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Turbo-convolution and turbo-block codes
Šedý, Jakub ; Krajsa, Ondřej (referee) ; Šilhavý, Pavel (advisor)
The aim is to explain the Turbo convolutional and block turbo codes and decoding the secure message. The practical part focuses on the design of a demonstration program in Matlab. The work is divided into four parts. The first two deal with theoretical analysis of coding and decoding. The third section contains a description created a demonstration program that allows you to navigate the process of encoding and decoding. The fourth is devoted to simulation and performance of turbo codes.
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Turbo codes and their applications in transmission technologies
Kuvik, Michal ; Číž, Radim (referee) ; Šilhavý, Pavel (advisor)
Purpose of this work is to clarify problems of anti-error security with the help of turbo codes. This work can be divided into two parts. In the first part we look at the theoretical aspect of features of turbo codes, their coding and at various approaches of decoding secure messages for example SOVA and MAP, also at analyzing usage of turbo codes in promising transmission technologies. Second part is focused on creating an application with the help of software Matlab and on verifying attributes of this method in this software.
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Turbo codes and their applications
Ploštica, Stanislav ; Krajsa, Ondřej (referee) ; Šilhavý, Pavel (advisor)
This Diploma thesis aims to explain the data coding using turbo codes. These codes belong to the group of error correction codes. We can reach the high efficiency using these codes. The first part describes process of encoding and decoding. There are describes parts of encoder and decoder. Principle of encoding and decoding demonstrate a simple example. The end of this part contains description of two most frequently used decoding algorithms (SOVA and MAP). The second part contains description of computer program that was made for using as teaching aid. This program was created in Matlab GUI. This program enables to browse error correction process step by step. This program contains graphic interface with many options and display results. In the third part is described program created in Matlab Simulink that was implemented into the TMS320C6713 kit and there is description of measuring procedure. For verification of efficiency of turbo codes was measured any parameters. Some of these parameters are: number of decoding iterations, generating polynoms and using of puncturing. The last part contains measured value and result evaluation.
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Turbocodes and their application in telecommunication systems
Trčka, Tomáš ; Křivánek, Vítězslav (referee) ; Němec, Karel (advisor)
This Diploma thesis deals with Turbo code problems. The Turbo codes belong to the group of error correction codes, sometimes referred to as forward error correcting (FEC) codes or channel codes. This thesis can be thematically divided into two basic parts. The first part describes turbo code encoder and decoder block diagram with the illustration of two most frequently used iterative decoding algorithms (SOVA and MAP). The end of this part contains best known turbo codes, which are used in present communication systems. The second part pursues simulation results for the turbo codes using Binary Phase Shift Keying (BPSK) over Additive White Gaussian Noise (AWGN) channels. These simulations were created in the MATLAB/SIMULINK computer program. It will be shown here, that there exist many different parameters, greatly affecting turbo codes performance. Some of these parameters are: number of decoding iterations used, the input data frame length, generating polynoms and RSC encoders constraint lengths, properly designed interleaving block, decoding algorithm used, etc.
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Eagle Owl (Bubo bubo, Linnaeus, 1758) as a Model Species for Environmental Education
Žmolil, Matouš ; Andreska, Jan (advisor) ; Hanel, Lubomír (referee)
This diploma thesis deals with an eagle owl as a model species for environmental education. The first part focuses on this species and how it was perceived in the past and the possible reasons for its pursuit. The second part focuses on the progressive return of this owl to Czech nature and legal measures to protect it. In the third part the thesis focuses on the presence of eagle owl in neighbouring countries of the Czech Republic and their latest states and legal measures. The last and practical part is focused on the perception of secondary forestry students and grammar school students on the return of selected vertebrates to Czech nature. This part focuses mainly on comparing the perception of eagle owl to other vertebrates in Czech nature.
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Turbo codes and their applications in transmission technologies
Kuvik, Michal ; Číž, Radim (referee) ; Šilhavý, Pavel (advisor)
Purpose of this work is to clarify problems of anti-error security with the help of turbo codes. This work can be divided into two parts. In the first part we look at the theoretical aspect of features of turbo codes, their coding and at various approaches of decoding secure messages for example SOVA and MAP, also at analyzing usage of turbo codes in promising transmission technologies. Second part is focused on creating an application with the help of software Matlab and on verifying attributes of this method in this software.
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|
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Turbo-convolution and turbo-block codes
Šedý, Jakub ; Krajsa, Ondřej (referee) ; Šilhavý, Pavel (advisor)
The aim is to explain the Turbo convolutional and block turbo codes and decoding the secure message. The practical part focuses on the design of a demonstration program in Matlab. The work is divided into four parts. The first two deal with theoretical analysis of coding and decoding. The third section contains a description created a demonstration program that allows you to navigate the process of encoding and decoding. The fourth is devoted to simulation and performance of turbo codes.
|
|
|
Turbo codes and their applications
Ploštica, Stanislav ; Krajsa, Ondřej (referee) ; Šilhavý, Pavel (advisor)
This Diploma thesis aims to explain the data coding using turbo codes. These codes belong to the group of error correction codes. We can reach the high efficiency using these codes. The first part describes process of encoding and decoding. There are describes parts of encoder and decoder. Principle of encoding and decoding demonstrate a simple example. The end of this part contains description of two most frequently used decoding algorithms (SOVA and MAP). The second part contains description of computer program that was made for using as teaching aid. This program was created in Matlab GUI. This program enables to browse error correction process step by step. This program contains graphic interface with many options and display results. In the third part is described program created in Matlab Simulink that was implemented into the TMS320C6713 kit and there is description of measuring procedure. For verification of efficiency of turbo codes was measured any parameters. Some of these parameters are: number of decoding iterations, generating polynoms and using of puncturing. The last part contains measured value and result evaluation.
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|
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Turbocodes and their application in telecommunication systems
Trčka, Tomáš ; Křivánek, Vítězslav (referee) ; Němec, Karel (advisor)
This Diploma thesis deals with Turbo code problems. The Turbo codes belong to the group of error correction codes, sometimes referred to as forward error correcting (FEC) codes or channel codes. This thesis can be thematically divided into two basic parts. The first part describes turbo code encoder and decoder block diagram with the illustration of two most frequently used iterative decoding algorithms (SOVA and MAP). The end of this part contains best known turbo codes, which are used in present communication systems. The second part pursues simulation results for the turbo codes using Binary Phase Shift Keying (BPSK) over Additive White Gaussian Noise (AWGN) channels. These simulations were created in the MATLAB/SIMULINK computer program. It will be shown here, that there exist many different parameters, greatly affecting turbo codes performance. Some of these parameters are: number of decoding iterations used, the input data frame length, generating polynoms and RSC encoders constraint lengths, properly designed interleaving block, decoding algorithm used, etc.
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