ICASSP99 Digital Signal Processing Education

Digital Signal Processing Education
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	A Teaching And Evaluation Tool For Adaptive Signal Processing Using Java Authors: Moritz Harteneck, Robert W Stewart, Page (NA) Paper number 1291 Abstract: In this paper, a teaching and evaluation tool for adaptive algorithms using the JAVA platform is presented. The tool has been developed for use in teaching adaptive signal processing and gives the students the facility to observe a comprehensive set of algorithms executing in the time, frequency and z-domain, vary any parameters and thereby augment the traditional learning process. Another key aim in the development was to provide a simple tool so that the feasibility of adaptive algorithms for a particular problem can be evaluated quickly. The JAVA platform has been chosen for this task since it is possible to run the tool on any computer system (e.g. Unix, Windows, Linux) using a JAVA virtual machine via the world wide web. The tool is freely available to use at http://www.spd.eee.strath.ac.uk/users/moritz/algorithmDemo/jdk1.1. IC991291.PDF (From Author) IC991291.PDF (Rasterized) TOP Two New DSP Teaching Tools: DigiFilter and DSPlus Authors: Hen-Geul yeh, EE Department, California State University, Long Beach, USA (USA) Xiufeng Cao, Lab of Earthquake Electronic Instruments, Seismological Bureau of Shaanxi Province, 4 Shuiwen Xiang, Bianjia Cun, Xi'an Shaanxi 710068, P. R. China (China) Page (NA) Paper number 1485 Abstract: Two window-based new digital signal processing (DSP) software packages, namely, DigiFilter and DSPlus are used as teaching tools at California State University, Long Beach (CSULB), DSP laboratory in conjunction with DSK31 of TI. First, DigiFilter is a digital filter design and processing software. The uniqueness of this package is that it is not only design digital filters, but also supports DSK31 for real-time filtering. Second, DSPlus is a data acquisition and processing software which supports DSK31 for real-time FFT and can be used as a digital scope. These two packages are employed as computer-aided design and analysis tools for DSP courses. IC991485.PDF (From Author) IC991485.PDF (Rasterized) TOP Teaching DSP Concepts Using MATLAB and the TMS320C31 DSK Authors: Cameron H. G. Wright, Thad B. Welch, Walter J. Gomes III, Page (NA) Paper number 1778 Abstract: A graphically-oriented MATLAB program written by the authors facilitates teaching real-world digital signal processing concepts such as quantization of digital filter coefficients that occur in fixed-point processors, for example the widely used TMS320C5x. While many universities have or plan to buy the inexpensive floating-point TMS320C31 DSKs for pedagogical reasons, this MATLAB program simulates certain fixed-point effects on these floating-point devices and eliminates the need to purchase expensive specialized software programs or extra hardware. The program described in this paper provides an interactive graphical user interface which communicates directly with the DSK, and demonstrates in real-time how coefficient quantization adversely affects filter performance, without the need for tedious programming of the TMS320C31. IC991778.PDF (From Author) IC991778.PDF (Rasterized) TOP Reinforcing the Understanding of Signal Processing Concepts Using Audio Exercises Authors: John W Pierre, Robert F Kubichek, Jerry C Hamann, Page (NA) Paper number 1845 Abstract: In the near future, multimedia techniques will be used more extensively in signal processing education because the technology is available and the benefits to student learning and information retention are high. Using a variety of teaching techniques helps a wider range of students, who have different learning styles, and enhances student skills in their weaker areas. This paper describes a number of audio signal processing homework exercises used to reinforce concepts of signal processing. These exercises include some fundamental concepts of DSP (quantization, aliasing, Fourier analysis, and filtering) and more advanced areas (sampling rate conversion, LCMV filtering, and adaptive filtering). All these exercises use the signal processing and audio capabilities of MATLAB. A web page for these homework exercises is being developed at wwweng.uwyo.edu/electrical/dsp_audio. IC991845.PDF (From Author) IC991845.PDF (Rasterized) TOP Making Music with MATLAB: An Electronic Music Synthesis Course for Engineering Students Authors: Ed Doering, Page (NA) Paper number 2169 Abstract: An elective course in electronic music synthesis has been developed for electrical and computer engineering students. The course provides an interesting way to integrate and apply DSP and computer manipulation concepts studied in previous courses, and extends student understanding of more advanced concepts such as time-evolving spectra. MATLAB is a standard platform used in the signals and DSP courses, so MATLAB forms the primary tool for converting algorithmic descriptions of waveforms into sound. The paper outlines course topics and methods, includes a detailed example of pedagogy, and presents assessment results. Example MATLAB code, graphics, and sound clips are available on-line at http://www.rose-hulman.edu/~doering/icassp99. IC992169.PDF (From Author) IC992169.PDF (Rasterized) TOP