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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...
In this paper, we address the problem of noise reduction and speech enhancement by adaptive filtering algorithms using the forward blind source separation structure (FBSS), which is often combined with adaptive algorithms to efficiently cancel the acoustic noise at the output. In this paper, we propose to combine the FBSS with the Simplified Fast Transversal Filter (SFTF) algorithm, where the adaptation...
The demand for radio spectrum is rapidly increasing for applications such as mobile telephony, digital video broadcasting (DVB), wireless local area networks (WiFi), and wireless sensor networks (ZigBee), and internet of things. Indeed, these resources are becoming increasingly scarce or even nonexistent. This scarcity has led to the concept of Cognitive Radio (CR) communication which has used to...
In this paper, an effective method for minimizing a convex criterion is proposed to allow its application in solving inverse problems related to the X-ray tomography. Proximal algorithms associated to total variation regularization are used knowing that they have high quality to converge. The main objective is to obtain high quality reconstructed images. We applied this algorithm to non-destructive...
DOA estimation in array processing uses MUSIC (Multiple Signal Classification) algorithm, mainly. It's the most investigated technique and is very attractive because of its simplicity. However, it meets drawbacks and fails when only very few samples are available and the sources are very close or highly correlated. In these conditions, the problem is more intricate and the detection of targets becomes...
This paper presents an analyzing on the prediction of a primary signal in cognitive radio networks using a hybrid algorithm based on two parts, know as: an alpha-beta filter and a neyman-pearson (NP) detector. Today, it is important to predict a primary signal in a cluttered environment and especially when the secondary user (SU) is moving. However, the challenges of this contribution are based on...
Polar codes are a new candidates channel coding techniques for the 5th generation of wireless communication. It is due to their explicit construction with very low encoding and decoding complexity and also they are the first ever provably capacity achieving codes of symmetric binary discrete memoryless (SB-DMS) channel. The capacity-achieving performance of such codes is based on a new concept called...
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