International Telemetering Conference Proceedings / October 21, 2002 / Town & Country Hotel and Conference Center, San Diego, California / Because modern data acquisition systems use digital backplanes, it is logical for more and more data processing to be done in each Data Acquisition Unit (DAU) or even in each module. The processing related to an analog acquisition module typically takes the form of digital signal conditioning for range adjust, linearization and filtering. Some of the advantages of this are discussed in this paper. The next stage is powerful processing boards within DAUs for data reduction and third-party algorithm development. Once data is being written to and from powerful processing modules an obvious next step is networking and decom-less access to data. This paper discusses some of the issues related to these types of processing.

The division of computer engineering at Linköping’s university is currentlydeveloping an innovative parallel DSP processor architecture called ePUMA. Onepossible future purpose of the ePUMA that has been thought of is to implement itin base stations for mobile communication. In order to investigate the performanceand potential of the ePUMA as a processing unit in base stations, a model of theLTE physical layer uplink receiving chain has been simulated in Matlab and thenpartially mapped onto the ePUMA processor.The project work included research and understanding of the LTE standard andsimulating the uplink processing chain in Matlab for a transmission bandwidth of5 MHz. Major tasks of the DSP implementation included the development of a300-point FFT algorithm and a channel equalization algorithm for the SIMD unitsof the ePUMA platform. This thesis provides the reader with an introduction tothe LTE standard as well as an introduction to the ePUMA processor. Furthermore,it can serve as a guidance to develop mixed point radix FFTs in general orthe 300 point FFT in specific and can help with a basic understanding of channelequalization. The work of the thesis included the whole developing chain from understandingthe algorithms, simplifying and mapping them onto a DSP platform,and testing and verification of the results.

Whether caused by trauma, internal diseases, or spontaneously; pneumothorax and hemothorax are potentially life threatening illnesses. They are currently primarily diagnosed with x-rays, CT scans, and ultrasound imaging. While these methods are generally reliable, they are not always available to the injured patient. Life threatening pneumothoraces, such as tension pneumothorax, must be treated quickly. When diagnosed correctly, pneumothorax and hemothorax can be quickly mended through insertion of chest tubes. X-rays, CT scans, and ultrasound imaging require large scale equipment and are not always dependable. There is a more reliable, portable, and faster result producing method to diagnose pneumothorax. Vibro-acoustic waves can be sent through the chest and the resulting wave can be measured. By analyzing attenuation characteristics determined by the geometry of the chest structures, it can be determined if the patient's pleural space is healthy, contains air (pneumothrax), or contains fluid (hemothorax).

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The master’s thesis deals with the design of modulator OFDM in the FPGA circuit. The thesis describes basic attributes of modulation OFDM, its pros and cons. With the help of created block level scheme, it describes all the components of the processing of the data signal on its way from the transmitter to the receiver. The Atlys Spartan-6 Development Board has been chosen for the implementation of the modulator. The other part of thesis is the design and realization of the analog-digital interface for the modulator OFDM. The interface consists of PCB, which is connected to the development board using expansion connector. The board is assembled with all the parts required for transmitting the signal as well as consecutive receiving, the description of used solutions is also a part of this master’s thesis. Proper function of both designed parts was verified using hardware co-simulation.

<div>The service life of aircraft structure, primarily composed of aluminum alloys, is markedly lower when galvanic corrosion is present due to early crack initiation at localized pitting, with the likelihood of cracking being higher at pits spanning several microns. To understand the joint effect that the mechanical and chemical behavior of AA7050-T7451 have on the evolution of corrosion prior and until its transition to cracking, the microstructure, constituent particles, mechanical strains, and the corrosion morphology were experimentally characterized using high-resolution methods and the mechanical stresses are computationally modeled at the micrometer level using a FFT-based crystal plasticity framework. </div><div><br></div><div>The material was corroded under both mechanically loaded and unloaded conditions under different corrosion intervals to properly capture the evolution of corrosion before, during, and after particle fallout. For the events prior to cracking, statistical cross-correlations between the mechanical state of the material and the corrosion morphology were performed to understand the mechanisms driving corrosion at its various stages. For the cracking event and its subsequent growth, the joint analysis of strains and stresses obtained from 3D crystal plasticity models were used to calculate Fatigue Indicator Parameters (FIPs) that can quantitatively give an insight of the major mechanisms driving crack initiation and growth in pre-corroded materials. The development of micromechanical models that account for both the environmental degradation and the microstructure in the material allowed to accurately predict the location of crack initiation arising from pits, which has been a longstanding problem in the field of corrosion. It is concluded that both corrosion growth and its transition to cracking are multivariable events, where corrosion growth is jointly driven by the local chemistry and the micromechanics, and crack initiation is driven by the coupled interaction between the corrosion geometry and the micromechanics.</div><div><br></div>

The fast Fourier transform (FFT) plays an important role in digital signal processing (DSP) applications, and its implementation involves a large number of computations. Many DSP designers have been working on implementations of the FFT algorithms on different devices, such as central processing unit (CPU), Field programmable gate array (FPGA), and graphical processing unit (GPU), in order to accelerate the performance.          We selected the GPU device for the implementations of the FFT algorithm because the hardware of GPU is designed with highly parallel structure. It consists of many hundreds of small parallel processing units. The programming of such a parallel device, can be done by a parallel programming language CUDA (Compute Unified Device Architecture).           In this thesis, we propose different implementations of the FFT algorithm on the NVIDIA GPU using CUDA programming language. We study and analyze the different approaches, and use different techniques to accelerate the computations of the FFT. We also discuss the results and compare different approaches and techniques. Finally, we compare our best cases of results with the CUFFT library, which is a specific library to compute the FFT on NVIDIA GPUs.

