In this work we study the topic of high-resolution adaptive sampling of a given deterministic signal and establish a clear connection to classic analyses of high-rate quantization. More specifically, we formulate solutions to the task of optimal high-resolution sampling of one-dimensional signals, which are shown as the counterparts of well-known results for high-rate scalar quantization. Our r...

K. G. Arun,* Bala R. Iyer, B. S. Sathyaprakash, Siddhartha Sinha,3,5,x and Chris Van Den Broeck4,k LAL, Université Paris-Sud, IN2P3/CNRS, Orsay, France GReCO, Institut d’Astrophysique de Paris–C.N.R.S., Paris, France Raman Research Institute, Bangalore, 560 080, India School of Physics and Astronomy, Cardiff University, 5, The Parade, Cardiff, United Kingdom, CF24 3YB Department of Physics, Ind...

Superiority of poly-alphabetic sequences (PAS) for pulse compression radar over the binary and ternary sequences was established earlier. However, the enlarged alphabets in poly–alphabetic sequences deteriorate the noise and Doppler robustness at higher lengths in high resolution radar (HRR) systems. In this paper, poly-semantic sequences (PSS) with restricted alphabet {+1,-1} are considered an...

The sinusoidal transform (ST) provides a sparse representation for speech signals by utilizing several psychoacoustic phenomena. It is well suited to applications in signal enhancement because the signal is represented in a parametric manner that is easy to manipulate. The multi{resolution sinusoidal transform (MRST) has the additional advantage that it is both particularly well suited to typic...

In this paper, we present nonlinear interpolation schemes for image resolution enhancement. The Multilayer perceptron (MLP) interpolation schemes based on the wavelet transform and subband filtering are proposed. Because estimating each sub-image signal is more effective than estimating the whole image signal, pixels in the low-resolution image are used as input signal of the MLP to estimate al...

This paper brief the use of very high precision Noise shaping sigma delta modulation techniques for high applications that require a signal-to-noise ratio and high resolution. A continuous-time delta-sigma A/D modulator with OSR of 40, signal bandwidth of 1.5625 MHz and clocked at 500MHz is implemented. This achieves 78 dB SNR and 12 bits of resolution.

An emerging class of sensor network applications involves the acquisition of high-resolution signals using low-power wireless sensor nodes. Examples include monitoring acoustic, seismic, and vibration waveforms in bridges [9], industrial equipment [10], volcanoes [19], and animal habitats [1, 12]. These systems share the goal of acquiring high data-rate (100 Hz or higher), high-fidelity data ac...

Scanning thermoacoustic tomography was explored in the microwave region of the electromagnetic spectrum. Short microwave pulses were used to induce acoustic waves by thermoelastic expansion in biological tissues. Cross sections of tissue samples were imaged by a linear scan of the samples while a focused ultrasonic transducer detected the time-resolved thermoacoustic signals. Based on the micro...

The frequency contents of the non-stationary signals vary with time. For proper characterization of such signals, a smart time-frequency representation is necessary. Classically, the STFT (short-time Fourier transform) is employed for this purpose. Its limitation is the fixed timefrequency resolution. To overcome this drawback an enhanced STFT version is devised. It is based on the signal drive...