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In this paper we discuss Gauss-Markov Random Field (GMRF) based on multiple sub-aperture decomposition method for the analysis of targets in complex-valued high-resolution SAR data. Gauss-Markov Random Field (GMRF) model with a quadratic energy function as a parametric analysis parameterizes the spectogram of the signal, whereas sub-aperture decomposition method exploits the holographic property of...
In this paper we compare parametric and non-parametric method for the analysis of complex valued high-resolution SAR data. Gauss-Markov Random Field (GMRF) model with a quadratic energy function as a parametric analysis parameterizes the spectogram of the signal, whereas nonlinear short time Fourier transform (STFT) method, the method based on time frequency analysis (TFA) as a non-parametric approach...
The sophisticated digital signal processing (DSP) at the core of modern communication receivers implicitly assumes the availability of accurate analog-to-digital converters (ADCs). As communication speeds scale up, however, high-rate, high-precision ADCs are either not available, or are too costly or power-hungry. In this paper, we survey our recent results on DSP-centric receiver design with sloppy...
In this paper, we present a systematic method for the designing fault tolerant reversible arithmetic circuits for finite field or Galois fields of the form GF(2m). To tackle the problem of errors in computation, we propose error detection and correction using multiple parity prediction technique based on low density parity check (LDPC) code. For error detection and correction, we need additional garbage...
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