Operational time is becoming an increasingly important aspect in electronic devices and is also highly relevant in Underwater Acoustic Sensor Networks (UWSN). This thesis contains a study which explores what can be done to de-crease power consumption while maintaining the same functionality of an FPGA inside an underwater sensor-node network. A longer operational time means a more effective system since reconnaissance is one of UWSN’s area of application. The thesis will also cover the implementation of a new sensor-node ‘mode’ which will add new features and increase operational time.

Submitted by Cristiane Chim (cristiane.chim@ucpel.edu.br) on 2017-02-13T12:39:14Z No. of bitstreams: 1 RENATO HARTWIG NEUENFELD.pdf: 1118711 bytes, checksum: 8e3e693c9c6a6328935397f57a1da60c (MD5) / Made available in DSpace on 2017-02-13T12:39:14Z (GMT). No. of bitstreams: 1 RENATO HARTWIG NEUENFELD.pdf: 1118711 bytes, checksum: 8e3e693c9c6a6328935397f57a1da60c (MD5) Previous issue date: 2016-12-05 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES# / #2075167498588264571# / #600 / In the FFT computation, the butterflies play a central role, since they allow calculation of complex terms. In this calculation, involving multiplications of input data with appropriate coefficients, the optimization of the butterfly can contribute for the reduction of power consumption of FFT architectures. In this work, different and dedicated structures for the 16 bit-width radix- 2, radix-4 and split-radix DIT butterflies are implemented, where the main goal is to minimize the number of arithmetic operators in order to produce power-efficient structures. Firstly, we improve a radix-2 butterfly previously presented in literature, reducing one adder and one subtractor in the structure. After, part of this optimized radix-2 butterfly is used to reduce the number of real multipliers in both radix-4 and split-radix butterflies. In this work, multi-operands addition schemes were exploited in order to improve the efficiency of the FFT butterflies. Combinations of simultaneous addition of 3, 5 and 7 operands are inserted in the structures of the butterflies in order to produce power-efficient structures. For the multi-operand additions, Carry Save Adder (CSA), and adder compressors are used. The main results show that the use of part of the optimized radix-2 into the radix-4 and split-radix leads to the reduction of power consumption for these structures. Moreover, the use of Carry Save Adder reduces still more the power dissipation of the optimized butterflies structures / No cálculo da Transformada Rápida de Fourier (FFT - Fast Fourier Transform), as borboletas desempenham um papel principal, uma vez que elas permitem o cálculo dos termos complexos. Neste cálculo, envolvendo multiplicações de dados de entrada com coeficientes apropriados, a otimização da borboleta pode contribuir para a redução da dissipação de potência em arquiteturas FFT. Nesse trabalho são implementadas estruturas dedicadas de borboletas radix-2, radix-4 e split-radix com decimação no tempo, para dados de 16 bits de largura, onde o objetivo principal é reduzir o número de operadores aritméticos, a fim de produzir estruturas mais eficientes em termos de dissipação de potência. Primeiramente foi otimizada a estrutura da borboleta radix-2 apresentada na literatura, reduzindo um circuito somador e um subtrator nessa estrutura. Após, parte desta borboleta radix-2 otimizada foi usada para reduzir o número de multiplicadores reais nas borboletas radix-4 e split-radix. Neste trabalho também foram explorados esquemas de adição simultânea de vários operandos, a fim de melhorar a eficiência dessas borboletas FFT. Combinações de somas simultâneas de 3, 5 e 7 operandos são inseridos nas estruturas das borboletas, a fim de produzir estruturas de baixa dissipação de potência. Para tal, foram utilizadas arquiteturas de somadores do tipo Carry Save Adder (CSA) e somadores compressores. Os principais resultados mostram que o uso de parte da borboleta radix-2 otimizada nas borboletas radix-4 e split-radix, leva à redução da dissipação de potência nessas estruturas. Além disso, a utilização de somadores do tipo Carry Save reduz ainda mais a dissipação de potência nas estruturas das borboletas otimizadas. Palavras-chave: FFT. radix-2. radix-4. split

The primary goal of this paper is to demonstrate the application of a relatively esoteric and interdisciplinary technique, called spectral analysis, to dyadic social sciences data. Spectral analysis is an analytical and statistical technique, commonly used in engineering, that allows times series data to be analyzed for the presence of significant regular/periodic fluctuations/oscillations. These periodic fluctuations are reflected in the frequency domain as amplitude or energy peaks at certain frequencies. Furthermore, a Magnitude Squared Coherence analysis may be used to interrogate more than one time series concurrently in order to establish the degree of frequency domain correlation between the two series, as well to establish the phase (lead/lag) relationship between the coherent frequency components. In order to demonstrate the application of spectral analysis, the current study utilizes a secondary dyadic dataset comprising 30 daily reports of perceived sexual desire for 65 couples. The secondary goal of this paper is to establish a) whether there is significant periodic fluctuation in perceived levels of sexual desire for men and/or women, and at which specific frequencies, and b) how much correlation or `cross-spectral coherence' there is between partners' sexual desire within the dyads, and c) what the phase lead-lag relationship is between the partners at any of the identified frequency components. Sexual desire was found to have significant periodic components for both men and women, with a fluctuation of once per month being the most common frequency component across the groups of individuals under analysis. Mathematical models are presented in order to describe and illustrate these principal fluctuations. Partners in couples, on average, were found to fluctuate together at a number of identified frequencies, and the phase lead/lag relationships of these frequencies are presented.