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Experimental audio effect based on dynamic signal filtering
Leitgeb, David
This paper deals with an audio effect that utilizes multiple types of digital signal processing to creatively produce various sound colors with musical signal as its input. Used signal processing techniques include: frequency filters, delay line with signal interpolation, low-frequency oscillators. The paper includes description of the structure of the proposed audio effect, approaches used during the implementation process and several examples of the functionality of its individual features. The proposed effect was developed using Matlab and its Audio Toolbox extension.
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Quantitative analysis of Scratch assay and Colony formation assay data using MATLAB
Ingrová, Kateřina ; Chmelíková, Larisa ; Zumberg, Inna
Utilizing Scratch and Colony formation assays is crucial for understanding cell migration and proliferation dynamics. In this study, we present novel approaches utilizing MATLAB for the processing of images obtained from these assays. We demonstrate the effectiveness of our approaches through validation experiments on human osteosarcoma SaOS-2 cells, showcasing their applicability across different experimental conditions. Moreover, the inhibitory effect of two concentrations of gentamicin (0.1 mg/ml, 0.3 mg/ml) on the migration and clonogenicity of SaOS-2 cells was declared.
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A Comparison of Popular Band-limited Signal Reconstruction Methods
Telecký, Matyáš ; Mihálik, Ondrej
The paper focuses on the reconstruction of continuous and discrete signals observed during a finite time interval. For the task of signal recovery, the Gerchberg-Papoulis (GP) method is compared with a proposal for an improved GP implementation and with Slepian reconstruction method. These three methods are implemented in the MATLAB and applied to selected band-limited signals. Their results are compared in terms of computational complexity and reconstruction accuracy. The improved GP method and Slepian method are recommendable, as they remove problems associated with spurious signal periodicity that is usually induced by the FFT in the original GP method.
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Platform for Digital Predistortion Based on RFSoC
Kříčka, Tomáš ; Král, Jan
Signal predistortion occurs in modern communication systems and in other systems requiring linear signal amplification. The objective is to learn about signal predistortion, the QORVO 1800 MHz FDD radio front-end and to implement the front-end control using RFSoC and Matlab computer program. I focus on controlling individual attenuators and amplifiers on the QORVO front-end with a program written in C. Using a single board computer Raspberry Pi 4B running Linux. Furthermore, the work involves the application of a SCPI server that operates based on TCP packets. As part of the introduction to the front-end, the power characteristic of the power amplifier is measured.
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Training set generation system for reconstruction of electrical impedance tomography images
Zemiti, Samia ; Aloph, Clark ; Mikulka, Jan
This paper introduces an innovative approach to simulating Electrical Impedance Tomography (EIT) through MATLAB, aimed at advancing the accuracy and reliability of internal imaging using electrodes. We address the critical challenge of reconstructing interior images with high fidelity by simulating inhomogeneous mediums. Our methodology involves the generation of synthetic datasets, encompassing various inhomogeneity scenarios, followed by applying forward solutions to ascertain voltage measurements indicative of interior conductivity variations. The research emphasizes the creation of an adaptive framework capable of simulating real-world scenarios within a controlled digital environment, thereby enhancing the predictive capabilities of EIT systems in diverse applications ranging from medical imaging to industrial inspection.
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Supplier Evaluation in Terms of Risk Using Fuzzy Logic
Švach, Šimon ; Podešva, Lukáš (referee) ; Janková, Zuzana (advisor)
This thesis focuses on the evaluation of supplier risk using fuzzy logic-based models. Two models for supplier risk assessment have been developed in MS Excel and MATLAB software, which serve as a qualified basis for managerial decisions on supplier selection. Specific case studies were developed from the perspective of Hydraulics Ltd., a company that requires manufacturing services in the field of industrial machining and hydraulic systems. Based on the models, one or more least risky suppliers are selected, and measures are proposed to reduce supplier risk.
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The Risk of Supplier Selection Using Fuzzy Logic
Popek, Tomáš ; Podešva, Lukáš (referee) ; Janková, Zuzana (advisor)
This thesis deals with the evaluation of the risk posed to Kofola ČeskoSlovensko a.s. by its label suppliers. The developed decision models use the theory of fuzzy logic and are created in MS Excel and MATLAB. According to the resulting evaluation, the suppliers are divided into predetermined categories that describe how much supplier risk they represent for the company. The results from the two programs are compared and measures are also suggested to improve the quality of the services delivered and therefore reduce the supplier risk.
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Use of Fuzzy Logic for Supplier Risk Assessment
Kvasnička, Jan ; Podešva, Lukáš (referee) ; Janková, Zuzana (advisor)
This master ’s thesis deals with the assesment of supplier risk for company TIPO Litomyšl using fuzzy logic. The main part deals with the creation of decision models using MS Excel and MATLAB program environment. Based on the percentage assessment, individual suppliers are divided into four groups, which express the degree of supplier risk. In the last part the results of both models are compared and the best result is determined using the arithmetic mean. At the end, a measure/recommendation is created for each group on how to work with the resulting risk or how to minimize or eliminate the results.
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Application for demonstration of sound effects
Frey, Filip ; Rajmic, Pavel (referee) ; Číž, Radim (advisor)
This bachelor thesis deals with the analysis and implementation of phaser, auto-wah, compressor, limiter, expander, tremolo, vibrato and distortion sound effects. The thesis consists of a set of applications that demonstrate the aforementioned sound effects through a graphical user interface in a MATLAB programming environment. The applications guide the user step by step through the process of implementing a particular effect. They allow to freely set and change individual parameters of the effect, whose changes are immediately and clearly visualized. The applications also provide the possibility to play back either original or effect-modified audio signals. The apps are learning environments that allow the user to understand the functionality of a given effect through an interactive experience.
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Automatic reading of numbers - real-time measurement of quantities from graphical displays of various instruments with a camera
Bartoš, Daniel ; Králík, Jan (referee) ; Appel, Martin (advisor)
This bachelor thesis deals with the process of converting numerical values displayed on graphical displays of measuring instruments without communication interfaces into data usable for subsequent analysis, using a camera and a program described in the implemen- tation section. The theoretical part is dedicated to the research and implementation of operations used in image processing, including morphological operations, in the MATLAB environment. The practical part of the thesis focuses on creating a program for real-time recording of numerical displays using a camera, processing the captured images with operations discussed in the research section, and reading them using the MATLAB OCR function. It also covers the subsequent processing of the read data and their storage during the measurement. This part also includes examples of measuring different types of displays, creating a user interface and application using the Application Compiler tool. The thesis concludes with a section serving as a user guide for the application.
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