Topic
Hadamard transform
About: Hadamard transform is a research topic. Over the lifetime, 7262 publications have been published within this topic receiving 94328 citations.
Papers published on a yearly basis
Papers
More filters
••
TL;DR: In this article, the product relationships are coded by a Hadamard differences method, where the combined daughter spectrum of a selected half of the precursors is subtracted from the combined spectrum of the remaining precurors, so that no ions are lost.
Abstract: The simultaneous collection of multiple spectra using tandem and multidimensional mass spectrometry from multiple precursors yields correspondingly enhanced sensitivity through Hadamard transform deconvolution. For MS n spectra, the product relationships are coded by a Hadamard differences method wherein the combined daughter spectrum of a selected half of the precursors is subtracted from the combined daughter spectrum of the remaining precursors, so that no ions are lost.
75 citations
••
TL;DR: In this paper, a monotonic nondecreasing mapping connected with Hadamard type inequalities in two variables is given and some Hadamards type inequalities for Lipschizian mapping in two variable are established.
Abstract: A monotonic nondecreasing mapping connected with Hadamard
type inequalities in two variables is given and some Hadamard type inequalities
for Lipschizian mapping in two variables are established.
75 citations
••
TL;DR: A fast mode decision algorithm for depth intracoding that selectively omits unnecessary depth-modeling modes in the mode decision process with negligible loss of coding efficiency is proposed.
Abstract: The 3D video extension of High Efficiency Video Coding (3D-HEVC) is the state-of-the-art video coding standard for the compression of the multiview video plus depth format. In the 3D-HEVC design, new depth-modeling modes (DMMs) are utilized together with the existing intraprediction modes for depth intracoding. The DMMs can provide more accurate prediction signals and thereby achieve better compression efficiency. However, testing the DMMs in the intramode decision process causes a drastic increase in the computational complexity. In this paper, we propose a fast mode decision algorithm for depth intracoding. The proposed algorithm first performs a simple edge classification in the Hadamard transform domain. Then, based on the edge classification results, the proposed algorithm selectively omits unnecessary DMMs in the mode decision process. Experimental results demonstrate that the proposed algorithm speeds up the mode decision process by up to 37.65% with negligible loss of coding efficiency.
75 citations
••
75 citations
••
TL;DR: It is indicated that the slant orthogonal transformation derived from Hadamard matrix is most advantageous for compression of TV signal bandwidth.
Abstract: We discuss orthogonal transformation as a method to compress frequency bandwidth for TV signals. We indicate that the slant orthogonal transformation derived from Hadamard matrix is most advantageous for compression of TV signal bandwidth. Results of simulation show that unweighted Sp-p/Nq rms of approximately 32 dB was obtained with 2.5 bits per sample on picture showing human face.
75 citations