Esta tese apresenta um algoritmo capaz de detectar eventos que afetam a qualidade de energia e quantificar níveis de distorção harmônica utilizando poucos recursos de processamento. A carga de processamento reduzida é compatível com os processadores utilizados em medidores de faturamento monofásicos de baixo custo. Outros métodos de detecção, que exigem maior capacidade de processamento, podem comprometer o funcionamento destes medidores. O algoritmo proposto utiliza o sinal monofásico amostrado e gera sinais equivalentes a um sistema polifásico virtual capaz de detectar variações de tensão de curta duração e transitórios oscilatórios de baixa frequência. Distorções harmônicas presentes no sinal amostrado podem ser quantificadas em grupos, como múltiplos do número de fases virtuais criadas. São apresentados os algoritmos utilizados e os resultados obtidos com simulações para conversões A/D de 10 e 12 bits. O algoritmo foi testado com um processador de baixo custo com conversor A/D de 10 bits e seus resultados são comparados com as simulações. / This thesis presents an algorithm able to detect events that affect power quality and quantify levels of harmonic distortion using few memory and low processing resources. The reduced processing load is compatible with processors used in low-cost single-phase billing meters. Other detection methods, which require greater processing power, may compromise those meters operations. The proposed algorithm uses the phase sampled signal and generates a virtual equivalent polyphase system, capable of detecting voltage sags, swell and low frequency oscillatory transient signals. The harmonic distortion present in the sampled signal can be quantified in groups, related with the number of virtual phases created. The algorithms were simulated with 10 and 12 bits A/D and the results obtained are shown. A test meter, based on a low-cost processor with a 10 bits A/D converter, was programmed with this algorithm and its results are compared with simulations.

A combinação de fontes biométricas não redundantes da multibiometria supera a precisão de cada fonte individual (monobiometria). Além do mais, dois problemas em biometria, ruído e ataques de usurpadores, podem ser minimizados pelo uso de múltiplos sensores e biometria multimodal. Entretanto, se as similaridades estão em todos traços biométricos, como em gêmeos monozigotos (MZ), o processamento de múltiplas fontes não melhora a performance. Para distinguir extrema similitude, influências epigenéticas e ambientais são mais importantes do que o DNA herdado. Esta tese examina a plasticidade fenotípica na assimetria humana como uma ferramenta para melhorar a multibiometria. A técnica de Processamento Bilateral (PB) é introduzida para analisar discordâncias em lados esquerdo e direito dos traços biométricos. PB foi testado com imagens de espectro visível e infravermelho usando Correlação Cruzada, Wavelets e Redes Neurais Artificiais. Os traços selecionados foram dentes, orelhas, íris, impressões digitais, narinas e bochechas. PB acústico também foi implementado para avaliação da assimetria vibracional durante sons vocálicos e comparado a um sistema reconhecedor de locutores com parametrização via MFCC (Mel Frequency Cepstral Coefficients) e classificado por Quantização Vetorial. Para o PB de imagens e acústico foram coletadas 20 amostras por traço biométrico durante um ano de nove irmãos masculinos adultos. Com propósito de teste, as biometrias esquerdas foram impostoras às biometrias direitas do mesmo indivíduo e vice-versa, o que levou a 18 entidades serem identificadas por traço biométrico. Resultados alcançaram identificação total em todas biometrias tratadas com PB, comparado a um máximo de 44% de identificação correta sem PB. Esta tese conclui que peculiaridades bilaterais melhoram a performance multibiométrica e podem complementar qualquer abordagem de reconhecimento. / Combination of non-redundant biometric sources in multibiometrics overcomes individual source accuracy (monobiometrics). Moreover, two problems in biometrics, noise and impostor attacks, can be minimized by the use of multi-sensor, multi-modal biometrics. However, if similarities are in all traits, as in monozygotic twins (MZ), multiple source processing does not improve performance. To distinguish extreme similitude, epigenetic and environmental influences are more important than DNA inherited. This thesis examines phenotypic plasticity in human asymmetry as a tool to ameliorate multibiometrics. Bilateral Processing (BP) technique is introduced to analyze discordances in left and right trait sides. BP was tested in visible and infrared spectrum images using Cross-Correlation, Wavelets and Artificial Neural Networks. Selected traits were teeth, ears, irises, fingerprints, nostrils and cheeks. Acoustic BP was also implemented for vibration asymmetry evaluation during voiced sounds and compared to a speaker recognition system parameterized via MFCC (Mel Frequency Cepstral Coefficients) and classified by Vector Quantization. Image and acoustic BP gathered 20 samples per biometric trait during one year from nine adult male brothers. For test purposes, left biometrics was impostor to right biometrics from the same individual and vice-versa, which led to 18 entities to be identified per trait. Results achieved total identification in all biometrics treated with BP, compared to maximum 44% of correct identification without BP. This study concludes that bilateral peculiarities improve multibiometric performance and can complement any recognition approach.

