Generalised Fourier transform-domain technique for narrowband interference suppression in CDMA communication systems

2001 ◽  
Vol 37 (10) ◽  
pp. 652 ◽  
Author(s):  
P. Azmi ◽  
M. Nasiri-Kenari
Keyword(s):  
Fourier Transform ◽  
Communication Systems ◽  
Interference Suppression ◽  
Transform Domain ◽  
Narrowband Interference ◽  
Fourier Transform Domain

scholarly journals Compressive Sensing in Signal Processing: Algorithms and Transform Domain Formulations

2016 ◽  
Vol 2016 ◽  
pp. 1-16 ◽  
Author(s):  
Irena Orović ◽  
Vladan Papić ◽  
Cornel Ioana ◽  
Xiumei Li ◽  
Srdjan Stanković
Keyword(s):  
Signal Processing ◽  
Fourier Transform ◽  
Compressive Sensing ◽  
Signal Reconstruction ◽  
Signal Acquisition ◽  
Transform Domain ◽  
Hermite Transform ◽  
Time Frequency ◽  
Reconstruction Methods ◽  
Fourier Transform Domain

Compressive sensing has emerged as an area that opens new perspectives in signal acquisition and processing. It appears as an alternative to the traditional sampling theory, endeavoring to reduce the required number of samples for successful signal reconstruction. In practice, compressive sensing aims to provide saving in sensing resources, transmission, and storage capacities and to facilitate signal processing in the circumstances when certain data are unavailable. To that end, compressive sensing relies on the mathematical algorithms solving the problem of data reconstruction from a greatly reduced number of measurements by exploring the properties of sparsity and incoherence. Therefore, this concept includes the optimization procedures aiming to provide the sparsest solution in a suitable representation domain. This work, therefore, offers a survey of the compressive sensing idea and prerequisites, together with the commonly used reconstruction methods. Moreover, the compressive sensing problem formulation is considered in signal processing applications assuming some of the commonly used transformation domains, namely, the Fourier transform domain, the polynomial Fourier transform domain, Hermite transform domain, and combined time-frequency domain.

Chaotic encryption of images in the fractional Fourier transform domain using different modes of operation

2013 ◽  
Vol 9 (3) ◽  
pp. 611-622 ◽  
Author(s):  
Heba M. Elhoseny ◽  
Hossam E. H. Ahmed ◽  
Alaa M. Abbas ◽  
Hassan B. Kazemian ◽  
Osama S. Faragallah ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Fractional Fourier Transform ◽  
Transform Domain ◽  
Chaotic Encryption ◽  
Modes Of Operation ◽  
Fourier Transform Domain
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