

TIRE PRESSURE MONITORING SYSTEM INTERFERENCE SUPPRESSION USING BEAM FORMER TECHNIQUES

... In this paper, we suggested an RLS beam former for TPMS, which has excellent performance of interference suppression. Although the MVDR beam former has excellent performance of the interference suppression, it has ...

7

A Low Complexity 8 × 8 DCT Transform for Image Compression

A Low Complexity 8 × 8 DCT Transform for Image Compression

... possesses low computational complexity and is compared to state-of-the-art DCT approximations in terms of both algorithm complexity and peak signal-to-noise ratio ...

6

An Efficient FPGA-based Frequency Shifter for LTE/LTE-A Systems

An Efficient FPGA-based Frequency Shifter for LTE/LTE-A Systems

... some very superficial aspects of the proposed algorithm and architecture, the current paper presents a meticulous analysis on its design and im- plementation ...a low computational complexity ...

27

Computing the Moore Penrose Inverse of a Matrix Through Symmetric Rank One Updates

Computing the Moore Penrose Inverse of a Matrix Through Symmetric Rank One Updates

... a low computational ...its computational complexity will be in- cluded in the ...its computational com- plexity, a variant is also ...

5

A Highly Efficient Generalized Teager-Kaiser-Based Technique for LOS Estimation in WCDMA Mobile Positioning

A Highly Efficient Generalized Teager-Kaiser-Based Technique for LOS Estimation in WCDMA Mobile Positioning

... . (9) In [23], the authors demonstrated the good performance and low computational complexity of TK approach, espe- cially for ideal rectangular pulse shapes, when compared to well-known techniques ...

11

1.
													Lossless image compression technique using haar wavelet and vector transform

1. Lossless image compression technique using haar wavelet and vector transform

... Merav Huberoterner et al. proposed a new hyper spectral compression method. The authors focused on the extraction of background from the image data and compression of individual pixel. The method did not make any ...

7

Machine Learning Methods with Time Series Dependence

Machine Learning Methods with Time Series Dependence

... besides computational difficulty, this approach does not enforce transitivity and thus it is possible for one class to beat a second, the second a third, but the third to beat the ...

231

I/O MATCH (I/O MAT) AND BEHAVIORAL MATCH (BEH MAT) BASED SEMANTIC WEB SERVICE 
DISCOVERY

I/O MATCH (I/O MAT) AND BEHAVIORAL MATCH (BEH MAT) BASED SEMANTIC WEB SERVICE DISCOVERY

... In this paper, the new novelty method in the digital image analysis technique for geology applications is proposed. It analyzed the series of raw rock images from the mineralogy database of various classes. It initially ...

9

High Resolution Wideband Imaging of Fast Rotating Targets Based on Random PRI Radar

High Resolution Wideband Imaging of Fast Rotating Targets Based on Random PRI Radar

... In this paper, the RPRI signal associated with the CS theory is introduced for aliasing reduction to obtain well-focused image of extremely fast rotating targets in wideband radar. The SDD-CS processing scheme is applied ...

12

A complexity-performance-balanced multiuser detector based on artificial fish swarm algorithm for DS-UWB systems in the AWGN and multipath environments

A complexity-performance-balanced multiuser detector based on artificial fish swarm algorithm for DS-UWB systems in the AWGN and multipath environments

... its computational complexity growing exponen- tially with the number of active users makes it impracti- cal to use ...putational complexity problem is yet to be ...

13

The Computational Complexity of Untrapped Choice Procedures

The Computational Complexity of Untrapped Choice Procedures

... [14] Aziz, H., Brandt, F., Elkind, E. and Skowron, P. Computational Social Choice: The First Ten Years and Beyond. In: Steffen, B. and Woeginger, G., Eds., Computing and Software Science , Vol. 10000 of Lecture ...

10

Computational Complexity of Weighted Threshold Games

Computational Complexity of Weighted Threshold Games

... In this paper we consider the computational complexity of solution concepts for weighted threshold games. A weighted threshold game is one in which each player is given a nu- meric weight, and a coalition ...

6

PLANT GROWTH MODELING OF ZINNIA ELEGANS JACQ USING FUZZY MAMDANI AND L SYSTEM 
APPROACH WITH MATHEMATICA

PLANT GROWTH MODELING OF ZINNIA ELEGANS JACQ USING FUZZY MAMDANI AND L SYSTEM APPROACH WITH MATHEMATICA

... be very effective for the reliability evaluation of different types of multi-state systems ...high computational efficiency that allows it to be used in optimization procedures where a large number of ...

9

On the Computational Complexity of the Domination Game

On the Computational Complexity of the Domination Game

... A(·, ·, k+1) is correct. In a similar way, we prove the correctness of A 0 (·, ·, k +1). Now we prove that the algorithms run in the announced time complexity. The data structure we use for a partially dominated ...

8

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