ICASSP99 Automotive Applications / Industrial Signal Processing

Automotive Applications / Industrial Signal Processing
Home Full List of Titles 1: Speech Processing CELP Coding Large Vocabulary Recognition Speech Analysis and Enhancement Acoustic Modeling I ASR Systems and Applications Topics in Speech Coding Speech Analysis Low Bit Rate Speech Coding I Robust Speech Recognition in Noisy Environments Speaker Recognition Acoustic Modeling II Speech Production and Synthesis Feature Extraction Robust Speech Recognition and Adaptation Low Bit Rate Speech Coding II Speech Understanding Language Modeling I 2: Speech Processing, Audio and Electroacoustics, and Neural Networks Acoustic Modeling III Lexical Issues/Search Speech Understanding and Systems Speech Analysis and Quantization Utterance Verification/Acoustic Modeling Language Modeling II Adaptation /Normalization Speech Enhancement Topics in Speaker and Language Recognition Echo Cancellation and Noise Control Coding Auditory Modeling, Hearing Aids and Applications of Signal Processing to Audio and Acoustics Spatial Audio Music Applications Application - Pattern Recognition & Speech Processing Theory & Neural Architecture Signal Separation Application - Image & Nonlinear Signal Processing 3: Signal Processing Theory & Methods I Filter Design and Structures Detection Wavelets Adaptive Filtering: Applications and Implementation Nonlinear Signals and Systems Time/Frequency and Time/Scale Analysis Signal Modeling and Representation Filterbank and Wavelet Applications Source and Signal Separation Filterbanks Emerging Applications and Fast Algorithms Frequency and Phase Estimation Spectral Analysis and Higher Order Statistics Signal Reconstruction Adaptive Filter Analysis Transforms and Statistical Estimation Markov and Bayesian Estimation and Classification 4: Signal Processing Theory & Methods II, Design and Implementation of Signal Processing Systems, Special Sessions, and Industry Technology Tracks System Identification, Equalization, and Noise Suppression Parameter Estimation Adaptive Filters: Algorithms and Performance DSP Development Tools VLSI Building Blocks DSP Architectures DSP System Design Education Recent Advances in Sampling Theory and Applications Steganography: Information Embedding, Digital Watermarking, and Data Hiding Speech Under Stress Physics-Based Signal Processing DSP Chips, Architectures and Implementations DSP Tools and Rapid Prototyping Communication Technologies Image and Video Technologies Automotive Applications / Industrial Signal Processing Speech and Audio Technologies Defense and Security Applications Biomedical Applications Voice and Media Processing Adaptive Interference Cancellation 5: Communications, Sensor Array and Multichannel Source Coding and Compression Compression and Modulation Channel Estimation and Equalization Blind Multiuser Communications Signal Processing for Communications I CDMA and Space-Time Processing Time-Varying Channels and Self-Recovering Receivers Signal Processing for Communications II Blind CDMA and Multi-Channel Equalization Multicarrier Communications Detection, Classification, Localization, and Tracking Radar and Sonar Signal Processing Array Processing: Direction Finding Array Processing Applications I Blind Identification, Separation, and Equalization Antenna Arrays for Communications Array Processing Applications II 6: Multimedia Signal Processing, Image and Multidimensional Signal Processing, Digital Signal Processing Education Multimedia Analysis and Retrieval Audio and Video Processing for Multimedia Applications Advanced Techniques in Multimedia Video Compression and Processing Image Coding Transform Techniques Restoration and Estimation Image Analysis Object Identification and Tracking Motion Estimation Medical Imaging Image and Multidimensional Signal Processing Applications I Segmentation Image and Multidimensional Signal Processing Applications II Facial Recognition and Analysis Digital Signal Processing Education Author Index A B C D E F G H I J K L M N O P Q R S T U V W X Y Z	Application of a Brightness-Adapted Edge Detector for Real-Time Railroad Tie Detection in Video Images Authors: Joerg Velten, Laboratory for Communication Theory, Department of Electrical Engineering, University of Wuppertal FB13, 42097 Wuppertal, Germany (Germany) Anton Kummert, Laboratory for Communication Theory, Department of Electrical Engineering, University of Wuppertal FB13, 42097 Wuppertal, Germany (Germany) Dirk Maiwald, Page (NA) Paper number 1127 Abstract: Due to the increasing calculation power of dedicated hardware, real-time image processing becomes practicable at reasonable expenses. Nevertheless the algorithms concerned have to be adapted to real-time requirements. The subject treated in this paper is tie detection for automated railway inspection. An edge detector is proposed in which the sensitivity is adaptable to the local brightness of the processed image. The required effort is the performance of a convolution operation with subsequent decision concerning the sign of the values obtained. IC991127.PDF (From Author) IC991127.PDF (Rasterized) TOP Improved Knock Detection by Time Variant Filtered Structure-Borne Sound Authors: Sönke Carstens-Behrens, Ruhr University Bochum, Department of Electrical Engineering, D-44780 Bochum, Germany (Germany) Michael Wagner, Ruhr University Bochum, Department of Electrical Engineering, D-44780 Bochum, Germany (Germany) Johann F Böhme, Ruhr University Bochum, Department of Electrical Engineering, D-44780 Bochum, Germany (Germany) Page (NA) Paper number 1306 Abstract: In order to detect knock in spark ignition engines generally structure--borne sound signals measured by acceleration sensors mounted on the engine housing are used. At test bed engines additional pressure sensors measuring the pressure inside the combustion chamber deliver a reference signal to adjust