Os medidores de energia elétrica estão deixando de ser simples instrumentos de aplicação dedicada para se tomarem instrumentos extremamente funcionais. Desde a sua invenção, os medidores vêm sofrendo alterações de acordo com os recursos tecnológicos da época e as exigências de mercado. Atualmente, os processadores digitais de sinais têm sido amplamente empregados nesta área, permitindo a integração de uma série de funções em um único equipamento, além da implementação de algoritmos mais complexos. Estas funções geralmente incluem o cálculo de uma variedade de parâmetros elétricos, comunicação remota, integração com sistemas digitais e outras. Este trabalho apresenta um estudo e o desenvolvimento de um medidor de energia elétrica baseado no processador digital de sinais DSP56002 da Motorola. Entre as funções que são incorporadas ao medidor, destaca-se o monitoramento da qualidade da energia elétrica, visto que esta será uma tendência futura. / Electric energy meters have been changing from simple instruments for dedicated applications to very functional ones. Since their invention, the meters has changed accordingly to the technology resources and market requirements. Nowadays, the digital signal processors have been widely employed in this area, allowing a huge amount of functions to be integrated into only one instrument, besides of the implementation of more complex algorithms. Such functions usually include evaluation of many electrical parameters, remote communication, connection to digital systems and others. This work is about a study and a development of an electric energy meter based on the digital signal processor DSP56002 by Motorola. Among the functions that are incorporated to the meter, it points out the monitoring of electric power quality, once it will be a future trend.

The world of wireless communications is under constant change. Radio standards evolve and new standards emerge. More and more functionality is put into wireless terminals. E.g. mobile phones need to handle both second and third generation mobile telephony as well as Bluetooth, and will soon also support wireless LAN functionality, reception of digital audio and video broadcasting, etc. These developments have lead to an increased interest in software defined radio (SDR), i.e. radio devices that can be reconfigured via software. SDR would provide benefits such as low cost for multi-mode devices, reuse of the same hardware in different products, and increased product life time via software updates. One essential part of any software defined radio is a programmable baseband processor that is flexible enough to handle different types of modulation, different channel coding schemes, and different trade-offs between data rate and mobility. So far, programmable baseband solutions have mostly been used in high end systems such as mobile telephony base stations since the cost and power consumption have been considered too high for handheld terminals. In this work a new low power and low silicon area programmable baseband processor architecture aimed for multi-mode terminals is presented. The architecture is based on a customized DSP core and a number of hardware accelerators connected via a configurable network. The architecture offers a good tradeoff between flexibility and performance through an optimized instruction set, efficient hardware acceleration of carefully selected functions, low memory cost, and low control overhead. One main contribution of this work is a study of important issues in programmable baseband processing such as software-hardware partitioning, instruction level acceleration, low power design, and memory issues. Further contributions are a unique optimized instruction set architecture, a unique architecture for efficient integration of hardware accelerators in the processor, and mapping of complete baseband applications to the presented architecture. The architecture has been proven in a manufactured demonstrator chip for wireless LAN applications. Wireless LAN firmware has been developed and run on the chip at full speed. Silicon area and measured power consumption have proven to be similar to that of a non-programmable ASIC solution.

Recognizing handwritten mathematical content is a challenging problem, and more so when such content appears in classroom videos. However, given the fact that in such videos the handwritten text and the accompanying audio refer to the same content, a combination of video and audio based recognizer has the potential to significantly improve the content recognition accuracy. This dissertation, using a combination of video and audio based recognizers, focuses on improving the recognition accuracy associated with handwritten mathematical content in such videos. Our approach makes use of a video recognizer as the primary recognizer and a multi-stage assembly, developed as part of this research, is used to facilitate effective combination with an audio recognizer. Specifically, we address the following challenges related to audio-video based handwritten mathematical content recognition: (1) Video Preprocessing - generates a timestamped sequence of segmented characters from the classroom video in the face of occlusions and shadows caused by the instructor, (2) Ambiguity Detection - determines the subset of input characters that may have been incorrectly recognized by the video based recognizer and forwards this subset for disambiguation, (3) A/V Synchronization - establishes correspondence between the handwritten character and the spoken content, (4) A/V Combination - combines the synchronized outputs from the video and audio based recognizers and generates the final recognized character, and (5) Grammar Assisted A/V Based Mathematical Content Recognition - utilizes a base mathematical speech grammar for both character and structure disambiguation. Experiments conducted using videos recorded in a classroom-like environment demonstrate the significant improvements in recognition accuracy that can be achieved using our techniques.

