In this thesis, sparse Finite Impulse Response (FIR) equalizers are designed for sparse multi-path channels under a pre-defined Mean Squared Error (MSE) constraint. We start by examining the intrinsic sparsity of the Zero Forcing equalizers and the FIR Minimum MSE (MMSE) equalizers. Next the equalization MSE is formulated as a quadratic function of the equalizer coefficients. Both the Linear Eq...

The estimation of the propagation model parameters is a main issue in location systems. In these systems, distance estimations are obtained from received signal strength information, which is extracted from received packets. The precision of these systems mainly depends on the proper propagation model selection. In this paper we introduce an algorithm based on Bayesian filtering techniques, whi...

This paper proposes a Particle-Filter approach and a set of motion strategies to cooperatively localize a team of three robots. The allocated mission consists on the path following of a closed trajectory and obstacle avoidance in isolated and unstructured scenarios. The localization methodology required for the correct path following relies on distance and orientation measurements among the rob...

A band pass filter with tilted ladder shaped patch and U-shaped geometries is proposed in this paper. Feed are connected at the end of open ended stubs. Presented filter is suitable for the application of wireless application in L-band range. A flat passband response can be achieved when it is employed to implement a bandpass filter. The resonator also exhibits attenuation poles close to the ed...

This paper discusses the path towards asbtractive summarization and proposes a new knowledge-based methodology called KBABS as a step forward on this path. We propose to use both world knowledge, to identify useful content, and task knowledge, to filter out unreliable content, to generate more accurate summaries. This approach was implemented for guided summarization. The evaluation shows that,...

slow sand filters are as a proper technology for pre-treatment of raw water, with a fine and medium trubidity in small communities in developing countries. thus, with a minimum operation cost and minimum need for expest bodies have the maximum efficiency. the purpose of this research is carried out to evaluate the efficiency of two processes of horizontal flow roughing filter and vertical flow ...

This article presents a novel gaze control strategy for obstacle avoidance in the context of vision guided humanoid walking. The generic strategy is based on the maximization of the predicted visual information. For information/uncertainty management a new hybrid formulation of an Extended Kalman Filter is employed. The performance resulting from this view direction control scheme shows the dep...

In this paper, we present a method for acquiring, spatially filtering and viewing annotated videos captured with a full field of view multi-head camera moving along a path. We describe our tailored ego-motion recovery algorithm used for calculating the trajectoiy path of the panoramic head. We then focus on sampluig the plenoptic path efficiently according to geomeeic visibility events. Appropr...

In this paper, we present two novel hash-based indexing structures, based on Bloom filters, called breadth and depth Bloom filters, which in contrast to traditional hash based indexes, are able to represent hierarchical data and support path expression queries. We describe how these structures can be used for resource discovery in peer-to-peer networks. We have implemented both structures and o...

Existing handoff techniques connect a user to a nearby access point whenever it is available along the user’s moving path. If the path is not fully Wi-Fi covered, the user may suffer from frequent disconnections. In this work, we propose a pre-scheduled handoff scheme, which determines a quality-aware path so a mobile user can move across an Urban Wi-Fi Mesh network with uninterrupted Internet ...