Multiple-Input Multiple-Output (MIMO) systems promise higher data rates and better quality of service for wireless communications, by using multiple antennas at both the transmitter and receiver. However, applying MIMO technology at small portable wireless devices is faced with the problem of mutual coupling between antenna elements due to the limited space to put multiple antennas. It is shown...

In deep learning-based local stereo matching methods, larger image patches usually bring better accuracy. However, it is unrealistic to increase the size of patch without restriction. Arbitrarily extending will change method into global method, and accuracy be saturated. We simplified existing Siamese convolutional network by reducing number parameters propose an efficient CNN based structure, ...

Aalto University, P.O. Box 11000, FI-00076 Aalto www.aalto.fi Author Anu Lehtovuori Name of the doctoral dissertation On wideband matching circuits in handset antenna design Publisher School of Electrical Engineering Unit Department of Radio Science and Engineering Series Aalto University publication series DOCTORAL DISSERTATIONS 123/2015 Field of research Circuit Theory Manuscript submitted 21...

In this paper, a neural network model reference adaptive system speed observer is designed, which can be used in speed control of linear induction motors (LIMs). Dynamical equations of LIM have been considered accurate. In other words, the end effect and the electrical losses of the motor have been included in the motor equivalent circuit. Then equations of the reference model and adaptive mode...

Though the logical correctness of an asynchronous circuit is independent of implementation delays, the cycle time of an asynchronous circuit is of great importance to the designer. Oftentimes, the insertion of buffers to such circuits reduces the cycle time of the circuit without affecting the logical correctness of the circuit. This optimization is called slack matching. In this thesis the sla...

The particle filter (PF) is a novel technique that has sufficiently good estimation results for the nonlinear/non-Gaussian systems. However, PF is inconsistent that caused mainly by loss of particle diversity in resampling step and unknown a priori knowledge of the noise statistics. This paper introduces a new modified particle filter called adaptive unscented particle filter (AUPF) to overcome th...