Full-duplex unmanned aerial vehicle (UAV) communication systems are characterized by mobility, so the self-interference (SI) channel characteristics change over time constantly. In full-duplex UAV systems, difficulty is to eliminate SI in time-varying channels. this paper, we propose a pilot-aid digital cancellation (SIC) method. First, pilot inserted into data sequence uniformly, and modeled a...

Adaptive algorithms lead to adjust the system coefficients based on the measured data. This paper presents a dichotomous coordinate descent method to reduce the computational complexity and to improve the tracking ability based on the variable forgetting factor when there are a lot of changes in the system. Vedic mathematics is used to implement the multiplier and the divider in the VFF equatio...

This paper presents an alternative technique for the adaptive control of power electronic converter circuits. Specific attention is given to the adaptive control of a dc–dc converter. The proposed technique is based on a simple adaptive filter method and uses a one-tap finite impulse response (FIR) prediction error filter (PEF). The method is computationally efficient and based around a dichoto...

In areas of signal processing and communications such as antenna array beamforming, adaptive filtering, multi-user and multiple-input multiple-output (MIMO) detection, channel estimation and equalization, echo and interference cancellation and others, solving linear systems of equations often provides an optimal performance. However, this is also a very complicated operation that designers try ...

Training a structured prediction model involves performing several loss-augmented inference steps. Over the lifetime of the training, many of these inference problems, although different, share the same solution. We propose AI-DCD, an Amortized Inference framework for Dual Coordinate Descent method, an approximate learning algorithm, that accelerates the training process by exploiting this redu...

Resumo— Recentemente, filtros adaptativos amplamente lineares estão sendo usados para acessar completamente estatı́sticas de segunda ordem de sinais impróprios, com o objetivo de melhorar a estimação. Essa caracterı́stica torna esses filtros vantajosos em relação aos seus equivalentes estritamente lineares, apesar de apresentarem maior complexidade computacional. Nesse sentido, com o intuito de r...

The affine projection (AP)-type algorithms produce a good tradeoff between convergence speed and complexity. As the projection order increases, the convergence rate of the AP algorithm is improved at a relatively high complexity. Many efforts have been made to reduce the complexity. However, most of the efficient versions of the AP-type algorithms are based on the fast approximate filtering (FA...