Results 71 to 80 of about 2,602 (222)
Review and Analysis of Digital Signal Processing Algorithms for Coherent Optical Satellite Links
ABSTRACT Coherent optical satellite links enable high‐throughput communication and high accuracy ranging to and between satellites. Due to the ever‐increasing demand for throughput, wavelength division multiplexing of polarization multiplexed optical signals is being considered as a solution to provide high‐speed optical satellite links.
Carl Valjus, Raphael Wolf, Juraj Poliak
wiley +1 more source
Improved order selection method for hidden Markov models: A case study with movement data
Abstract Hidden Markov models (HMMs) are a versatile statistical framework commonly used in ecology to characterize behavioural patterns from animal movement data. In HMMs, the observed data depend on a finite number of underlying hidden states, generally interpreted as the animal's unobserved behaviour. The number of states is a crucial hyperparameter,
Fanny Dupont +3 more
wiley +1 more source
We first proposed a novel framework for prefrontal internal event‐driven EEG data analysis, which permits event‐related analysis for experimental paradigms with low cognitive load and absence of external task events, and reveals internal event‐related neural oscillatory power specific to depressed emotional processes as well as abnormal low‐frequency ...
Qinglin Zhao +6 more
wiley +1 more source
Comparative Study of Turbo Decoding Techniques: An Overview
In this contribution, we provide an overview of the novel class of channel codes referred to as turbo codes, which have been shown to be capable of performing close to the Shannon Limit.
Woodard, J.P., Hanzo, L.
core
Throughput improvement on bidirectional Fano algorithm [PDF]
Recently, we introduced a bidirectional Fano algorithm (BFA) [10] which can achieve much higher decoding throughput compared to the regular unidirectional Fano algorithm (UFA), especially at low signal-to-noise-ratio (SNR).
Koçak, T +7 more
core +1 more source
Separating Noisy TCP/IP Session Flows Based on Natural Redundancy Decoding
This paper optimizes the mean shift clustering algorithm for session flow separation in noisy environments by introducing a channel matching index for better window radius selection and using a majority decision mechanism for clustering centre updates. Tested on the CIC‐IDS‐2017 dataset, the proposed method achieves flow separation at a bit error rate ...
Guoxian Yu +3 more
wiley +1 more source
Today, there arevarious statistical models for the discrete simulation of the rainfall occurrence/non-occurrence with more emphasizing on long-term climatic statistics.
M. Ghamghami, J. Bazrafshan
doaj +1 more source
Data detection algorithms for perpendicular magnetic recording in the presence of strong media noise [PDF]
As the throughput and density requirements increase for perpendicular magnetic recording channels, the presence of strong media noise degrades performance.
Jackson, Robert Charles
core
On Viterbi decoding for time-varying convolutional codes
The Viterbi decoding technique has been extended for time-varying convolutional codes. The problem has been presented as a discrete-times, time-varying regulator control problem, and dynamic programming has been utilized to explain the decoding ...
Bedi, J. S., Kamal, A. K.
core +1 more source
A Novel Method for Decoding Any High-Order Hidden Markov Model
This paper proposes a novel method for decoding any high-order hidden Markov model. First, the high-order hidden Markov model is transformed into an equivalent first-order hidden Markov model by Hadar’s transformation. Next, the optimal state sequence of
Fei Ye, Yifei Wang
doaj +1 more source

