In this paper we are proposing a method which evaluate the performance of V-BLAST MIMO system in different consideration of rayleigh fading enviorement to get better performance of the system. In VBLAST MIMO system some of linear detection technique can be used for interference cancellation .Here we are using MMSE-IC for the same.Our proposed system give better error rate performance with the u...

In wireless communications, spatial (via antenna arrays) and temporal (excess bandwidth) diversity may be exploited to simultaneously equalize a user of interest while canceling or reducing (cochannel) interfering users (CCI). This can be done using the Interference Canceling Matched Filter (ICMF) which we introduced previously. The ICMF depends on the channel for the user of interest, to be es...

A very low voltage 9th order linear phase baseband switched capacitor (SC) filter has been designed to be used as part of a cellular GSM (Global System Mobile) receiver. A Gaussian-to-6dB filter of the order of seven is chosen and a second order function is added to reduce the group delay variations around. The filter uses a fully differential topology to increase the dynamic range and reduce t...

Classical target detection schemes are usually obtained by deriving the likelihood ratio under Gaussian hypothesis and replacing the unknown background parameters by their estimates. In most assumed to be Gaussian with zero mean [or with a known mean vector (MV)] and with an unknown covariance matrix (CM). When the MV is unknown, it has to be jointly estimated with the CM. In this paper, adapti...

We present a novel Bayesian method for pattern recognition in images affected by unknown optical degradations and additive noise. The method is based on a multiscale/multiorientation subband decomposition of both the matched filter (original object) and the degraded images. Using this image representation within the Bayesian framework, it is possible to make a coarse estimation of the unknown O...

Blood vessel extraction is an important step for abnormality detection and for obtaining good retinopathy diabetic diagnosis in digital retinal images. The use of filter bank has shown to be a powerful technique for detecting blood vessels. In particular, the Matched Filter is appropriate and efficient for this task and in combination with other methods the blood vessel detection can be improve...

We present a novel approach for low-complexity receive filter design well-suited for cellular massive MIMO systems. Our robust matched filter design allows to exploit the channel structure in terms of covariance matrices to improve the performance in the face of pilot-contamination, while basically keeping the complexity of a matched filter. The proposed design generalizes several previous appr...

The InAlN/GaN heterojunction appears to be a new alternative to the common AlGaN/GaN configuration with higher sheet charge density and higher thermal stability, promising very high power and temperature performance as well as robustness. This new system opens up the possibility to scale the barrier down to 5 nm while maintaining nearly its ideal materials and device properties. The status, foc...

This paper proposes a class of covariance estimators based on information divergences in heterogeneous environments. In particular, the problem of covariance estimation is reformulated on the Riemannian manifold of Hermitian positive-definite (HPD) matrices. The means associated with information divergences are derived and used as the estimators. Without resorting to the complete knowledge of t...

In Lecture 2 we have learned about matched filtering. We made a number of hypotheses, including that the ‘signal’ is constant, even if it is possibly corrupted by noise. Two questions arise: how do we estimate the signal from noisy examples? (Simple answer: average the examples). What do we do when the signal is not constant? The answer to this second question is more complicated and depends on...