In this paper, we present the performance of a parallel interference cancellation (PIC) scheme in Code division multiple access with cyclic prefix (CP-CDMA) systems and proposed a new model for cyclic prefix code division multiple access with less complexity and good resistance to near-far effect. This method is mostly used for broadband wireless communication in the uplink. Parallel interferen...

This thesis investigates the deployment and performance of indoor/outdoor DS-CDMA systems assuming both conventional receivers and multiuser detection receivers at the base stations. In the first part of this thesis, measured propagation data and a DS-CDMA system performance testbed (based on a Monte Carlo analysis) are used to quantify both the downlink and uplink outage probabilities for a va...

Successive interference cancellation is a promising technique for increasing the capacity of uplink CDMA channels. In this paper, the technique is extended to a low-earth orbit satellite channel. Unlike terrestrial cellular channels, satellite channels typically have a limited multipath profile, but significant closed-loop power control error due to the round-trip delay incurred in communicatin...

In this paper we consider the scenario where a compressive sensing system acquires a signal of interest corrupted by an interfering signal. Under mild sparsity and orthogonality conditions on the signal and interference, we demonstrate that it is possible to efficiently filter out the interference from the compressive measurements in a manner that preserves our ability to recover the signal of ...

The study presents analytical, simulation, and experimental analyses of amplitude cancellation of motor-unit action potentials (APs) in the interference electromyogram (EMG) and its relation to the size of the spike-triggered average (STA) EMG. The amount of cancellation of motor-unit APs decreases monotonically as a function of the ratio between the root mean square (RMS) of the motor-unit AP ...

In this paper the neural network based lter for nonlinear interference cancellation is developed. The Hyper Radial Basis Function (HRBF) network with associated Manhattan learning algorithm is proposed for non-linear noise cancellation under assumption that reference noise is available. The HRBF network is a generalization of radial basis function (RBF) and generalized radial basis function (GR...