This paper describes the design of an X-band balanced low noise amplifier (LNA) using an available HJFET device. The balanced LNA consists of a pair of electrically similar transistors whose input and output signals are divided or combined by 3 dB two-stage Wilkinson power dividers. The proposed balanced LNA is fabricated and measured. The measured results show that the noise figure is 1.30 dB ...

In an environment such as underwater channel where placing test equipments are difficult to handle, it is much practical to have hardware simulators to examine suitably designed transceivers (transmitter/receiver). The simulators of this kind will then allow researchers to observe their intentions and carry out repetitive tests to find suitable digital coding/decoding algorithms. In this p...

an integrated model for magnetoencephalography (meg) and functional magnetic resonance imaging (fmri) is proposed. in the proposed model, meg and fmri outputs are related to the corresponding aspects of neural activities in a voxel. post synaptic potentials (psps) and action potentials (aps) are two main signals generated by neural activities. in the model, both of meg and fmri are related to t...

The quality of signal at a particular location is essential to determine the performance of mobile system. The problem of poor network in Lagos, Nigeria needs to be addressed especially now that the attention is toward online learning and meetings. Existing empirical Path Loss (PL) models designed elsewhere are not appropriate for predicting the 4G Long-Term Evolution (LTE) signal in Nigeria. T...

An analytical methodology based on spectrophotometric and partial least squares (PLS) algorithm for thesimultaneous determination of ampicillin and penicillin in human plasma was developed and validated. Themultivariate model was developed as a binary calibration model and it was built and validated with anindependent set of synthesis and real samples in presence of matrix. It is shown how a de...

In this paper a nonparametric neural network (NN) technique for prediction of future values of a signal based on its past history is presented. This approach bypasses modeling, identification, and parameter estimation phases that are required by conventional parametric techniques. A multi-layer feed forward NN is employed. It develops an internal model of the signal through a training operation...