Coprime sampling for nonstationary signal in radar signal processing

Nonlinear and Nonstationary Signal Processing

Interpolate to Enhance for NonStationary Signal Processing

Enhancing non-stationary signals is crucial for many applications, such as speech recognition, audio communication, and bio-signals analysis. The present paper investigates a novel processing structure (alternative to the overlap-add scheme), based on an interpolated zero-phase FIR filtering. The proposed structure accounts for slow signal non-stationarity, and also natively supports time and f...

Software Radar Signal Processing

Software infrastructure is a growing part of modern radio science systems. As part of developing a generic infrastructure for implementing Software Radar systems, we have developed a set of reusable signal processing components. These components are generic software based implementations for use on general purpose computing systems. The components allow for the implementation of signal processi...

Cognitive Radar Signal Processing

Cognitive radar is a new paradigm to conceive the next radar generation characterized by unique and amazing features inspired to mental abilities and processes related to knowledge. Introduced by Haykin [1] and Guerci [2], it is attracting huge attention within the radar community during the last few years. The key concept is that radar system performance can be enhanced through a continuous an...

Discrete Wavelet Transfom for Nonstationary Signal Processing

In engineering, digital signal processing techniques need to be carefully selected according to the characteristics of the signals of interest. The frequency-based and time-frequency techniques have been frequently mentioned in some literature (Cohen, 1995). The frequencybased techniques (FBTs) have been widely used for stationary signal analysis. For nonstationary signals, the time-frequency t...