|
|
Analysing Tool for Generating of Drum Triggers from Downmix Record
Konzal, Jan ; Mucha, Ján (referee) ; Přikryl, Lubor (advisor)
This thesis deals with the design and implementation of a tool for generating drums triggers from a downmix record. The work describes the preprocessing of the input audio signal and methods for the classification of strokes. The drum classification is based on the similarity of the signals in the frequency domain. Principal component analysis (PCA) was used to reduce the number of dimensions and to find the characteristic properties of the input data. The method support vector machine (SVM) was used to classify the data into individual classes representing parts of the drum kit. The software was programmed in Matlab. The classification model was trained on a set of 728 drum samples for seven categories (kick, snare, hi-hat, crash, ride, kick + hi-hat, snare + hi-hat). The success of the system in the classification is 75 %.
|
|
|
Laboratory High-Frequency Generator
Konzal, Jan ; Záplata, Filip (referee) ; Šebesta, Jiří (advisor)
This thesis describes a proposal of laboratory high frequency generator based on the principle of indirect analogue synthesis with a phase sling. The first part of the work describes the principle of a direct numerical and indirect analogue synthesis. Frequency range of the designed generator is up to 900 MHz. The output of the generator is designed to be up to 12dBm. Output impedance is 50 . To reach a frequency of oscillation lower than 800 MHz, the principle of fusion is used. Further, the control was suggested to be carried out by a microprocessor. Operating is realized using a keyboard and a rotary encoder.
|
|
|
Analysing Tool for Generating of Drum Triggers from Downmix Record
Konzal, Jan ; Mucha, Ján (referee) ; Přikryl, Lubor (advisor)
This thesis deals with the design and implementation of a tool for generating drums triggers from a downmix record. The work describes the preprocessing of the input audio signal and methods for the classification of strokes. The drum classification is based on the similarity of the signals in the frequency domain. Principal component analysis (PCA) was used to reduce the number of dimensions and to find the characteristic properties of the input data. The method support vector machine (SVM) was used to classify the data into individual classes representing parts of the drum kit. The software was programmed in Matlab. The classification model was trained on a set of 728 drum samples for seven categories (kick, snare, hi-hat, crash, ride, kick + hi-hat, snare + hi-hat). The success of the system in the classification is 75 %.
|
|
|
Laboratory High-Frequency Generator
Konzal, Jan ; Záplata, Filip (referee) ; Šebesta, Jiří (advisor)
This thesis describes a proposal of laboratory high frequency generator based on the principle of indirect analogue synthesis with a phase sling. The first part of the work describes the principle of a direct numerical and indirect analogue synthesis. Frequency range of the designed generator is up to 900 MHz. The output of the generator is designed to be up to 12dBm. Output impedance is 50 . To reach a frequency of oscillation lower than 800 MHz, the principle of fusion is used. Further, the control was suggested to be carried out by a microprocessor. Operating is realized using a keyboard and a rotary encoder.
|
guest ::
