Performance Analysis of Covariance Matrix Estimates in Impulsive Noise

Estimation of Covariance Matrix in Signal Processing When the Noise Covariance Matrix is Arbitrary

Analysis of Impulsive Powertrain Noise

Refining vehicle NVH is a key aspect of the powertrain development process. Powertrain NVH refinement is impacted not only by overall sound levels, but also sound quality. Powertrain sound quality and therefore the level of NVH refinement can be adversely impacted by excessive impulsive noise. A process is outlined in this study to comprehend the occurrence of impulsive powertrain noise. Additi...

Performance of DMT Systems Under Impulsive Noise

The performance of DMT systems is studied in impulsive noise channels by using Middleton's Class A noise distribution. A statistical model is developed to generate Class A distributed impulsive noise samples and this model is used for the performance analysis. An exact expression is derived for the subchannel SER. By employing the central limit theorem, the subchannel SER is further simplified....

The Performance Analysis Based on SAR Sample Covariance Matrix

Multi-channel systems appear in several fields of application in science. In the Synthetic Aperture Radar (SAR) context, multi-channel systems may refer to different domains, as multi-polarization, multi-interferometric or multi-temporal data, or even a combination of them. Due to the inherent speckle phenomenon present in SAR images, the statistical description of the data is almost mandatory ...

Effects of estimated noise covariance matrix in optimal signal detection

There is loss of efficiency when an estimated noise covariance matrix is used in the place of the unknown true noise covariance matrix in the construction of the optimum filter for signal detection. In the case of detecting a single signal specified by a real or a complex vector, we investigate the extent of this loss by obtaining an exact confidence bound for the realized signal to noise ratio...