12 Result(s)
within
Muhammad Moinuddin
Signal, Image and Speech Processing
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Article
Beamforming Techniques for MIMO-NOMA for 5G and Beyond 5G: Research Gaps and Future Directions
Effective sharing of the communication channel among many users, or multiple access (MA) techniques, can play a vital role in meeting the diverse demands of low latency, high reliability, massive connectivity,...
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Article
A Weighted Gaussian Kernel Least Mean Square Algorithm
In this work, a novel weighted kernel least mean square (WKLMS) algorithm is proposed by introducing a weighted Gaussian kernel. The learning behavior of the WKLMS algorithm is studied. Mean square error (MSE)...
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Article
Efficient Time-Varying q-Parameter Design for q-Incremental Least Mean Square Algorithm with Noisy Links
The quantum calculus provides an extra degree of freedom to search the local and global minima by inducing a q-parameter. Motivated by this fact, a quantum calculus-based noisy links incremental least mean square...
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Article
Diffusion Quantum-Least Mean Square Algorithm with Steady-State Analysis
Diffusion least mean square (LMS) algorithm is a well-known algorithm for distributed estimation where estimation takes place at multiple nodes. However, it inherits slow convergence speed due to its gradient ...
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Article
Improved Optimum Error Nonlinearities Using Cramer–Rao Bound Estimation
In this paper, we propose an efficient design of optimum error nonlinearities (OENL) for adaptive filters which minimizes the steady-state excess mean square error and attains the limit mandated by the Cramer–...
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Article
A State-Space Backpropagation Algorithm for Nonlinear Estimation
The fact that the knowledge of system model enhances the performance of any estimation algorithm is well known. However, the existing state-space-based algorithms are either linear such as the Kalman Filter an...
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Article
Sum Ergodic Capacity Analysis Using Asymptotic Design of Massive MU-MIMO Systems
This communication attempts to characterize the performance metrics of downlink Massive MU-MIMO systems impaired by cochannel interference and additive noise over a Rayleigh fading environment. We obtain close...
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Article
A Novel Fractional Gradient-Based Learning Algorithm for Recurrent Neural Networks
In this research, we propose a novel algorithm for learning of the recurrent neural networks called as the fractional back-propagation through time (FBPTT). Considering the potential of the fractional calculus...
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Article
q-State Space Least Mean Family of Algorithms
It is generally known that model-based estimation algorithms (such as Kalman filter and its family) perform better than the non-model-based algorithms [such as least mean square (LMS), recursive least squares]...
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Article
Open AccessMultiple access interference in MIMO-CDMA systems under Rayleigh fading: statistical characterization and applications
A major limiting factor in the performance of multiple-input-multiple-output (MIMO) code division multiple access (CDMA) systems is multiple access interference (MAI) which can reduce the system’s capacity and...
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Article
Open AccessFamily of state space least mean power of two-based algorithms
In this work, a novel family of state space adaptive algorithms is introduced. The proposed family of algorithms is derived based on stochastic gradient approach with a generalized least mean cost function J[k]=E
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Article
Open AccessA simple approach to evaluate the ergodic capacity and outage probability of correlated Rayleigh diversity channels with unequal signal-to-noise ratios
In this article, we propose a novel method to derive exact closed-form ergodic capacity and outage probability expressions for correlated Rayleigh fading channels with receive diversity. Unlike the existing wo...
