Circuits 1 Passive Components M. Pecht, P Lall,G. Ballou, C Sankaran, N. Angelopoulos esistors. Capacitors and Inductors. Transformers. Electrical Fuses 2 Voltage and Current Sources R.C. Dorf, Z Wan, C.R. Paul J.R. Cogdell tep, Impulse, Ramp, Sinusoidal

73.1 Signal Detection General Considerations. Detection of Known Signals.Detection of Parametrized Signals. Detection of Random Signals Deciding A mong Multiple Signals. Detection of Signals in More General noise rocessesRobust and Nonparametric Detection Distributed and Sequential Detection. Detection with Continuous-Time Measurements 73.2 Noise Statistics of Noise. Noise Pow owerect of Linear Transformations on Autocorrelation and Power Spectral Density White, Gaussian

3.1 Voltage and Current Laws Kirchhoff's Current Law. Kirchhoff's Current Law in the Complex Domain.Kirchhoff's Voltage Law. Kirchhoff's Voltage Law in the Complex Domain. Importance of KVL and KCI Michael D. Ciletti 3.2 Node and Mesh Analysis University of Colorado Node Analysis. Mesh Analysis. Summary 3.3 Network Theorems J. David Irwin

2.1 Step, Impulse, Ramp, Sinusoidal, Exponential,and University of California, Davis DC Signals Zhen Wan Step Function. The Impulse. Ramp Function.Sinusoidal FunctionDCSignal University of California, Davis 2.2 Ideal and Practical Sources Clayton R. Paul Ideal Sources. Practical Sources University of Kentucky, Lexington 2.3 Controlled Sources What Are Controlled Sources? What Is the Significance of J. R. Cogdell

1.1 Resistors University of Maryland Resistor Characteristics Resistor Types Pradeep Lall 1.2 Capacitors and Inductors Capacitors. Types of Capacitors Inductors Motorola 1.3 Transformers Glen Ballou Types of Transformers.Principle of Ballou Associates Transformation. Electromagnetic Equation. Transformer Core. Transformer Losses. Transformer C. Sankaran

18.1 Special Architectures Pipelining. Parallel Processing. Retiming. Unfolding. ia Folding Transformation Look-Ahead Technique. Associativity Transformation. Distributivity Arithmetic Processor Architectures. Computer-Aided Design. Future VLSI DSP Systems Keshab K. Parhi 18.2 Signal Processing Chips and Applications University of Minnesota System. Implementation of a Finite Impulse Response Filter with Rulph Chassaing the TMS320C25. