The third generation partnership project (3GPP) Long Term Evolution (LTE) is the newest technology to deal with the increasing need of mobile broadband services. Single-Carrier Frequency-Division Multiple Access (SC-FDMA) technology is being used for uplink (UL) transmission. But SC-FDMA system is also susceptible to CFO, comparable with other Orthogonal Frequency Division Multiple (OFDM) based...

In this paper, it has been shown that non-stationary received signals at ultra-wideband impulse radars can be addressed by Fourier series model with time-varying coefficients. Next, simply by computing statistical features of the coefficients, we show that this model can be considered as a sum of band-limited sources. Based on the unconditional orthonormal representation of band-limited signals...

Orthogonal frequency division multiplexing (OFDM) provides an effective and low complexity means of eliminating inter symbol interference for transmission over frequency selective fading channels. This technique has received a lot of interest in mobile communication research as the radio channel is usually frequency selective and time variant. In OFDM system, modulation may be coherent or diffe...

<span lang="EN-US">Motivated by the fact that complexity of computations is one main challenges in large multiple input output systems, known as massive multiple-input multiple-output (MIMO) this article proposes a low-complex minimum mean squared error (MMSE) Bayesian channel estimator for uplink channels such systems. First, we have discussed necessity covariance information MMSE and ho...

In this paper, we study community detection when observe $m$ sparse networks and a high dimensional covariate matrix, all encoding the same structure among notation="LaTeX">$n$ subjects. asymptotic regime where number of features nota...

This paper proposes a new multichannel hybrid method for dereverberation of speech signals in noisy environments. This method extends the use of a hybrid noise reduction method for dereverberation which is based on the combination of Generalized Sidelobe Canceller (GSC) and a single-channel noise reduction stage. In this research, we employ Transfer Function GSC (TF-GSC) that is more suitable f...

MOTIVATION With the development of high-throughput genomic and proteomic technologies, coupled with the inherent difficulties in obtaining large samples, biomedicine faces difficult small-sample classification issues, in particular, error estimation. Most popular error estimation methods are motivated by intuition rather than mathematical inference. A recently proposed error estimator based on ...

Channel estimation is a challenging problem for realizing efficient ambient backscatter communication (AmBC) systems. In this letter, channel in AmBC modeled as denoising and convolutional neural network-based deep residual learning denoiser (CRLD) developed to directly recover the coefficients from received noisy pilot signals. To simultaneously exploit spatial temporal features of signals, no...

Channel estimation is one of the main tasks in realizing practical intelligent reflecting surface-assisted multi-user communication (IRS-MUC) systems. However, different from traditional systems, an IRS-MUC system generally involves a cascaded channel with sophisticated statistical distribution. In this case, optimal minimum mean square error (MMSE) estimator requires calculation multidimension...