No description available.

Die vorliegende Arbeit beschreibt die Analyse und den Entwurf eines vollintegrierten Empfängers im UHF-Bereich mit dem Ziel, für die Verwendung im Mobilfunkstandard der vierten Generation geeignet zu sein, aber auch eine Einschätzung bezüglich der Anwendbarkeit eines solchen Empfängers für Geräte der fünften Generation vorzunehmen. Bei dem Empfängerkonzept handelt es sich um einen direkt digitalisierenden Empfänger, d.h. das Empfangssignal wird direkt mittels Analog-Digital-Umsetzer digitalisiert und vorher nicht auf eine niedrigere Trägerfrequenz abwärtsgemischt. Der Analogteil eines direkt digitalisierenden Empfängers besteht also nur aus einem LNA und einem ADU. Diese Empfängertopologie stellt hohe Anforderungen an den ADU und bildet deshalb den Fokus dieser Arbeit. Für die Untersuchungen des Empfängerkonzepts wurde sich auf eine Implementierung für niedrige Mobilfunkfrequenzbänder beschränkt, weshalb für den Entwurf festgelegt wurde, eine Trägerfrequenz von 750MHz mit einer Signalbandbreite von 20MHz empfangen und verarbeiten zu können. Der Entwurf erfolgte in einer 28nm CMOS Technologie, sollte flächen- und stromsparend sein, sich aber auch für zukünftige Technologieknoten mit noch höherer Integrationsdichte eignen, ohne die analogen Schaltblöcke gesondert bei der Technologiewahl berücksichtigen zu müssen. Somit konnten integrierte Spulen in der Empfängerkette nicht verwendet werden. Zugleich muss im Empfänger der Alias-Effekt unterdrückt werden. Um diese strengen Rahmenbedingungen ohne exorbitante Stromaufnahme zu erfüllen, kommt als ADU-Topologie nur ein zeitkontinuierlicher Sigma-Delta-Modulator in Frage. Dazu musste das Schleifenfilter des Sigma-Delta-Modulators komplett neu entworfen werden, was u.a. den Entwurf einer einstellbaren hochgütigen aktiven Spule erforderte. Das Empfängerkonzept konnte erfolgreich an der gefertigten Schaltung verifiziert werden, der gemessene dynamische Bereich blieb jedoch weit hinter dem ursprünglich anvisierten Ziel von 84dB zurück. Es konnte lediglich ein dynamischer Bereich von 59dB bei einer Leistungsaufnahme von 36,4mW und einer maximalen Auflösung von 4,5 Bit erreicht werden. Nachfolgende Untersuchungen des Konzepts zeigen aber Lösungsansätze auf, mit denen die Auflösung auf 8,7 Bit und der Dynamikbereich auf 69dB gesteigert werden kann.

In this thesis, the performance of absolute quartz-crystal barometers is presented, and their ability to measure, with sub-microbar precision, atmospheric pressure fluctuations with periods as short as a few seconds is demonstrated. The first observations of ocean-generated atmospheric infrasound with periods of about 5 s and sub-microbar amplitudes, called microbaroms, using single absolute barometers are presented. These barometers can measure microbaroms with amplitudes down to 50 nanobars and the 1-h estimates of microbarom amplitudes calculated from data collected independently with three collocated barometers differed by only a few nanobars. The observed microbaroms have amplitudes between 0.2 microbars and 1 microbar with periods between 3 s and 8 s. The relative accuracy between the barometers is of the order of a few pascals. It is concluded that these absolute quartz-crystal barometers can be used effectively for infrasound monitoring.

No description available.

