Discrete chirp-Fourier transform and its application to chirp rate estimation

By Xiang-Gen Xia. IEEE Transactions on Signal Processing, 2000

360 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Applied Mathematics, Oceanography

View Paper: https://www.semanticscholar.org/paper/baab02ce2ccfc3fe186ef7c02314ec31f47b542b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Igor Djurovic
2. You He
3. Ningbo Liu
4. Xiaolong Chen
5. Jian Guan

In Applied Mathematics

1. Ljubisa A. Stankovic
2. Igor Djurovic
3. Muqaddas Naureen
4. You He
5. Ningbo Liu
6. Wafa Iqbal
7. Saad B. Qaisar
8. Ervin Sejdic

In Oceanography

1. Igor Djurovic
2. You He
3. Ningbo Liu
4. Xiaolong Chen
5. Jian Guan

Citations in the corpus

• Fractional Fourier transform as a signal processing tool: An overview of recent developments (2011, background): “The FRFT can also be realized by the quadratic phase transform (QPT) [71,72], which is defined as QPðm,nÞ ¼ Zþ1 1 xðtÞe jmt jnt2 dt ð59Þ Compared with (1), the FRFT can be computed by mapping variables m and n of the QPT onto a and u of the FRFT.”
• Maneuvering Target Detection via Radon-Fractional Fourier Transform-Based Long-Time Coherent Integration (2014, methodology): “Typical methods for solving the DFM effect may be the phase matching (PM) approach [16], De-chirp method, chirp-Fourier transform [17], chirplet transform [18], and fractional Fourier transform (FRFT) based methods [19], [20], etc.”
• Compressive sensing: From theory to applications, a survey (2013, background): “It also offers better resolution over classical RADARs whose resolution can be limited by time-frequency uncertainty principles [72], [73].”