The Finale of Mahler's Fifth Symphony: Long-Range Musical Thought

1987 ◽  
Vol 112 (2) ◽  
pp. 257-279
Author(s):  
Carolyn Baxendale

It is clear that all the experience I had gained in writing the first four symphonies completely let me down in this one- for a completely new style demanded a new technique.Twenty-Five years ago a prominent Mahler enthusiast could describe the finale of Mahler's Fifth Symphony as ‘a windy, uninspired stretch of note-spinning, literally scraping the barrel in search of music’. Few people nowadays would subscribe to this view: indeed the upsurge of interest in the work of other ‘late Romantic’ composers has perhaps served to sharpen our admiration for Mahler's exceptional powers of invention and his no less extraordinary mastery of large-scale form. Yet we are not really any closer to explaining just how such extended works are held together and given shape, particularly in the absence of specific extra-musical concepts such as those of the ‘Wunderhorn’ symphonies.

Electronics ◽  
2018 ◽  
Vol 7 (12) ◽  
pp. 417 ◽  
Author(s):  
Enrique Navarro-Camba ◽  
Santiago Felici-Castell ◽  
Jaume Segura-García ◽  
Miguel García-Pineda ◽  
Juan Pérez-Solano

Wireless Sensor Networks (WSNs) is a group of spatially dispersed autonomous sensor devices, named motes. These motes have a microcontroller, sensors, are powered by AA or AAA batteries, and mainly have the ability to communicate using the IEEE 802.15.4 standard. The motes communicate between them inside the WSN exchanging packets using a multi-hop routing. They use a very low amount of power (below 100 mW). This limits the maximum communication distance between motes within the WSN. Usually, one mote acts as a gateway to other networks and this mote is also called sink or simply Base Station (BS), and the data collected by the sensors of each mote are sent to this mote. The maximum distance between the BS and the nearest mote is below 100 m because of the power limitations of the motes. If the WSN-BS distance is above this boundary, the communication will surely fail. We propose a new technique in order to achieve a long range communication from the WSN, for instance to communicate to a Low Earth Orbit (LEO) satellite. Many proposals in the literature based on Collaborative Beamforming (CB), also known as Distributed or Cooperative Beamforming, for these long range communications are found, however the synchronization of clocks is an almost impossible task given the simplicity and cheapness of the architecture of the motes. To overcome this problem, we propose a new technique, named Stochastic Collaborative Beamforming (SCB), in which we take advantage of the synchronization errors of the clocks. In SCB, it is possible to obtain the adequate time delay that permits the interference or sufficient gain in the direction of the receiver. This gain is obtained from interfering independent signals coming from each mote of the WSN, using a repetition scheme. Although it does not get all the nominal gain that could be obtained in case of a perfect synchronization, it does get a sufficient gain to reach the BS with limited power consumption.


2020 ◽  
Vol 10 (7) ◽  
pp. 2382
Author(s):  
Angel David Pedroza ◽  
José I. De la Rosa ◽  
Rogelio Rosas ◽  
Aldonso Becerra ◽  
Jesús Villa ◽  
...  

A new technique based on the Band-Limited Phase-Only Correlation (BLPOC) function to deal with acoustic individual identification is proposed in this paper. This is a biometric technique suitable for limited data individual bird identification. The main advantage of this new technique, in contrast to traditional algorithms where the use of large-scale datasets is assumed, is its ability to identify individuals by the use of only two samples from the bird species. The proposed technique has two variants (depending on the method used to analyze and extract the bird vocalization from records): automatic individual verification algorithm and semi-automatic individual verification algorithm. The evaluation of the automatic algorithm shows an average precision that is over 80% for the identification comparatives. It is shown that the efficiencies of the algorithms depend on the complexity of the vocalizations.


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