As the fifth generation of telecommunications is deployed, and the number of devices transmitting in the microwave bands grows, effective filtering technologies are becoming ever more important. When a filter is designed, some performance trade-offs have to be made, and one of them is the trade-off between filter size and electrical performance. This thesis addresses this tradeoff by proposing two fourth order all-pole Chebyshev filters in the Ku band realised in suspended integrated stripline technology, which combine a small physical footprint with high unloaded Q-values. These characteristics make it possible to create more compact systems, or increase the filtering capability in systems where the existing filter size is the limiting factor. The first filter was designed with the goal of maximum compactness, with the resonators made up of metallic strips on both sides of the microwave substrate, with intra-resonator capacitive coupling between the strip, and inter-resonator capacitive coupling mainly between adjacent resonators. The second filter was made slightly larger but with improved electrical performance, with the main difference being a via shorting the resonator strips together, largely confining the electric field to the suspended integrated stripline’s air cavity. The comparison between these filters allows a potential systems engineer to make an informed decision on how compact a filter could be while still providing good enough performance. Both filters had a return loss less than 20 dB in the entire passband, the first filter had an insertion loss ranging from -2.15 dB to -1.6 dB, and the second filter had an insertion loss ranging from -2 dB to -1.1 dB. / I takt med att den femte generationen av telekommunikationsteknologi utvecklas och lanseras så finner sig kommunikationssystem i en allt mer brusig signalmiljö. Fler och fler system kommer att behöva dela på det tillgängliga elektromagnetiska spektrat, och därmed behövs allt mer effektiv teknologi för att filtrera signalerna, både på mottagar- och sändarsidan. Trådlös kommunikation sker med hjälp av elektromagnetisk strålning inom radiospektrat, och dessa signaler kräver speciella mikrovågskomponenter för förstärkning och filtrering. Mikrovågsfilter konstrueras ofta som stora och materialkrävande kavitetsfilter i metall, eftersom denna typ av filter har lägst förluster av de vanligt förekommande filtertyperna. Den stora materialåtgången är en uppenbar nackdel ur en hållbarhetssynpunkt, och storleken på filtret kan i vissa kompakta tillämpningar utgöra en begränsning av ett systems filtreringsförmåga. Detta examensarbete presenterar därmed två nya filter för Ku-bandet i integrerad hängande-substrat-stripline-teknologi, vars konstruktion kombinerar ett kompakt format med relativt låga energiförluster. Dessa filter utgör ett alternativ för framtida system som både kan tillåta miniatyrisering av system där filtrena är den begränsande faktorn storleksmässigt, såväl som att möjliggöra ökad filteringskapabilitet för redan kompakta system. Det första filtret, vars mål var maximal kompakthet hade förluster mellan -2.15 dB och -1.6 dB i passbandet, medan det andra filtret hade något större dimensioner och hade förluster mellan -2 dB och -1.1 dB. Då filtrena konstruerades i form av diskreta komponenter med koaxialdon, så är de angivna förlusterna till viss del orsakade av donen och dess omgivande struktur i filtrena. Förlusterna kan alltså vidare minimeras om filtrena i stället konstrueras som en del av ett integrerat system, direkt anslutna till en eller flera angränsande komponenter.

No description available.

<p>Speech recognition is widely applied to translation from speech to related text, voice driven commands, human machine interface and so on [1]-[8]. It has been increasingly proliferated to Human’s lives in the modern age. To improve the accuracy of speech recognition, various algorithms such as artificial neural network, hidden Markov model and so on have been developed [1], [2].</p> <p>In this thesis work, the tasks of speech recognition with various classifiers are investigated. The classifiers employed include the support vector machine (SVM), k-nearest neighbors (KNN), random forest (RF) and convolutional neural network (CNN). Two novel features extraction methods of sparse discrete wavelet decomposition (SDWD) and bandpass filtering (BPF) based on the Mel filter banks [9] are developed and proposed. In order to meet diversity of classification algorithms, one-dimensional (1D) and two-dimensional (2D) features are required to be obtained. The 1D features are the array of power coefficients in frequency bands, which are dedicated for training SVM, KNN and RF classifiers while the 2D features are formed both in frequency domain and temporal variations. In fact, the 2D feature consists of the power values in decomposed bands versus consecutive speech frames. Most importantly, the 2D feature with geometric transformation are adopted to train CNN.</p> <p>Speech recognition including males and females are from the recorded data set as well as the standard data set. Firstly, the recordings with little noise and clear pronunciation are applied with the proposed feature extraction methods. After many trials and experiments using this dataset, a high recognition accuracy is achieved. Then, these feature extraction methods are further applied to the standard recordings having random characteristics with ambient noise and unclear pronunciation. Many experiment results validate the effectiveness of the proposed feature extraction techniques.</p>

Vast attention has been paid to active continuous-time filters over the years. Thus as the cheap, readily available integrated circuit OpAmps replaced their discrete circuit versions, it became feasible to consider active-RC filter circuits using large numbers of OpAmps. Similarly the development of integrated operational transconductance amplifier (OTA) led to new filter configurations. This gave rise to OTA-C filters, using only active devices and capacitors, making it more suitable for integration. The demands on filter circuits have become ever more stringent as the world of electronics and communications has advanced. In addition, the continuing increase in the operating frequencies of modern circuits and systems increases the need for active filters that can perform at these higher frequencies; an area where the LC active filter emerges. What mainly limits the performance of an analog circuit are the non-idealities of the used building blocks and the circuit architecture. This research concentrates on the design issues of high frequency continuous-time integrated filters. Several novel circuit building blocks are introduced. A novel pseudo-differential fully balanced fully symmetric CMOS OTA architecture with inherent common-mode detection is proposed. Through judicious arrangement, the common-mode feedback circuit can be economically implemented. On the level of system architectures, a novel filter low-voltage 4th order RF bandpass filter structure based on emulation of two magnetically coupled resonators is presented. A unique feature of the proposed architecture is using electric coupling to emulate the effect of the coupled-inductors, thus providing bandwidth tuning with small passband ripple. As part of a direct conversion dual-mode 802.11b/Bluetooth receiver, a BiCMOS 5th order low-pass channel selection filter is designed. The filter operated from a single 2.5V supply and achieves a 76dB of out-of-band SFDR. A digital automatic tuning system is also implemented to account for process and temperature variations. As part of a Bluetooth transmitter, a low-power quadrature direct digital frequency synthesizer (DDFS) is presented. Piecewise linear approximation is used to avoid using a ROM look-up table to store the sine values in a conventional DDFS. Significant saving in power consumption, due to the elimination of the ROM, renders the design more suitable for portable wireless communication applications.

