Nowadays, environmental sound classification (ESC) has become one of the most studied
research areas. Sound signals that are indistinguishable from the human auditory systems …

Helicopter detection is an important part of the safety and security during flight. Most of the
aerodynamic noise of modern helicopters comes from the main rotor, the main rotor …

Harmonic denoising is one of the important preprocessing steps before extracting harmonic
signal characteristics. Several signal processing techniques have been developed and …

This chapter provides an introduction to the area of research and starts with an overview of
the sonars which are the primary means for acquiring the target signals. Sonars play a key …

This paper presents a set of optimizations in learning algorithms commonly used for training
radial basis function (RBF) neural networks. These optimizations are applied to a RBF …

In this paper, we propose a target detection method using sparse representation with
element and construction combination (ECC) feature. The proposed method consists of the …

Distributed and decentralized sensing offers a new and promising paradigm for surveillance,
reconnaissance, and situation awareness. This paper introduces a new fully decentralized …

This report describes a radar signal processing technique for detecting helicopter targets
based on the micro-Doppler components of the received signal, in a low SNR environment …

In this paper, the effect of the main rotor of an armed helicopter on radar return signal and its
modulation condition are considered. After analyzing references and experimental data, this …

与高斯噪声相比, 拖尾有更多的异常值, 利用传统的神经网络不能有效的检测信号.
该文提出一种基于中值滤波的鲁棒神经网络进行处理, 首先利用中值滤波抑制异常值 …