نتایج جستجو برای: orthogonal forward selection
تعداد نتایج: 475617 فیلتر نتایج به سال:
Dimensionality reduction via canonical variate analysis (CVA) is important for pattern recognition and has been extended variously to permit more flexibility, e.g. by “kernelizing” the formulation. This can lead to over-fitting, usually ameliorated by regularization. Here, a method for sparse, multinomial kernel discriminant analysis (sMKDA) is proposed, using a sparse basis to control complexi...
This study considers the identification problem for a class of nonlinear parameter-varying systems associated with the following scenario: the system behaviour depends on some specifically prescribed parameter properties, which are adjustable. To understand the effect of the varying parameters, several different experiments, corresponding to different parameter properties, are carried out and d...
In this paper, selection criteria of Forward Error Correction (FEC) codes, in particular, the convolutional codes are evaluated for a novel air interface scheme, called Low Density Signature Orthogonal Frequency Division Multiple Access (LDS-OFDM). In this regard, the mutual information transfer characteristics of turbo Multiuser Detector (MUD) are investigated using Extrinsic Information Trans...
This paper considers the impact of different user allocation metrics and strategies on Orthogonal Frequency Division Multiple Access schemes with multi-user beamforming and receive diversity. Here, only a selected subset of all existing users is scheduled on each subcarrier. Thus, if the number of transmit antennas is less than the number of users, user selection is required. Employing strong f...
Wireless Relaying is a promising solution to overcome the channel impairments and provides high data rate coverage that appears for beyond 3G mobile communications. In this paper we present end to end BER performance of dual hop wireless communication systems equipped with multiple Decode and Forward relays over Rayleigh fading channel with the best relay selection. We compare the BER performan...
The two main Amplify and Forward cooperative protocols are the orthogonal (OAF) and the nonorthogonal one (NAF). In this paper, we consider a given source, N relays, a destination, and a channel realization and we try to resolve the following problem: what is the best way to communicate: without cooperation or using one of the two cooperative protocols? This is equivalent to a power-sharing pro...
In present scenario, there is a need of improving our future wireless communication system, since system suffers from the problem of low spectral efficiency, low link reliability, medium data rates and the problem of frequency selective fading. This problem can be solved by using OFDM signals. The advantage of OFDM is that it has the capacity of overcoming the frequency selective fading problem...
In this paper we propose an optimisation technique to choose a user independent feature subset from the input feature set for a DTW-based text-dependent speaker verification system. The optimisation technique is based on the l-r algorithm, which in essence is the combination of sequential forward and backward search algorithms. The performance criterion used for optimum feature selection is the...
This paper considers a cooperative Orthogonal Frequency Division Multiplexing (OFDM)-based cognitive radio network, where the primary system leases a fraction of its subcarriers to the secondary system in exchange for the secondary users (SUs) acting as decode-and-forward relays. Our aim is to determine an fair resource allocation strategy among the primary users and SUs as so to maximize the n...
We extract the informative features of gyroscope signals using the discrete wavelet transform (DWT) decomposition and provide them as input to multi-layer feed-forward artificial neural networks (ANNs) for leg motion classification. Since the DWT is based on correlating the analyzed signal with a prototype wavelet function, selection of the wavelet type can influence the performance of wavelet-...
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