Capturing mobile underwater pseudonoise synchronous signal using multi‐strategy in waveform domain

Pseudonoise Sequences

Capturing the signal

High-resolution structures provide new insights into how an RNA-protein complex recognizes the signal that targets membrane proteins to the endoplasmic reticulum before they aggregate.

Signal Detection in Underwater Sound Using the Empirical Mode Decomposition

In this article, the empirical mode decomposition (EMD) is introduced to the problem of signal detection in underwater sound. EMD is a new method pioneered by Huang et al. for non-linear and nonstationary signal analysis. Based on the EMD, any input data can be decomposed into a small number of intrinsic mode functions (IMFs) which can serve as the basis of non-stationary data for they are comp...

Experimental Study of an underwater Acoustic communication system with Pseudonoise signals

Abstrac.t-An experimental study of underwater communications systems with a large ensemble of pseud-onoi_s_e_signals js described. Experiments were.performed in shadow antl "onuergence zones (at distancejof 40, 90' 525, and 694 km) in deep-water ocean regions and in a shallow sea (at a disiance of r72 i.rni, Transmission was accompanied by multipath propagation, fading, and scattering of signal...

Multistrategy learner using Complimentary Algorithms

We present a hybrid learning algorithm called Learning Algorithm using SEarch Rings (LASER). LASER combines Naive Bayes and 1-Nearest neighbor learners in a multistrategic way. The Naive Bayes and the Nearest Neighbor algorithms seem to compliment each other in their search technique and their bias and present a interesting category of learning algorithms called complimentary learners. LASER us...