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Detection of key factors of non-standard pieces in series production
Beňo, Tomáš ; Blecha, Petr (referee) ; Bednář, Josef (advisor)
The presented thesis deals with the issue of statistical quality control of a specific production process. The thesis presents a range of statistical tools that can be used to identify the factors causing a high proportion of non-standard pieces. The diploma thesis practically introduces the application of these quality management tools to the production process characterized by an increased proportion of non-standard pieces, in which the factors causing their occurrence are unknown, and as following the thesis in detail introduces the approach how to detect these factors. The last part of the work summarizes the recommendations handed over to the company in order to verify the conclusions of the thesis.
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Comparison of Algorithms for Creation of Artificial Room Reverberations
Beňo, Tomáš ; Balík, Miroslav (referee) ; Frenštátský, Petr (advisor)
The aim of the Bachelor thesis is to get acquainted with and find out possibilities of control of the reverberation properties of established algorithms for creation of artificial room reverberation. The algorithms proposed by Jon Dattorro, William Gardner and Jean-Marc Jot are implemented in the Matlab environment. Their characteristics and comparison are determined. Subsequent implementation of Jot's algorithm into the VST plug-in module in Matlab using the Audio System Toolbox extension enables to study the properties and behavior of the algorithm that handles real-time sound. The resulting plug-in can then be tested in DAW as a host application.
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Restoration of signals with limited instantaneous value using a psychoacoustic model
Beňo, Tomáš ; Rajmic, Pavel (referee) ; Záviška, Pavel (advisor)
The master's thesis deals with the restoration of audio signals that have been damaged by clipping. Used methods are based on sparse representations of signals. The introduction of the thesis explains the issue of clipping and mentions the list of already existing methods that solve declipping, which are followed by the thesis. In the next chapter, the necessary theory of sparse representations and the proximal algorithms is described, including specific representatives from the category of convex optimization problems. The thesis contains declipping algorithm implemented in Matlab software environment. Chosen method for solving the task uses the Condat algorithm or Generic proximal algorithm for convex optimization and solves minimization of sum of three convex functions. The result of the thesis is five versions of algorithm and three of them have implemented psychoacoustic model for results improvement. For each version has been found optimal setting of parameters. The restoration quality results are evaluated using objective measurements like SDR and PEMO-Q and also using subjective listening test.
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Detection of key factors of non-standard pieces in series production
Beňo, Tomáš ; Blecha, Petr (referee) ; Bednář, Josef (advisor)
The presented thesis deals with the issue of statistical quality control of a specific production process. The thesis presents a range of statistical tools that can be used to identify the factors causing a high proportion of non-standard pieces. The diploma thesis practically introduces the application of these quality management tools to the production process characterized by an increased proportion of non-standard pieces, in which the factors causing their occurrence are unknown, and as following the thesis in detail introduces the approach how to detect these factors. The last part of the work summarizes the recommendations handed over to the company in order to verify the conclusions of the thesis.
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Restoration of signals with limited instantaneous value using a psychoacoustic model
Beňo, Tomáš ; Rajmic, Pavel (referee) ; Záviška, Pavel (advisor)
The master's thesis deals with the restoration of audio signals that have been damaged by clipping. Used methods are based on sparse representations of signals. The introduction of the thesis explains the issue of clipping and mentions the list of already existing methods that solve declipping, which are followed by the thesis. In the next chapter, the necessary theory of sparse representations and the proximal algorithms is described, including specific representatives from the category of convex optimization problems. The thesis contains declipping algorithm implemented in Matlab software environment. Chosen method for solving the task uses the Condat algorithm or Generic proximal algorithm for convex optimization and solves minimization of sum of three convex functions. The result of the thesis is five versions of algorithm and three of them have implemented psychoacoustic model for results improvement. For each version has been found optimal setting of parameters. The restoration quality results are evaluated using objective measurements like SDR and PEMO-Q and also using subjective listening test.
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Comparison of Algorithms for Creation of Artificial Room Reverberations
Beňo, Tomáš ; Balík, Miroslav (referee) ; Frenštátský, Petr (advisor)
The aim of the Bachelor thesis is to get acquainted with and find out possibilities of control of the reverberation properties of established algorithms for creation of artificial room reverberation. The algorithms proposed by Jon Dattorro, William Gardner and Jean-Marc Jot are implemented in the Matlab environment. Their characteristics and comparison are determined. Subsequent implementation of Jot's algorithm into the VST plug-in module in Matlab using the Audio System Toolbox extension enables to study the properties and behavior of the algorithm that handles real-time sound. The resulting plug-in can then be tested in DAW as a host application.
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