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Toplam kayıt 18, listelenen: 1-10
A novel image compression method based on classified energy and pattern building blocks
(Springer International Publishing AG, 2011)
In this paper, a novel image compression method based on generation of the so-called classified energy and pattern blocks (CEPB) is introduced and evaluation results are presented. The CEPB is constructed using the training ...
Compression of ECG signals using variable-length classified vector sets and wavelet transforms
(Springer International Publishing AG, 2012)
In this article, an improved and more efficient algorithm for the compression of the electrocardiogram (ECG) signals is presented, which combines the processes of modeling ECG signal by variable-length classified signature ...
Further analysis of stability of uncertain neural networks with multiple time delays
(Springer International Publishing AG, 2014-01-27)
This paper studies the robust stability of uncertain neural networks with multiple time delays with respect to the class of nondecreasing activation functions. By using the Lyapunov functional and homeomorphism mapping ...
An analysis of stability of a class of neutral-type neural networks with discrete time delays
(Hindawi Publishing Corporation, 2013)
The problem of existence, uniqueness, and global asymptotic stability is considered for the class of neutral-type neural network model with discrete time delays. By employing a suitable Lyapunov functional and using the ...
Maximum likelihood blind channel estimation for space-time coding systems
(Hindawi Publishing Corporation, 2002-05)
Sophisticated signal processing techniques have to be developed for capacity enhancement of future wireless communication systems, In recent years, space-time coding is proposed to provide significant capacity gains over ...
A new method to represent speech signals via predefined signature and envelope sequences
(Hindawi Publishing Corporation, 2007)
A novel systematic procedure referred to as "SYMPES" to model speech signals is introduced. The structure of SYMPES is based on the creation of the so-called predefined "signature S = {S(R)(n)} and envelope E = {E(K) (n)}" ...
Modeling of electrocardiogram signals using predefined signature and envelope vector sets
(Hindawi Publishing Corporation, 2007)
A novel method is proposed to model ECG signals by means of "predefined signature and envelope vector sets (PSEVS)." On a frame basis, an ECG signal is reconstructed by multiplying three model parameters, namely, predefined ...
Multiband filter design using generalized mapping functions and synthesis with lumped resonators
(Czech Technical University, 2020-06-01)
In this paper, a new multiband frequency mapping function is proposed to design multiband filter. The presented mapping function is a generalized form of the sequential low pass to band pass (LPtoBP) transformation. The ...
New sufficient criteria for global robust stability of neural networks with multiple time delays
(Işık University Press, 2012)
In this paper, we study global robust asymptotic stability of the equilibrium point for neural networks with multiple time delays. By employing suitable Lyapunov functionals, we derive a set of delay independent sufficient ...
Dual band filter design using real frequency technique and frequency transformation
(Istanbul Univ, Fac Engineering, Elektrik-Elektronik Muhendisligi Bolumu, 2017)
In this work, we present a frequency transformation based dual-band filter design approach using scattering based real frequency technique. In the design process, conventional low-pass to band-pass frequency transformation ...