Multi-Resolution STAP for Enhanced Ultra-Low-Altitude Target Detection
In this paper, an ultra-low-altitude target (ULAT) detection approach, referred to as the multi-resolution space-time adaptive processing (STAP), is proposed to enhance the target detection performance in a missile-borne radar system.
Haodong Li +5 more
doaj +1 more source
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning: Principals, Recent Advances, and Applications [PDF]
Zeroth-order (ZO) optimization is a subset of gradient-free optimization that emerges in many signal processing and machine learning (ML) applications. It is used for solving optimization problems similarly to gradient-based methods. However, it does not
Sijia Liu +5 more
semanticscholar +1 more source
System Realization of Broad Band Digital Beam Forming for Digital Array Radar
Broad band Digital Beam Forming (DBF) is the key technique for the realization of Digital Array Radar (DAR). We propose the method of combination realization of the channel equalization and DBF time delay filter function by using adaptive Sample Matrix ...
Wang Feng +4 more
doaj +1 more source
A SIFT Algorithm for Bistatic SAR Imaging in Spaceborne Constant-offset Configuration (in English)
Focusing on the problem of the space-variance of the range cell migration term for bistatic Synthetic Aperture Radar (SAR), a Scaled Inverse Fourier Transform (SIFT) based imaging algorithm for constant-offset configuration bistatic SAR data processing ...
Chen Shi-chao +3 more
doaj +1 more source
Causal Diffusion Models for Generalized Speech Enhancement
In this work, we present a causal speech enhancement system that is designed to handle different types of corruptions. This paper is an extended version of our contribution to the “ICASSP 2023 Speech Signal Improvement Challenge”.
Julius Richter +5 more
doaj +1 more source
Improved range model based on parameter estimation for high resolution and high squint LEO SAR
Due to the curve of the LEO synthetic aperture radar (SAR) orbit and the rotation of the earth, the high resolution imaging for LEO SAR is always facing the problem of obtaining accurate range history.
Tong Gu +3 more
doaj +1 more source
Graph Signal Processing for Machine Learning: A Review and New Perspectives [PDF]
The effective representation, processing, analysis, and visualization of large-scale structured data, especially those related to complex domains, such as networks and graphs, are one of the key questions in modern machine learning.
Xiaowen Dong +4 more
semanticscholar +1 more source
Deep Learning for Audio Signal Processing [PDF]
Given the recent surge in developments of deep learning, this paper provides a review of the state-of-the-art deep learning techniques for audio signal processing. Speech, music, and environmental sound processing are considered side-by-side, in order to
Hendrik Purwins +5 more
semanticscholar +1 more source
Digital Signal Processing Over Analog Signal Processing
This paper provides a survey of digital signal processing over analog signal processing. Initially digital signal processing is developed to replace limited application based analog signal processing (ASP) of high cost. This paper describes the comparison of analog signal processing (ASP) and digital signal processing, technology under digital signal ...
Sushma Sharma +2 more
openaire +2 more sources
Cooperated Moving Target Detection Approach for PA-FDA Dual-Mode Radar in Range-Ambiguous Clutter
This paper proposes a cooperated range ambiguous clutter suppression method for moving target detection in the background of range-ambiguous clutter with a phased array (PA)–frequency diverse array (FDA) dual-mode radar.
Zhixin Liu +5 more
doaj +1 more source

