Wavelet transform digital sound processing to identify wild bird species

Author(s):  
Rong Sun ◽  
Yihenew Wondie Marye ◽  
Hua-An Zhao
2003 ◽  
Vol 27 ◽  
pp. 107-114 ◽  
Author(s):  
M.A. De Marco ◽  
E. Foni ◽  
L. Campitelli ◽  
E. Raffini ◽  
M. Delogu ◽  
...  

2021 ◽  
pp. 30-33
Author(s):  
N. Yu. Koroleva

The development of digital competencies of students is currently one of the main pedagogical tasks. The solution of this task is possible by paying attention to issues related to the skills of students to create their own digital content, for example, multimedia, combining various types of information (text, graphics, video and audio). The article provides a brief analysis of the content of teaching issues related to the study of digital sound processing technologies in a school informatics course. Taking into account the relevance of this issue, a thematic module "Digital Sound" is proposed, the content of which does not require binding to specific software. When  studying the module, the emphasis is on mastering specific technologies for processing sound information. The module can be implemented as an optional course for students in 7–9th grades and/or as an elective course for students in 10–11th grades. At the same time, particular blocks of the module can be used at various stages of teaching informatics at school


2020 ◽  
Vol 16 (1) ◽  
pp. 20190763 ◽  
Author(s):  
Nicola Hemmings ◽  
Simon Evans

Prenatal mortality is typically overlooked in population studies, which biases evolutionary inference by confounding selection and inheritance. Birds represent an opportunity to include this ‘invisible fraction’ if each egg contains a zygote, but whether hatching failure is caused by fertilization failure versus prenatal mortality is largely unknown. We quantified fertilization failure rates in two bird species that are popular systems for studying evolutionary dynamics and found that overwhelming majorities (99.9%) of laid eggs were fertilized. These systems thus present opportunities to eliminate the invisible fraction from life-history data.


Author(s):  
Sergio Silva ◽  
Salviano Soares ◽  
Antonio Valente ◽  
Sylvain T. Marcelino

Nature ◽  
1992 ◽  
Vol 360 (6405) ◽  
pp. 668-670 ◽  
Author(s):  
P. Berthold ◽  
A. J. Helbig ◽  
G. Mohr ◽  
U. Querner

Author(s):  
Guillaume Boutard ◽  
Catherine Guastavino ◽  
James M. Turner

2016 ◽  
Vol 23 (24) ◽  
pp. 25224-25231 ◽  
Author(s):  
Arnoldo A. M. Quero ◽  
Daniela M. Ferré ◽  
Agustín Zarco ◽  
Pablo F. Cuervo ◽  
Nora B. M. Gorla

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