Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged...

This paper considers the recovery of continuous time signals from the magnitude of its samples. It uses a combination of structured modulation and oversampling and provides sufficient conditions on the signal and the sampling system such that signal recovery is possible. In particular, it is shown that an average sampling rate of four times the Nyquist rate is sufficient to reconstruct almost e...

A joint frame synchronization and reversed spectrum signal differentiation method for DRM Plus digital broadcasting systems is proposed. The proposed scheme can detect the fast frame synchronization and determine whether normal spectrum signal or reversed spectrum signal without carrier frequency offset & sampling frequency offset compensation, enabling fast frame synchronization. The proposed ...

This paper suggests an upside-down tree-based orthogonal matching pursuit UDT-OMP compressive sampling signal reconstruction method in wavelet domain. An upside-down tree for the wavelet coefficients of signal is constructed, and an improved version of orthogonal matching pursuit is presented. The proposed algorithm reconstructs compressive sampling signal by exploiting the upside-down tree str...

In this paper, a wideband receiver with high dynamic range is proposed. At the front end of the proposed receiver, a sensing waveform is used to sense the input signal. And by adjusting the sensing waveform so as to project the interference to zero, the receiver can eliminate the strong interference signal adaptively before sampling. Both the theoretic analysis and simulation show that this met...

This paper presents an analysis of acoustic pattern registration for a new means of human computer interaction. It discusses the relationship between variations in correlation coefficients and signal pattern registration parameters including signal sampling rates, amplitude digitisation resolutions and recorded signal lengths. Experimental results have confirmed that the accuracy of acoustic pa...

We propose a sampling theorem that reconstructs a consistent signal from noisy under-determined samples. Consistency in the context of sampling theory means that the reconstructed signal yields the same measurements as the original ones. The conventional consistent sampling theorems for the underdetermined case reconstruct a signal from noiseless samples in a complementary subspace L in the rec...

In diffusion magnetic resonance imaging (dMRI), the diffusion signal can be reconstructed from measurements collected on single or multiple spheres in q-space using a spherical harmonic expansion. The number of measurements that can be acquired is severely limited and should be as small as possible. Previous sampling schemes have focused on using antipodal symmetry to reduce the number of sampl...

The paper addresses the issue of the send-on-delta data collecting strategy to capture information from the environment. Send-on-delta concept is the signal-dependent temporal sampling scheme, where the sampling is triggered if the signal deviates by delta defined as the significant change of its value. It is an attractive scheme for wireless sensor networking due to effective energy consumptio...