This paper focuses on the joint synthesis of constant envelope transmit signal and receive filter aimed at optimizing radar performance in signal-dependent interference spectrally contested-congested environments. To ensure desired Quality Service (QoS) each communication system, a precise control energy injected by licensed/shared bandwidth is imposed. Besides, along with an upper bound to max...

In the presence of coherent interference, adaptive beamforming algorithm fails to form nulls in direction leading cancellation expect signal. To address this issue, paper proposes a interference suppression method with virtual array and multi-stage spatial smoothing (MSS). proposed method, weight acquired by (SS) is applied all subarrays generate array. Another then from using SS another The pr...

This paper studies signal detection in multiuser systems where the uncertainty is due to fading as well as a strong co-channel interference of the same form as that of the desired signal. In particular, unlike for the desired signal, no pilot for the interference signal is available for measuring its fading channel state. Still, the interference is a non-Gaussian process and treating it as Gaus...

This work presents a technique for the analysis of Facial Electromyogram signal activities to classify five different facial expressions for Computer-Muscle Interfacing applications. Facial Electromyogram (FEMG) is a technique for recording the asynchronous activation of neuronal inside the face muscles with non-invasive electrodes. FEMG pattern recognition is a difficult task for the researche...

As an important remote sensing technology, millimeter-wave radar is used for environmental in many fields due to its advantages of all-day, all-weather operation. With the increasing use radars, inter-radar interference becomes increasingly critical. Severe mutual degrades signal quality and affects performance post-processing, e.g., synthetic aperture (SAR) imaging target tracking. Aiming deal...

In this paper, Adaptive Neuro Fuzzy Inference System (ANFIS) is proposed to cancel the electrocardiogram (ECG) interference in electromyogram (EMG) signal. Conventional filtering techniques are not suitable due to an overlap in spectral content of the desired signal (EMG) and the interference. Comparison of results is made between the proposed technique and the other artificial intelligence tec...