Modern pulse compression radar involves digital signal processing of high bandwidth pulses modulated with different coding schemes. One of the limiting factors in the radar’s design to achieve desired target range and resolution is the need of high rate analog-to-digital (A/D) conversion fulfilling the Nyquist sampling criteria. The high sampling rates necessitate huge storage capacity, more po...

I describe the sound synthesis and musical event language Nyquist and how it relates to dataow. Three styles of dataow are discussed. Then, Nyquist features are considered individually in relation to each of the three styles. Finally, we summarize the above results and discuss how the notion of behavioral abstraction in Nyquist naturally leads us to a concept that perhaps could be called object...

This paper describes the nyquist filter based technique to reduce the peak to average power ratio (PAPR) in multiple input multiple output Orthogonal Frequency Division Multiplication (MIMO-OFDM) systems. OFDM-MIMO system faces one of the main problems regarding PAPR of a transmitted signal. In present paper a nyquist filter along with conventional selected mapping (SLM) and alternative multise...

in this work, the effect of erosion on corrosion behavior of coal tar epoxy coating was evaluated usingelectrochemical impedance spectroscopy (eis) measurements. the surface morphology of the coatingwas examined by scanning electron microscope (sem) after 10, 20, 30, 45 and 60 min of erosion processat an impact angle of 90º. after 10 min of erosion process, the nyquist plots showed just a singl...

Two design procedures, one based on switched pulse shapes, and the other based on alternating projections in the time and frequency domain, are used to obtain interference and jitter-free or reduced interference and jitter (near-Nyquist) pulse-shaping filters. The latter method, that incorporates both frequencyand timedomain constraints into the linear filter design procedure, allows common pul...

A set of DCT domain properties for shifting and scaling by real amounts, and taking linear operations such as differentiation is described. The DCT coefficients of a sampled signal are subjected to a linear transform, which returns the DCT coefficients of the shifted, scaled and/or differentiated signal. The properties are derived by considering the inverse discrete transform as a cosine series...

Compressive Sensing is a novel technique where reconstruction of an image can be done with less number of samples than conventional Nyquist theorem suggests. The signal will pass through sensing matrix wavelet transformation to make the signal sparser enough which is a criterion for compressive sensing. The low frequency and high frequency components of an image have different kind of informati...

We introduce a novel algorithm to recover sparse and low-rank matrices from noisy and undersampled measurements. We pose the reconstruction as an optimization problem, where we minimize a linear combination of data consistency error, nonconvex spectral penalty, and nonconvex sparsity penalty. We majorize the nondifferentiable spectral and sparsity penalties in the criterion by quadratic express...

We report the implementation of an on-chip microscope system, termed fluorescence optofluidic microscope (FOFM), which is capable of fluorescence microscopy imaging of samples in fluid media. The FOFM employs an array of Fresnel zone plates (FZP) to generate an array of focused light spots within a microfluidic channel. As a sample flows through the channel and across the array of focused light...