Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 13 of 13
Full-Text Articles in Entire DC Network
Buffer Interference Architecture, Vladimir I. Prodanov
Buffer Interference Architecture, Vladimir I. Prodanov
Electrical Engineering
An up to 3× breakdown voltage tristate capable integrated circuit CMOS buffer includes a level shifter circuit and a driver circuit. The driver stage includes a series connected n-channel and p-channel cascode stacks, each including at least three transistors. Dynamic gate biasing is provided for the third n-channel and p-channel cascode transistors to prevent voltage overstress of the cascode transistors. The level shifter circuit includes at least one pseudo N-MOS inverter including an input transistor, a protective cascode stack including at least one n-channel cascode transistor, and a load transistor. The level shifter provides at least one voltage shifted input …
Illuminating Electronics Problem Solving With The Cal Poly Mohat Technique, David Braun, Fred W. Depiero, Michael Borland
Illuminating Electronics Problem Solving With The Cal Poly Mohat Technique, David Braun, Fred W. Depiero, Michael Borland
Electrical Engineering
This paper describes a Cal Poly version of circuit analysis to assist both students and instructors. The primary focus of the technique is helping students perform hand analysis, particularly the type of hand analysis that clarifies the student’s understanding of circuit operation in a manner that can benefit subsequent design decisions. The technique nicely complements graphical solution techniques such as load-line analyses and computer aided circuit simulation. MoHAT, an abbreviation of Model-Hypothesize-Analyze-Test, provides students with a roadmap to use, when analyzing even relatively complex circuits containing diodes and transistors. This paper emphasizes the pedagogy of MoHAT and describes a web-based …
Semiconducting Polymer Leds, David Braun
Semiconducting Polymer Leds, David Braun
Electrical Engineering
Technologies based on organic semiconductors may answer the increasing demands that consumers make in the areas of large-area electronics, lightweight displays, and portable computing. Advances in scientific understanding, technology, and device performance have occurred particularly rapidly in the area of polymer light-emitting diodes (LEDs). Material properties and economic considerations suggest that polymer LEDs are the devices most likely to win the race to applications that produce light on inorganic substrates such as glass and silicon, as well as plastic substrates.
The field of semiconducting polymers has its root in the 1977 discovery of the semiconducting properties of polyacetylene1. …
Fast Landmark-Based Registration Via Deterministic And Efficient Processing, Some Preliminary Results, Fred W. Depiero
Fast Landmark-Based Registration Via Deterministic And Efficient Processing, Some Preliminary Results, Fred W. Depiero
Electrical Engineering
Preliminary results of a new method for range view registration are presented. The method incorporates the LeRP Algorithm, which is a deterministic means to approximate subgraph isomorphisms. Graphs are formed that describe salient scene features. Graph matching then provides the scene-to-scene correspondence necessary for registration. A graphical representation is invariant with respect to sensor standoff. Test results from real and synthetic images indicate that a reasonable tradeoff between speed and accuracy is achievable. A mean rotational error of ~1 degree was found for a variety of test cases. Mean compute times were found to be better than 2 Hz, with …
Complex Low-Pass Filters, Peter Kiss, Vladimir I. Prodanov, Jack Glas
Complex Low-Pass Filters, Peter Kiss, Vladimir I. Prodanov, Jack Glas
Electrical Engineering
Quadrature zero-if transceivers suffer from the imbalance of the I and Q paths. By using a complex low-pass filter topology instead of a conventional pair of real low-pass filters, this imperfection can be reduced. Both analytical and numerical analysis show that the proposed technique is significantly more robust to circuit imperfections than the traditional architecture.
