79 p.This dissertation presents different ways to analysis chirp signals which are in heavy noise effectively, such as short-time Fourier transform (STFT), local polynomial Fourier transform (LPFT), and the bilinear Wigner-Ville distribution (WVD). The chirp signal also is called Linear Frequency-Modulated signal (LFM). There exist many real signals of chirp alike in the natural world to be analyzed. It has been applied widely in many fields of information system, such as communications, radar, sonar, earthquake recognition etc. So the high resolution of chirp signal analysis is required.Master of Science (Signal Processing
International audienceThis paper aims to detect and characterize a signal coming from frequency modu...
International audienceThis paper aims to detect and characterize a signal coming from frequency modu...
Ultrasonic non-destructive testing signal can be decomposed into a set of chirplet signals, which ma...
This paper suggested a technique called short time Fourier transform (STFT) for the parameter estima...
In many applications in signal processing, the discrete Fourier transform (DFT) plays a significant ...
In many applications in signal processing, the discrete Fourier transform (DFT) plays a significant ...
Several methods have been proposed to detect chirp signals buried in white noise, including wavelet ...
In this paper, the reassigned local polynomial periodogram along the frequency di-rection (RfLPP) is...
A new method for chirp signal detection based on Fractional Fourier Transform (FRFT) is described in...
An accurate estimator of chirp rate and initial frequency of the linear frequency modulation (LFM) s...
Abstract—In this paper, a new time–frequency analysis method known as the polynomial chirplet transf...
The detection of signals with varying frequency is important in many areas of physics and astrophysi...
A new parameter estimation method for linear chirp signal is proposed. This method utilizes the Disc...
Ultrasonic non-destructive testing signal can be decomposed into a set of chirplet signals, which ma...
Ultrasonic non-destructive testing signal can be decomposed into a set of chirplet signals, which ma...
International audienceThis paper aims to detect and characterize a signal coming from frequency modu...
International audienceThis paper aims to detect and characterize a signal coming from frequency modu...
Ultrasonic non-destructive testing signal can be decomposed into a set of chirplet signals, which ma...
This paper suggested a technique called short time Fourier transform (STFT) for the parameter estima...
In many applications in signal processing, the discrete Fourier transform (DFT) plays a significant ...
In many applications in signal processing, the discrete Fourier transform (DFT) plays a significant ...
Several methods have been proposed to detect chirp signals buried in white noise, including wavelet ...
In this paper, the reassigned local polynomial periodogram along the frequency di-rection (RfLPP) is...
A new method for chirp signal detection based on Fractional Fourier Transform (FRFT) is described in...
An accurate estimator of chirp rate and initial frequency of the linear frequency modulation (LFM) s...
Abstract—In this paper, a new time–frequency analysis method known as the polynomial chirplet transf...
The detection of signals with varying frequency is important in many areas of physics and astrophysi...
A new parameter estimation method for linear chirp signal is proposed. This method utilizes the Disc...
Ultrasonic non-destructive testing signal can be decomposed into a set of chirplet signals, which ma...
Ultrasonic non-destructive testing signal can be decomposed into a set of chirplet signals, which ma...
International audienceThis paper aims to detect and characterize a signal coming from frequency modu...
International audienceThis paper aims to detect and characterize a signal coming from frequency modu...
Ultrasonic non-destructive testing signal can be decomposed into a set of chirplet signals, which ma...