Visibility graph methods allow time series to mine non-Euclidean spatial features of sequences by using neural network algorithms. Unlike the traditional fixed-rule-based univariate visibility methods, a symmetric adaptive method is proposed orthogonal signals, applicable in-phase and quadrature (I/Q) signals for mapping radio modulated in automatic modulation classification tasks. The directly...

The synthesis method of the incoherent demodulation procedure two synchronous mutually non-orthogonal digital signals with frequency modulation is considered. In absence interference this degenerates into classical a signal modulation. When instantaneous power one significantly exceeds other, immunity latter approaches reception in channel additive white Gaussian noise without interference. Thi...

Orthogonal time frequency space (OTFS) modulation constitutes a promising technology for high-mobility scenarios. However, the detection of OTFS systems imposes substantial complexity. Hence, we propose novel orthogonal block (OB) based scheme significantly reducing complexity without any performance loss with integer Doppler shifts. This is achieved by recognizing that received signal can be p...

Applying the theorems of Mobius inverse and Dirichlet inverse, a general algorithm to obtain biorthogonal functions based on generalized Fourier series analysis is introduced. In the algorithm, the orthogonal function can be not only Fourier or Legendre series, but also can be any one of all orthogonal function systems. These kinds of biorthogonal function sets are used as scramble signals to c...

The performance of Hilbert spectrum (HS) in time-frequency representation (TFR) of audio signals is investigated in this paper. HS offers a fine-resolution TFR of time domain signals. It is derived by applying empirical mode decomposition (EMD), a newly developed data adaptive method for nonlinear and non-stationary signal analysis together with Hilbert transform. EMD represents any time domain...

Computer simulation is a more convenient and faster method obtaining photon correlation spectroscopy (PCS) signal. Based on orthogonal inverse wavelet transform (OIWT), a new simulation method is developed. This method considers that PCS signal of a single scale is composed of several subband signals with different characteristic. According to the relationship of power spectrum of PCS signal an...

Local-motion information can provide either 1-dimensional (1D) or 2-dimensional (2D) solutions. 1D signals occur when the aperture problem has not been solved, so each signal is an estimate of the local-orthogonal component of the object's motion. 2D signals occur when the aperture problem has been solved, so each signal is an estimate of the object's motion. Previous research (JoV, 2009, 9, 1-...