Special issue: advanced techniques for radar signal processing
نویسندگان
چکیده
منابع مشابه
Advanced Ground Penetrating Radar Signal Processing Techniques
Ground penetrating radar (GPR) is a non-destructive geophysical method that uses electromagnetic waves to image the subsurface. A typical GPR system has three main components: transmitter and receiver, directly connected to the transmitting and receiving antennas, and a control unit. Electromagnetic pulses are transmitted into the subsurface and the earth response is recorded. The GPR method is...
متن کاملAdvanced Signal Processing Techniques for Bioinformatics
The success of bioinformatics in recent years has been driven, and speech recognition. For example, Fourier analysis methods are used to elucidate the relationship between sequence structure and function; wavelet analysis methods have been applied in sequence comparison and classification; and various image processing methods have been developed to improve microarray image quality. The developm...
متن کاملAdvanced Signal Processing Techniques for MIMO
Rapid growth in mobile computing and other wireless multimedia services is inspiring many research and development activities concerning high-speed wireless communication systems. The main challenges in this area include the development of efficient coding and modulation techniques to improve the quality and spectral efficiency of wireless systems. Multiple-input multiple-output (MIMO) techniqu...
متن کاملOptimization of Digital Signal Processing Techniques for Surveillance RADAR
Digital Signal Processing techniques for ground surveillance RADAR has been thoroughly investigated and optimized for an improved detection of target. Using the established techniques like Pulse compression, Fast Fourier Transform and Windowing, the present work optimizes the selection of pulse coding techniques, window type and different filters.The work proposes techniques to mitigate inheren...
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ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2017
ISSN: 1687-6180
DOI: 10.1186/s13634-017-0481-0