About 50 million people worldwide suffer from epilepsy and one third of them have seizures that are refractory to medication. In the past few decades, deep brain stimulation (DBS) has been explored by researchers and physicians as a promising way to control and treat epileptic seizures. To make the DBS therapy more efficient and effective, the feedback loop for titrating therapy is required. It means the implantable DBS devices should be smart enough to sense the brain signals and then adjust the stimulation parameters adaptively. This research proposes a signal-sensing channel configurable to various neural applications, which is a vital part for a future closed-loop epileptic seizure stimulation system. This doctoral study has two main contributions, 1) a micropower low-noise neural front-end circuit, and 2) a low-power configurable neural recording system for both neural action-potential (AP) and fast-ripple (FR) signals. The neural front end consists of a preamplifier followed by a bandpass filter (BPF). This design focuses on improving the noise-power efficiency of the preamplifier and the power/pole merit of the BPF at ultra-low power consumption. In measurement, the preamplifier exhibits 39.6-dB DC gain, 0.8 Hz to 5.2 kHz of bandwidth (BW), 5.86-μVrms input-referred noise in AP mode, while showing 39.4-dB DC gain, 0.36 Hz to 1.3 kHz of BW, 3.07-μVrms noise in FR mode. The preamplifier achieves noise efficiency factor (NEF) of 2.93 and 3.09 for AP and FR modes, respectively. The preamplifier power consumption is 2.4 μW from 2.8 V for both modes. The 6th-order follow-the-leader feedback elliptic BPF passes FR signals and provides -110 dB/decade attenuation to out-of-band interferers. It consumes 2.1 μW from 2.8 V (or 0.35 μW/pole) and is one of the most power-efficient high-order active filters reported to date. The complete front-end circuit achieves a mid-band gain of 38.5 dB, a BW from 250 to 486 Hz, and a total input-referred noise of 2.48 μVrms while consuming 4.5 μW from the 2.8 V power supply. The front-end NEF achieved is 7.6. The power efficiency of the complete front-end is 0.75 μW/pole. The chip is implemented in a standard 0.6-μm CMOS process with a die area of 0.45 mm^2. The neural recording system incorporates the front-end circuit and a sigma-delta analog-to-digital converter (ADC). The ADC has scalable BW and power consumption for digitizing both AP and FR signals captured by the front end. Various design techniques are applied to the improvement of power and area efficiency for the ADC. At 77-dB dynamic range (DR), the ADC has a peak SNR and SNDR of 75.9 dB and 67 dB, respectively, while consuming 2.75-mW power in AP mode. It achieves 78-dB DR, 76.2-dB peak SNR, 73.2-dB peak SNDR, and 588-μW power consumption in FR mode. Both analog and digital power supply voltages are 2.8 V. The chip is fabricated in a standard 0.6-μm CMOS process. The die size is 11.25 mm^2. The proposed circuits can be extended to a multi-channel system, with the ADC shared by all channels, as the sensing part of a future closed-loop DBS system for the treatment of intractable epilepsy.

Le but de ce travail était de développer des filtres passe-bande RF dans la technologie de PCB, avec trois objectifs principaux. Le premier objectif était de développer des formules de synthèse tosimplify la procédure de conception du filtre. Le deuxième était de parvenir à un rejet wideout bande sans modifier les caractéristiques de la bande de filtrage. Le troisième objectif est de contrôler la fréquence centrale du filtre en utilisant diode varicap. / The purpose of this work was to develop RF bandpass filters in PCB technology,with three main objectives. The first objective was to develop synthesis formulas tosimplify the design procedure of the filter. The second was to achieve wideout-of-band rejection without modifying the in-band filtering characteristics. Thethird objective was to control the center frequency of the filter by using varactordiode.The bandpass filter topology treated in this thesis is based on Stub-LoadedResonators (SLR). The main features of this filter topology were treated. Equivalentcircuits based on J-inverters and susceptance parameters were derived. Based onthese equivalent circuits, synthesis formulas were developed. Simulations werepresented to validate the synthesis theory. For a proof-of-concept, third orderstripline bandpass filters were designed and fabricated based on this synthesis.Analysis technique using odd- and even- mode was achieved on the SLR. Thusresonance odd- and even-mode conditions were derived. These conditions aim toeasily control the first spurious frequency. Moreover, to go further in improving theout-of-band rejection a new technique, called “U corner structure”, was developedand design rules were derived. Based on these design rules an extended out-of-bandrejection was achieved without any modification in the passband and by maintainingthe compactness of the filter. A first spurious frequency was localized at up to ninetimes the working frequency in the case of the Parallel-coupled Stub-Loadedresonator (PC-SLR) filter. Also, by applying this technique into the classicalparallel-coupled filter the first and second spurious frequencies were rejected. Toaddress the issue of tunable filters, the SLRs were correctly loaded by variablecapacitors (varactor diode). The center frequency of the PC-SLR filter was easilycontrolled by maintaining a large out-of-band rejection.