Slow-Moving Ship Target Extraction Using Complex Wavelet Packets
نویسنده
چکیده
We report on a technique for the radar ship signal extraction from contaminated sea clutter. Group normalization (GN) is presented to overcome that conventional wavelet packet coefficients not appropriately represent the strength of signal. The l entropy is extended to l one to improve the performance. The symmetric, complex wavelet packets are used for radar signal processing.
منابع مشابه
A New Algorithm for Voice Activity Detection Based on Wavelet Packets (RESEARCH NOTE)
Speech constitutes much of the communicated information; most other perceived audio signals do not carry nearly as much information. Indeed, much of the non-speech signals maybe classified as ‘noise’ in human communication. The process of separating conversational speech and noise is termed voice activity detection (VAD). This paper describes a new approach to VAD which is based on the Wavelet ...
متن کاملWavelet Analysis for RADARSAT Exploitation
This document reports on Wavelet Analysis for RADARSAT Exploitation (WARE), research software that aims to demonstrate the applications of wavelet analysis to RADARSAT ocean imagery. Wavelets are a mathematical paradigm that can be used to partition data into various frequency components, allowing the study of each component at a resolution matched to its scale. Wavelets are an efficient image ...
متن کاملAutomatic Sleep Stages Detection Based on EEG Signals Using Combination of Classifiers
Sleep stages classification is one of the most important methods for diagnosis in psychiatry and neurology. In this paper, a combination of three kinds of classifiers are proposed which classify the EEG signal into five sleep stages including Awake, N-REM (non-rapid eye movement) stage 1, N-REM stage 2, N-REM stage 3 and 4 (also called Slow Wave Sleep), and REM. Twenty-five all night recordings...
متن کاملWavelet analysis of the extreme wave load test of a flexible ship model
This study describes an application of a Daubechies wavelet function to analyze measured ship model data. The records of a self-propelled, flexible model of the S175 container ship moving in waves are analyzed by FFT and wavelet methods. It is shown that the high frequency component of the recorded rigid body motions can be omitted without substantially affecting the main features of the data s...
متن کاملA Novel Ship Detection Method Based on Gradient and Integral Feature for Single-Polarization Synthetic Aperture Radar Imagery
With the rapid development of remote sensing technologies, SAR satellites like China's Gaofen-3 satellite have more imaging modes and higher resolution. With the availability of high-resolution SAR images, automatic ship target detection has become an important topic in maritime research. In this paper, a novel ship detection method based on gradient and integral features is proposed. This meth...
متن کامل