Context-Aware Smartphone Services

2011 ◽  
pp. 24-47 ◽  
Author(s):  
Igor Bisio ◽  
Fabio Lavagetto ◽  
Mario Marchese
Keyword(s):  
Pattern Recognition ◽  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Signal ◽  
Context Information ◽  
Context Aware ◽  
Fundamental Part ◽  
Context Aware Service

The contribution of this chapter is to propose a survey of several methods to extract context information, by employing a smartphone, based on Digital Signal Processing and Pattern Recognition approaches, aimed at answering to the following questions about the user’s surroundings: what, who, where, when, why and how. It represents a fundamental part of the overall process needed to provide a complete context-aware service.

scholarly journals A Speaker Identity Recognition System based on Deep Learning

2019 ◽  
Vol 3 (5) ◽  
Author(s):  
Yili Shen
Keyword(s):  
Pattern Recognition ◽  
Signal Processing ◽  
Deep Learning ◽  
Speech Recognition ◽  
Digital Signal Processing ◽  
Digital Signal ◽  
Recognition System ◽  
Speech Recognition System ◽  
Identity Recognition ◽  
Voice Control

This paper describes a branch of pattern recognition and lies in the field of digital signal processing. It is a speech recognition system of identifying different people speaking based on deep learning. In brief, this method can be used as intelligent voice control like Siri.

Method of estimation of hidden correlation of narrowband noise signals

2019 ◽  
pp. 34-39 ◽  
Author(s):  
E.I. Chernov ◽  
N.E. Sobolev ◽  
A.A. Bondarchuk ◽  
L.E. Aristarhova
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
New Technology ◽  
Digital Signal ◽  
Measuring Instruments ◽  
Central Frequency ◽  
Pearson Criterion ◽  
Useful Signal ◽  
Band Limited ◽  
Narrowband Noise

The concept of hidden correlation of noise signals is introduced. The existence of a hidden correlation between narrowband noise signals isolated simultaneously from broadband band-limited noise is theoretically proved. A method for estimating the latent correlation of narrowband noise signals has been developed and experimentally investigated. As a result of the experiment, where a time frag ent of band-limited noise, the basis of which is shot noise, is used as the studied signal, it is established: when applying the Pearson criterion, there is practically no correlation between the signal at the Central frequency and the sum of signals at mirror frequencies; when applying the proposed method for the analysis of the same signals, a strong hidden correlation is found. The proposed method is useful for researchers, engineers and metrologists engaged in digital signal processing, as well as developers of measuring instruments using a new technology for isolating a useful signal from noise – the method of mirror noise images.

Sign in / Sign up

Export Citation Format

Share Document