scholarly journals Analyzing spectral envelope position and shape in a large set of sustained musical instrument sounds

Author(s):  
Kai Siedenburg
2021 ◽  
Vol 149 (6) ◽  
pp. 3715-3726
Author(s):  
Kai Siedenburg ◽  
Simon Jacobsen ◽  
Christoph Reuter

Author(s):  
Xudong Weng ◽  
O.F. Sankey ◽  
Peter Rez

Single electron band structure techniques have been applied successfully to the interpretation of the near edge structures of metals and other materials. Among various band theories, the linear combination of atomic orbital (LCAO) method is especially simple and interpretable. The commonly used empirical LCAO method is mainly an interpolation method, where the energies and wave functions of atomic orbitals are adjusted in order to fit experimental or more accurately determined electron states. To achieve better accuracy, the size of calculation has to be expanded, for example, to include excited states and more-distant-neighboring atoms. This tends to sacrifice the simplicity and interpretability of the method.In this paper. we adopt an ab initio scheme which incorporates the conceptual advantage of the LCAO method with the accuracy of ab initio pseudopotential calculations. The so called pscudo-atomic-orbitals (PAO's), computed from a free atom within the local-density approximation and the pseudopotential approximation, are used as the basis of expansion, replacing the usually very large set of plane waves in the conventional pseudopotential method. These PAO's however, do not consist of a rigorously complete set of orthonormal states.


Author(s):  
Michael schatz ◽  
Joachim Jäger ◽  
Marin van Heel

Lumbricus terrestris erythrocruorin is a giant oxygen-transporting macromolecule in the blood of the common earth worm (worm "hemoglobin"). In our current study, we use specimens (kindly provided by Drs W.E. Royer and W.A. Hendrickson) embedded in vitreous ice (1) to avoid artefacts encountered with the negative stain preparation technigue used in previous studies (2-4).Although the molecular structure is well preserved in vitreous ice, the low contrast and high noise level in the micrographs represent a serious problem in image interpretation. Moreover, the molecules can exhibit many different orientations relative to the object plane of the microscope in this type of preparation. Existing techniques of analysis requiring alignment of the molecular views relative to one or more reference images often thus yield unsatisfactory results.We use a new method in which first rotation-, translation- and mirror invariant functions (5) are derived from the large set of input images, which functions are subsequently classified automatically using multivariate statistical techniques (6). The different molecular views in the data set can therewith be found unbiasedly (5). Within each class, all images are aligned relative to that member of the class which contributes least to the classes′ internal variance (6). This reference image is thus the most typical member of the class. Finally the aligned images from each class are averaged resulting in molecular views with enhanced statistical resolution.


2020 ◽  
Vol 31 (2) ◽  
pp. 81-86
Author(s):  
Wido Nager ◽  
Tilla Franke ◽  
Tobias Wagner-Altendorf ◽  
Eckart Altenmüller ◽  
Thomas F. Münte

Abstract. Playing a musical instrument professionally has been shown to lead to structural and functional neural adaptations, making musicians valuable subjects for neuroplasticity research. Here, we follow the hypothesis that specific musical demands further shape neural processing. To test this assumption, we subjected groups of professional drummers, professional woodwind players, and nonmusicians to pure tone sequences and drum sequences in which infrequent anticipations of tones or drum beats had been inserted. Passively listening to these sequences elicited a mismatch negativity to the temporally deviant stimuli which was greater in the musicians for tone series and particularly large for drummers for drum sequences. In active listening conditions drummers more accurately and more quickly detected temporally deviant stimuli.


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