As trends in broadband wireless communications applications demand faster development cycles, smaller sizes, lower costs, and ever increasing data rates, engineers continually seek new ways to harness evolving technology. The zero intermediate frequency receiver architecture has now become popular as it has both economic and size advantages over the traditional superheterodyne architecture.<p> Orthogonal Frequency Division Multiplexing (OFDM) is a popular multi-carrier modulation technique with the ability to provide high data rates over echo ladened channels. It has excellent robustness to impairments caused by multipath, which includes frequency selective fading. Unfortunately, OFDM is very sensitive to the carrier frequency offset (CFO) that is introduced by the downconversion process. The objective of this thesis is to develop and to analyze an algorithm for blind CFO recovery suitable for use with a practical zero-Intermediate Frequency (zero-IF) OFDM telecommunications system.<p> A blind CFO recovery algorithm based upon characteristics of the received signal's power spectrum is proposed. The algorithm's error performance is mathematically analyzed, and the theoretical results are verified with simulations. Simulation shows that the performance of the proposed algorithm agrees with the mathematical analysis.<p> A number of other CFO recovery techniques are compared to the proposed algorithm. The proposed algorithm performs well in comparison and does not suffer from many of the disadvantages of existing blind CFO recovery techniques. Most notably, its performance is not significantly degraded by noisy, frequency selective channels.

Att ansluta en digital signalprocessor kräver ett omfattande arbete. Innehållet i denna rapport sammanfattar teoretiska metoder för att integrera den digitala signalprocessorn ADAU1701 i talförstärkaren MMT-4, utvecklad av företaget Xena Medical. Arbetet har till största delen bestått i att finna en lämplig DSP och studera dess datamanual för att anpassa den till talförstärkaren. Mycket av rapporten sammanfattar beräkningar av komponentvärden och anpassning av ADAU1701 för MMT-4:s behov. ADAU1701 beskrivs utifrån det så kallade selfboot-läget där processorn kan arbeta som fristående processor. / This thesis describes how to integrate a digital signal processor (DSP) in the speech amplifier MMT-4. This is to improve the sound quality and prevent feedback. Much of the task consisted of selecting a suitable DSP design and components to get it work as a standalone processor in MMT-4. Following this report gives the reader an introduction how to design systems with a DSP and a full description of the DSP ADAU1701.

As trends in broadband wireless communications applications demand faster development cycles, smaller sizes, lower costs, and ever increasing data rates, engineers continually seek new ways to harness evolving technology. The zero intermediate frequency receiver architecture has now become popular as it has both economic and size advantages over the traditional superheterodyne architecture.<p> Orthogonal Frequency Division Multiplexing (OFDM) is a popular multi-carrier modulation technique with the ability to provide high data rates over echo ladened channels. It has excellent robustness to impairments caused by multipath, which includes frequency selective fading. Unfortunately, OFDM is very sensitive to the carrier frequency offset (CFO) that is introduced by the downconversion process. The objective of this thesis is to develop and to analyze an algorithm for blind CFO recovery suitable for use with a practical zero-Intermediate Frequency (zero-IF) OFDM telecommunications system.<p> A blind CFO recovery algorithm based upon characteristics of the received signal's power spectrum is proposed. The algorithm's error performance is mathematically analyzed, and the theoretical results are verified with simulations. Simulation shows that the performance of the proposed algorithm agrees with the mathematical analysis.<p> A number of other CFO recovery techniques are compared to the proposed algorithm. The proposed algorithm performs well in comparison and does not suffer from many of the disadvantages of existing blind CFO recovery techniques. Most notably, its performance is not significantly degraded by noisy, frequency selective channels.

The objective of this thesis is to design and implement a velocity-stabilizing driver for permanent magnet synchronous motor. The research presents how to achieve high efficiency in stabilizing overall velocity for a permanent magnet synchronous motor. In order to drive the integral system, there are six steps square-wave starting device, sine-wave driver, estimation of magnetic angle, velocity feedback and current feedback control circuits designed. A test platform is built by Microchip-made dsPIC33FJ128MC804 digital signal processor used as a control core. ¡§Simulink¡¨ simulator is used during the laboratory test. The simulation results are compared with those of experiments in order to verify the achievement of excellent performance of Robust Integral Velocity-stabilizing Controller on Permanent Magnet Synchronous Motor Driver.

The purpose of this thsis is to develop a vision perception based Intelligent Vehicle Driving Assistant System ( IVDAS ), which utilizes CCD camera to capture the movement of vehicle and road image on DSP-Based . According to daytime and night time, we analyzed the full information in the image to acquire the important and proper characteristics about lane mark and vehicle. There are two sub-systems in our system , including Lane Mark Detection and Vehicle Detection. The main goal is to identify if there are existing vehicles in the front of or near our vehicle. This system can provide information for the Intelligent Vehicle to make decision to avoid accident happening and assisted driver in driving safely.