the parameters of knock detection based on the sound signal. We show by experimental results that the approximation of pressure signals by time variant filtering of structure--borne sound increases the performance of knock detection significantly. These results can be regarded as an upper bound of what can be achieved by knock detectors with less computational load. IC991306.PDF (From Author) IC991306.PDF (Rasterized) TOP Speech-Enabled Information Retrieval in the Automobile Environment Authors: Yeshwant K Muthusamy, Rajeev Agarwal, Yifan Gong, Vishu R Viswanathan, Page (NA) Paper number 2067 Abstract: With recent advances in speech recognition and wireless communications, the possibilities for information access in the automobile have expanded significantly. In this paper, we describe four system prototypes for (i) voice-dialing, (ii) Internet information retrieval---called InfoPhone, (iii) voice e-mail, and (iv) car navigation. These systems are designed primarily for hands-busy, eyes-busy conditions, use speaker-independent speech recognizers, and can be used with a restricted display or no display at all. The voice-dialing prototype incorporates our hands-free speech recognition engine that is very robust in noisy car environments (~1% WER and 3% string error rate on the continuous digit recognition task at 0 db SNR). The InfoPhone, voice e-mail, and car navigation prototypes use a client-server architecture with the client designed to be resident on a phone or other hand-held device. IC992067.PDF (From Author) IC992067.PDF (Rasterized) TOP A DSP Active Filter For Power Conditioning Authors: Abdurrahman Unsal, Annette R von Jouanne, Virginia L Stonick, Page (NA) Paper number 1604 Abstract: ABSTRACT This paper presents a DSP controlled active filter for power conditioning. The active filter is designed to cancel lower order harmonics generated by nonlinear loads using a series resonant LC tank tuned to a high frequency along with a pulse-width modulation (PWM) rectifier topology. The PWM control of the active filter allows for independent control of lower order harmonics, both in amplitude and in phase, to efficiently cancel load generated harmonics for power quality improvement. The active filter control algorithm is simulated in Matlab and the harmonic cancellation process is verified through PSpice. IC991604.PDF (From Author) IC991604.PDF (Rasterized) TOP Fourier and Wavelet Transform Features for Whirl Tower Diagnostics Authors: Scott Fornero, N. Kehtarnavaz, M. Swaminadham, Don A Phillips, Page (NA) Paper number 1814 Abstract: This paper describes the application of signal processing methods to extract key features for detection and prediction of faults in rotating mechanical components of a whirl tower test facility. Procedures will be described for processing the vibration signals from critical components of the whirl tower using the Fourier transform and the wavelet transform. The wavelet transform provides localization of signals in both time and frequency, revealing data that is averaged out in the Fourier analysis. The features extraction processes described are based on specific knowledge of the whirl tower equipment. The real-time analysis discussed will allow for scheduling of inspection, repair, or replacement of failed and degraded components with minimal impact on production. IC991814.PDF (Scanned) TOP An Industrial Application of Signal Processing: Ceramic Microcrack Detection Authors: Ramón Miralles, Juan Morales, Luis Vergara, Page (NA) Paper number 1282 Abstract: On line quality control in industrial plants is an open field for signal processing applications. In this paper we present a real-time prototype for the detection of microcracks in tiles of wet ceramic by means of ultrasonics. We also describe the signal processing algorithm applied and particularly how the false alarm probability (PFA) may be controlled. Finally an experimental test shows the agreement between the predicted PFA and the measured one, thus giving practical applicability to the proposed method. IC991282.PDF (From Author) IC991282.PDF (Rasterized) TOP Application of Ground Penetrating Radar for Coal Depth Measurement Authors: Jonathon C Ralston, David W Hainsworth, Page (NA) Paper number 1822 Abstract: This paper describes the development of a new ground penetrating radar system for measuring coal thickness in underground mining operations. Although subsurface radar exhibits significant potential for depth measurement, the raw signals are complicated and cannot be readily interpreted by mining personnel. We show how real-time signal digital processing plays a key role in transforming the raw radar signals into a form that can be readily understood. We also indicate some of the unique challenges encountered when implementing a radar processing system in a harsh underground mining environment. IC991822.PDF (From Author) IC991822.PDF (Rasterized) TOP Control-Oriented Identification And Uncertainty Estimation For Paper Machines Authors: Alf Green, Kostas Tsakalis, Ward MacArthur, Sachi Dash, Page (NA) Paper number 2494 Abstract: A control-oriented identification and uncertainty estimation approach from input-output data is presented, for use in the design of control systems for paper machines. The application of this approach is demonstrated on a high fidelity simulator. An estimate of the process model along with the uncertainty bounds that describe the confidence limits of the model, consistent with the robust control theory, is obtained. These results can then used to design a multivariable controller based on loop-shaping principles and guided by the estimated uncertainty bounds. The simulations demonstrate the suitability of the approach and illustrate that the technique can be used to provide high bandwidth performance for both servo and regulatory control. IC992494.PDF (From Author) IC992494.PDF (Rasterized) TOP