Automatic Speechreading With Application To Speaker Verification, Charles C. Broun, Xiaozheng Zhang, Russell M. Mersereau, Mark A. Clements
Automatic Speechreading With Application To Speaker Verification, Charles C. Broun, Xiaozheng Zhang, Russell M. Mersereau, Mark A. Clements
Electrical Engineering
Speech not only conveys the linguistic information, but also characterizes the talker's identify and therefore can be used in personal authentication. While most of the speech information is contained in the acoustic channel, the lip movement during speech production also provides useful information. In this paper we investigate the effectiveness of visual speech features in a speaker veri pound sterling cation task. We pound sterling rst present the visual front-end of the automatic speechreading system. We then develop a recognition engine to train and recognize sequences of visual parameters. The experimental results based on the XM2VTS database [1] demonstrate that …
Visual Speech Feature Extraction For Improved Speech Recognition, Xiaozheng Zhang, Russell M. Mersereau, Mark A. Clements, Charles C. Broun
Visual Speech Feature Extraction For Improved Speech Recognition, Xiaozheng Zhang, Russell M. Mersereau, Mark A. Clements, Charles C. Broun
Electrical Engineering
Mainstream automatic speech recognition has focused almost exclusively on the acoustic signal. The performance of these systems degrades considerably in the real world in the presence of noise. On the other hand, most human listeners, both hearing-impaired and normal hearing, make use of visual information to improve speech perception in acoustically hostile environments. Motivated by humans' ability to lipread, the visual component is considered to yield information that is not always present in the acoustic signal and enables improved accuracy over totally acoustic systems, especially in noisy environments. In this paper, we investigate the usefulness of visual information in speech …
Arrival Rate Identification For A Class Of Traffic Signal Control Problem, Xiao-Hua Yu, Allen R. Stubberud
Arrival Rate Identification For A Class Of Traffic Signal Control Problem, Xiao-Hua Yu, Allen R. Stubberud
Electrical Engineering
Setting signals at traffic intersections to reduce congestion is one of the most challenging problems in traffic management. To find the optimal control strategy, specific information of the traffic flows passing through intersections must be provided in advance. It has been shown that the Markovian decision control theory can be successfully applied to solve traffic signal control problems, when both the state transition probabilities and the one-step reward function are known. In this paper, an online parameter identification algorithm is investigated for adaptive Markovian decision control at an isolated traffic intersection with unknown vehicle arrival rates. The authors give a …
Thin Film Interference Filters For 25ghz Channel Spacing, M. A. Scobey, R. M. Fortenberry, L. F. Stokes, W. P. Kastanis, Dennis J. Derickson
Thin Film Interference Filters For 25ghz Channel Spacing, M. A. Scobey, R. M. Fortenberry, L. F. Stokes, W. P. Kastanis, Dennis J. Derickson
Electrical Engineering
No abstract provided.
Wireless Lans, Jack Glas, Mihai Banu, Joachim Hammerschmidt, Vladimir I. Prodanov, Peter Kiss
Wireless Lans, Jack Glas, Mihai Banu, Joachim Hammerschmidt, Vladimir I. Prodanov, Peter Kiss
Electrical Engineering
Wireless LANs based on the IEEE 802.11 standard have achieved wide customer acceptance in the enterprise environment. They are expected to continue to expand in popularity and become ubiquitous communication systems even in private and public places. This paper discusses the basics of the wireless LAN physical layer, focusing on radio transceiver specifications and design options.
Bimodal Fusion In Audio-Visual Speech Recognition, Xiaozheng Zhang, Russell M. Mersereau, Mark A. Clements
Bimodal Fusion In Audio-Visual Speech Recognition, Xiaozheng Zhang, Russell M. Mersereau, Mark A. Clements
Electrical Engineering
Extending automatic speech recognition (ASR) to the visual modality has been shown to greatly increase recognition accuracy and improve system robustness over purely acoustic systems. especially in acoustically hostile environments. An important aspect of designing such systems is how to incorporate the visual component Into the acoustic speech recognizer to achieve optimal performance. In this paper, we investigate methods of Integrating the audio and visual modalities within HMM-based classification models. We examine existing integration schemes and propose the use of a coupled hidden Markov model (CHMM) to exploit audio-visual interaction. Our experimental results demonstrate that the CHMM consistently outperforms other …
Audio-Visual Speech Recognition By Speechreading, Xiaozheng Zhang, Russell M. Mersereau, Mark A. Clements
Audio-Visual Speech Recognition By Speechreading, Xiaozheng Zhang, Russell M. Mersereau, Mark A. Clements
Electrical Engineering
Speechreading increases intelligibility in human speech perception. This suggests that conventional acoustic-based speech processing can benefit from the addition of visual information. This paper exploits speechreading for joint audio-visual speech recognition. We first present a color-based feature extraction algorithm that is able to extract salient visual speech features reliably from a frontal view of the talker in a video sequence. Then, a new fusion strategy using a coupled hidden Markov model (CHMM) is proposed to incorporate visual modality into the acoustic subsystem. By maintaining temporal coupling across the two modalities at the feature level and allowing asynchrony in the state …
Automatic Speechreading With Applications To Human-Computer Interfaces, Xiaozheng Zhang, Charles C. Broun, Russell M. Mersereau, Mark A. Clements
Automatic Speechreading With Applications To Human-Computer Interfaces, Xiaozheng Zhang, Charles C. Broun, Russell M. Mersereau, Mark A. Clements
Electrical Engineering
There has been growing interest in introducing speech as a new modality into the human-computer interface (HCI). Motivated by the multimodal nature of speech, the visual component is considered to yield information that is not always present in the acoustic signal and enables improved system performance over acoustic-only methods, especially in noisy environments. In this paper, we investigate the usefulness of visual speech information in HCI related applications. We first introduce a new algorithm for automatically locating the mouth region by using color and motion information and segmenting the lip region by making use of both color and edge information …