Diplomová práce pojednává o návrhu nového hardwaru využívající komparátor ve zpětné vazbě systému pro digitální předzkreslování signálu. Vybrané vlastnosti navrhované architektury jsou ověřeny pomocí simulací a následně jsou zvoleny komponenty vhodné pro vysokofrekvenční použití za účelem implementace. Na bázi předložené architektury je navržen akviziční modul včetně obvodové realizace a vytvoření plošného spoje. Zhotovený plošný spoj je osazen a připraven pro další testování. Dále je navržen příslušný firmware pro příjem a vysílání signálu a získávání naměřených dat. Obdržené výsledky jsou určeny pro zhodnocení vlastností hardwaru a budoucího využití architektury v systémech digitálních předzkreslovačů.

The aim of this thesis is the acquisition of data from the AD converter and it’s transfer via the JESD204B interface to FPGA with the following transformation and transfer to PC through 100G Ethernet or PCI Express interface. The first part of the thesis is focused on the introduction to used technologies and hardware and analysis of the solution of this project. Second part of the thesis describes solution and it’s functionality. I created HDL design which allows to transfer data from AD converter using both of the interfaces mentioned above. I also created software application for OS Linux which allows to receive and store incoming data in PC. In the end, the results of the measurement using the converter board are presented and discussed.

The work deals with the available options of security devices for basements, design and implementation of its own security system. An FPGA chip from Xilinx called XC3S50A was used as a device control. The device contains two motion sensors and a door passage sensor. There are two ways to report a breach. One way is the sound signaling by means of a siren and the other is the notification to the mobile phone by means of the GSM network.

Convolutional neural networks (CNNs) have been extensively used in many aspects, such as face and speech recognition, image searching and classification, and automatic drive. Hence, CNN accelerators have become a trending research. Generally, Graphics processing units (GPUs) are widely applied in CNNaccelerators. However, Field-programmable gate arrays (FPGAs) have higher energy and resource efficiency compared with GPUs, moreover, high-level synthesis tools based on Open Computing Language (OpenCL) can reduce the verification and implementation period for FPGAs. In this project, PipeCNN[1] is implemented on Intel DE10-Standard FPGA. This OpenCL design acceleratesAlexnet through the interaction between Advanced RISC Machine (ARM) and FPGA. Then, PipeCNN optimization based on memory read and convolution is analyzed and discussed.

Increasingly System-On-A-Chip platforms which incorporate both micropro- cessors and re-programmable logic are being utilized across several fields ranging from the automotive industry to network infrastructure. Unfortunately, the de- velopment tools accompanying these products leave much to be desired, requiring knowledge of both traditional embedded systems languages like C and hardware description languages like Verilog. We propose to bridge this gap with Twill, a truly automatic hybrid compiler that can take advantage of the parallelism inherent in these platforms. Twill can extract long-running threads from single threaded C code and distribute these threads across the hardware and software domains to more fully utilize the asymmetric characteristics between processors and the embedded reconfigurable logic fabric. We show that Twill provides a sig- nificant performance increase on the CHStone benchmarks with an average 1.63 times increase over the pure hardware approach and an increase of 22.2 times on average over the pure software approach while reducing the area required by the reconfigurable logic by on average 1.73 times compared to the pure hardware approach.

Tato práce je zaměřena na zpracování a analýzu USB komunikačního protokolu a implementace jeho jednotlivých částí do FPGA obvodu s využitím programovacího jazyka VHDL. Ve finální podobě by měla práce představovat souhrnný a ucelený dokument popisující principy USB rozhraní a jeho komunikace doplněných praktickým návrhem v jazyce VHDL, který by byl schopen převést data do USB.

The master's thesis briefly analyses the principle of OFDM modulation, possibilities of the synchronization and channel estimation in OFDM. The simply model of OFDM system is made in MATLAB. Because of the implementation in FPGA is generated the behavioral description of the OFDM demodulator through the combination of the schematics description and the description in the VHDL language. The ISE development environment is used.

Aim of this Diploma thesis was to create a device capable of receiving navigational data from GPS. These data are subsequently stored in fixed memory and after connection with the PC are displayed it on the satellite map. The device was realized by using FPGA and GPS module LEA-5s. Description was created in the VHDL language, which was implemented into the circuit. The part of VHDL design was description of PICOBLAZE processor that controls whole system. For displaying and archiving data stored in device was created PC application GPS TRACER. It is able to display stored trace on the satellite map by using Google maps server. For created device were designed and manufactured PCBs, which were manually fitted.

This project deals with implementation of a first order Sigma–Delta AD converter on the FPGA. This ADC is design for an audio signal processing. ADC is build up partially from digital blocks implemented in FPGA (programmed using VHDL) and from few analog components placed external to FPGA. Output from ADC is PCM signal. Data from ADC is created UDP datagram, which is sent to PC via network connection. Income data are received in created program, which save data to text file. This text file is processing in MATLAB.

The scope of this work is to map both conventional and less conventional methods of signal detection in the radio channel, computer simulation of selected methods and subsequent implementation selected method (algorithm) to FPGA chip.