This paper presents a new approach to robust beamforming based on fuzzy logic theory that is suitable for both point and scattered sources. The presented technique is based on the optimum beamformer and makes it robust to an imperfect estimate of the direction of arrival (DOA) even when powerful interferences are within the uncertainty range of the desired source. This robust approach solves th...

In the recent years, the optimization techniques using evolutionary algorithms have been widely used to solve electromagnetic problems. These algorithms use thinning the antenna arrays with the aim of reducing the complexity and thus achieving the optimal solution and decreasing the side lobe level. To obtain the optimal solution, thinning is performed by removing some elements in an array thro...

An echo canceller removes undesired echo in fullduplex speech communication. The cancellation is done by modeling the echo path impulse response with an adaptive finite impulse response filter and subtracting the echo estimate from the received signal. A typical diagram of an echo canceller is depicted in Figure 1. The signal x(n) and v(n) represent the far-end and near-end speeches respectivel...

The removal of random noises in electrocardiogram (ECG) using adaptive noise canceller (called single-input adaptive noise canceller) without reference input is presented in this paper. Common approaches for noise cancellation require reference input that must be well-correlated with the noise part of the primary input. However, the reference input may be limited in availability and hence, resu...

In this paper, we propose a novel adaptive beamforming algorithm with low signal distortion capability and high computational efficiency. The proposed algorithm incorporates the crosstalk-resistant adaptive noise canceller (CTRANC) in place of the usual adaptive interference canceller (AIC). Doing so, a better signal leakage estimate is provided at the adaptive interference canceller input but ...