ITC/USA 2014 Conference Proceedings / The Fiftieth Annual International Telemetering Conference and Technical Exhibition / October 20-23, 2014 / Town and Country Resort & Convention Center, San Diego, CA / Upon completion of a test where telemetry(TM) data was collected, the resulting TM file will usually contain millions of data points. Traditionally MatLab™, Mathlab™, or some third party software is used to plot the data. These methods may not always be desirable due to the expense of licensing, restrictions on the ability to create custom graphs and the inability to quickly plot large amounts of data. These problems were solved by using Windows Presentation Foundation (WPF) graphics capabilities in conjunction with C# to develop a unique set of algorithms to display custom graphs of unlimited size with quick response.

Asynchronous machines are considered nowadays the most commonly used electrical machines, which are mainly used as electrical induction motors. Starting the induction motor is the most important and dangerous step. The theory behind this project is based on representing the real motor by a set of equations and values in Matlab using the subsystem feature, forming a corresponding idealistic motor in a way where all the physical effects are similar. The motor is started under different loads in two methods: Direct and Soft starting. Each method is studied and discussed using supporting simulation of currents, torque, speed, efficiency and power factor curves.

The initial design of an OFDM transceiver is described and the simulations using MATLAB’s Simulink Software and other FGPA based tools are presented. All components of a modern OFDM system were implemented in Simulink to provide an understanding of the various components of an OFDM system, provide a proof of concept in the design, and measure the theoretical performance of the system. In an effort to build the transceiver, the FFT and randomizer components were implemented in verilog and were successfully simulated using ModelSim Altera Starter Edition 6.5b. A commercially available OFDM core, which did not include forward error correction, was simulated to measure the performance of an OFDM system within Altera Stratix III devices and determine the overall logic utilization for OFDM modulation and demodulation. The goals of this report are to describe in detail the general effort made by the author to build an OFDM transceiver and serve as a driver for its eventual FPGA implementation. / text

The rank revealing QR decomposition is a special form of the well known QR decomposition of a matrix. It uses specialized pivoting strategies and allows for an easy and efficient numerical rank decision for arbitrary matrices. It is especially valuable when column compression of rectangular matrices needs to be performed. Here we provide documentation and compilation instructions for a MATLAB MEX implementation of the RRQR allowing the easy usage of this decomposition inside the MATLAB environment.

3d αναπαράσταση με παράλληλη επεξεργασία μέσω Matlab / 3D cone beam representation using Matlab

This thesis work was done in order to improve the capabilities in a preliminary aircraft analysis program, DIBA, at Saab Aerosystems. The areas that this was done are in the sizing and balance. One sizing tool was developed in order to make a performance analysis with the DIBA generated geometry and customer and/or regulation based criteria. A balance diagram, a neutral point estimation function, a landing gear plot and a trim program was created in order to extend the weight and balance analysis. Results show that various aircraft both military and civil can be analyzed with good comparison to other analysis and reality. For example EXCEL implemented analysis and graphs over real aircrafts shown in the report.

Image processing emerges from the curiosity of human vision. To translate, what we see in everyday life and how we differentiate between objects, to robotic vision is a challenging and modern research topic. This thesis focuses on detecting a pedestrian within a standard format of an image. The efficiency of the algorithm is observed after its implementation in FPGA. The algorithm for pedestrian detection was developed using MATLAB as a base. To detect a pedestrian, a histogram of oriented gradient (HOG) of an image was computed. Study indicates that HOG is unique for different objects within an image. The HOG of a series of images was computed to train a binary classifier. A new image was then fed to the classifier in order to test its efficiency. Within the time frame of the thesis, the algorithm was partially translated to a hardware description using VHDL as a base descriptor. The proficiency of the hardware implementation was noted and the result exported to MATLAB for further processing. A hybrid model was created, in which the pre-processing steps were computed in FPGA and a classification performed in MATLAB. The outcome of the thesis shows that HOG is a very efficient and effective way to classify and differentiate different objects within an image. Given its efficiency, this algorithm may even be extended to video.

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The current trend in the wind power industry is to develop wind turbines of constantly increasing size and rated power, as well as wind farms of growing size and installed wind power. A careful study of the behaviour of the wind turbines during their operation is of crucial importance in the planning phase and in the design stage of a wind farm, in order to minimize the risks deriving from a non accurate prediction of their impact in the electric grid causing sensible faults of the system. To analyze the impact of the wind turbines in the system, motivates the development of accurate yet simple models. To be able to practically deal with this topics, a simple model of a wind turbine system is investigated and developed; it has the aim to describe the behaviour of a wind turbine in operation on a mechanical standpoint. The same reduced order simple model can also be employed for control system studies; the control system model that can’t be used in generation, can use the reduced model. Together with the analytical description of such model, is realized a MatLab code to numerically analyse the response of the system, and the results of the simulation through such code are presented. The objective of this thesis has been to provide a simple benchmark tool in MatLab for grid integration and control studies for interested researchers.

The following dissertation attempts to highlight and address the implementation and performance of a Kalman filter on an FPGA. The reasons for choosing the Kalman filter and the platform for implementation are highlighted as well as an in depth explanation of the components and theory behind both are given. A controller system which allows the optimal performance of the Kalman filter on it is developed in VHDL. The design of the controller is dictated by the analysis of the Kalman filter which ensures only the most necessary components and operations are built into the instruction set. The controller is made up of several components including the loader, the ALU, Data RAM, KF IO, Control Store and the Branch Unit. The components working in conjunction allows the system to interface though a handshaking protocol with a peripheral of arbitrary latency. The control store is loaded with program code that is determined by converting human readable assembler into machine code through a Perl encoder. The controller system is tested and verified though an extensive testbench environment that emulates all outside signals and views internal operations. The controller system is capable of five matrix operations which are computed in parallel due to the FPGA development environment, which is far superior in this case to the alternative: a software solution, due to the vector operations inherent in the Kalman filter algorithm. The Kalman filter operation is analyzed and simulated in a MATLAB environment and this analysis confirms the need for the parallel processing power of the FPGA system upon which the controller has been built. FPGA statistical analysis confirms the successful implementation of the system meeting all criteria set at the outset of the project, including memory usage, IO usage and performance and accuracy benchmarks. / Graduate