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This paper addresses the problem of acoustic noise reduction and speech enhancement in new telecommunication systems by adaptive filtering algorithms. We propose a new two-channel forward BSS algorithm based on signal prediction to give an automatic algorithm with a very nice behavior at the output. This algorithm is called the two-channel fast normalized least mean square (TCFNLMS) algorithm. This...
This paper considers the identification of impulse responses of systems with multiple inputs. An existing technique utilizing signal sets which are correlated with one another is modified to improve its convergence properties. A detailed example is presented to compare the performance between identification using a set of correlated signals and identification using a set of uncorrelated signals. In...
In this paper, we introduce an improved version of the recent noise reducer named zero phase method which can reduce white and impulse noises simultaneously without a priori information. The key idea of the proposed method is to apply the zero phase method iter-atively, whose theoretical justification is also provided in this paper. We also confirm the noise reduction performance of the proposed method...
A PolDemux method using Extended Kalman Filter is proposed, which is general and independent on channel RSOP models for RSOP tracing, and shows great RSOP tracing speed, moderate PMD tolerances, fast convergence and lower complexity.
Mode-multiplexed optical transmission is subject to mode coupling and potentially large differential mode delays. In most recent implementations, these effects are compensated for at the receiver by complex adaptive MIMO equalizers. Although frequency-domain MIMO equalization requires a moderate complexity compared to time-domain equalization, the long required FFTs may face implementation issues...
We proposed a novel blind polarization de-multiplexing technique for higher order modulation signals based on unscented Kalman filter (UKF) in 3D Stokes space. Simulation results show that UKF has better performance of de-multiplexing and convergence speed compared to extended Kalman filters (EKF).
This paper considers queue-driven, real-time interference mitigation aiming to maximize wireless network throughput. A best-response power control algorithm is derived from successive convex approximations, and a single power update is performed at each scheduling interval. In the high-SINR regime, the power control algorithm achieves maximum network throughput. Extending the approach to general SINR...
In this work, we acknowledge the existence of the accumulation of the loopback self-interference when AF protocol is made used of in FDTW relaying and the channel estimation of the loopback channel is not done perfectly as will seen in the section to follow. The accumulation of the loopback self-interference comes from the functionality of FD antenna, which will bring back the transmitted signal to...
A problem of closed-loop identification of a linear scalar plant with a bounded disturbance is considered. Tunings of the stabilizing controller are fixed, disturbance independent test signal of a bounded average power additively randomizes the control. For the plant identification, a stochastic version of the randomized Motskin procedure is used to solve systems of linear inequalities. A randomization...
The concatenation of the multiple-input multiple-output (MIMO) linear precoder with an outer forward error correction (FEC) code at the transmitter is investigated in this paper. At the receiver side, the turbo detection is taken into account. It iteratively exchanges the extrinsic information between a soft-demapper and a FEC soft-decoder. We firstly propose a new precoder named FI1 designed from...
System performance on cognitive femtocell network depends on power control method. Therefore, power control comparison between DPC and PCG is needed. Result showed that DPC had higher convergence rate than PCG but maximum values of DPC was only equal to SINR target. The proposed PCG at the convergent condition was able to exceed the SINR target, yet it had higher power than the previous PCG which...
Speech enhancement using adaptive filtering methods are known to give good signal recovery from the noisy speech signal. Among these, Least Mean Square (LMS) and Recursive Least Squares (RLS) algorithms are more popular. These algorithms have a constraint that correlating noise should be given as the reference signal for denoising. Therefore in all the adaptive algorithms, two microphones are used,...
In a classic implementation of lattice structure adaptive filters, the number of taps are often fixed making it hard to achieve the best potential performance. In this paper, we propose a novel dynamic method to search for the optimum tap-length while adapting the lattice joint process estimator coefficients. The concept of pseudo fractional tap-length (FT) is incorporated in the lattice joint process...
Electrocardiogram (ECG) signal is the electrical activity of the human heart. The ECG contains important information about the overall performance of the human cardiac system. Therefore, accurate examination of the ECG signal is very important but challenging task. ECG signal is often very low amplitude and contaminated with different types of noises due to its measurement process e.g. power line...
The LMS-based indirect frequency estimation algorithm (IFE) is reformulated using weighted least-square error criterion. Theoretical analyses for steady state bias and mean square error (MSE) are addressed. It has been shown that the proposed algorithm outperforms the conventional LMS-based algorithms in terms of convergence speed at the same value of MSE.
With the development of wireless communication, modulation classification (MC) has wide applications both in military and civilian communication, such as anti-interference, adaptive modulation and spectrum management. This paper proposes a bias removal blind MC algorithm (B-MCA) based on the preprocessing of the mixtures, the bias removal equivariant adaptive separation via independence (EASI) algorithm,...
The ZA-NLMS (for zero-attractor) represents arguably the seminal sparsity-aware gradient adaptive algorithm. As it is constraint by the ℓ1-norm of the filter weights, the underlying problem turns convex, hence with unique solution (in expected sense). Despite these friendly properties, the algorithm convergence and, more important, the best-performing sparsity tradeoff are yet to be effectively studied...
The major goal of research in Mobile Ad hoc Networks (MANET) is the efficient utilization of scarce available resources while improving network throughput and network lifetime. Energy consumption is one precious component of these resources as multimedia applications consumes enormous amount of energy during communication. To achieve the goal of optimal energy conservation of a MANET, an optimal power...
This paper considers the physical-layer secrecy design for full-duplex (FD) bidirectional communications in the presence of an eavesdropper (Eve). The goal of this work is to maximize the sum secrecy rate (SSR) of the bidirectional transmissions via appropriately designing the transmit covariance matrices at the legitimate nodes. To this end, we propose an alternating difference-of-concave (ADC) approach...
Error control coding scheme improves adequate redundancy in communication system. Turbo Code (TC) and its elevated form like 3-Dimensional Turbo Code (3D-TC) are considered as important channel coding scheme, which tend to Shannon limit. In the meantime, substantial development in the field of intelligent computational technique has motivated the researchers to apply this algorithm in various engineering...
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