Recursive inverse algorithm: Mean-square-error analysis
The recently proposed recursive inverse (RI) adaptive algorithm has shown improved
performance compared to some well-known adaptive algorithms [1]. However, there has …
performance compared to some well-known adaptive algorithms [1]. However, there has …
Impulse detection and rejection methods for radio systems
H Saarnisaari, P Henttu - IEEE Military Communications …, 2003 - ieeexplore.ieee.org
Impulses that exist in the nature or are artificial may severely decrease the performance of
any radio system including communication and interception receivers and radars. This …
any radio system including communication and interception receivers and radars. This …
Performance of Orthogonal Delay-Doppler Division Multiplexing Modulation with Imperfect Channel Estimation
The orthogonal delay-Doppler division multiplexing (ODDM) modulation is a recently
proposed multi-carrier modulation that features a realizable pulse orthogonal with respect to …
proposed multi-carrier modulation that features a realizable pulse orthogonal with respect to …
On the equivalence of maximum SNR and MMSE estimation: Applications to additive non-Gaussian channels and quantized observations
The minimum mean-squared error (MMSE) is one of the most popular criteria for Bayesian
estimation. Conversely, the signal-to-noise ratio (SNR) is a typical performance criterion in …
estimation. Conversely, the signal-to-noise ratio (SNR) is a typical performance criterion in …
Concentrated signal extraction using consecutive mean excision algorithms
J Vartiainen - 2010 - oulurepo.oulu.fi
Spread spectrum communication systems may be affected by other types of signals called
outliers. These coexisting signals are typically narrow (or concentrated) in the considered …
outliers. These coexisting signals are typically narrow (or concentrated) in the considered …
Robust detection of ultra-wideband signals in non-Gaussian noise
A robust receiver is proposed for time-hopping pulse-position-modulation impulse radio
systems transmitting over frequency-selective ultra-wideband channels, which aims to …
systems transmitting over frequency-selective ultra-wideband channels, which aims to …
Integrated dynamic scheduling of hard and QoS degradable real-time tasks in multiprocessor systems
A Mittal, G Manimaran, CSR Murthy - Journal of Systems Architecture, 2000 - Elsevier
Many time-critical applications require predictable performance and tasks in these
applications have deadlines to be met. For tasks with hard deadlines, a deadline miss can …
applications have deadlines to be met. For tasks with hard deadlines, a deadline miss can …
Robust minimax detection of a weak signal in noise with a bounded variance and density value at the center of symmetry
G Shevlyakov, K Kim - IEEE transactions on information theory, 2006 - ieeexplore.ieee.org
In practical communication environments, it is frequently observed that the underlying noise
distribution is not Gaussian and may vary in a wide range from short-tailed to heavy-tailed …
distribution is not Gaussian and may vary in a wide range from short-tailed to heavy-tailed …
Discrete-wavelet-transform recursive inverse algorithm using second-order estimation of the autocorrelation matrix
The recursive-least-squares (RLS) algorithm was introduced as an alternative to LMS
algorithm with enhanced performance. Computational complexity and instability in updating …
algorithm with enhanced performance. Computational complexity and instability in updating …
A sparse variable step-size LMS algorithm for impulsive noise
MS Salman, F El-Sayed… - 2019 3rd International …, 2019 - ieeexplore.ieee.org
In sparse system identification, exploiting the sparsity property improves the performance of
the least mean square (LMS) algorithm. The improvement is achieved by adding an l 0 or l 1 …
the least mean square (LMS) algorithm. The improvement is achieved by adding an l 0 or l 1 …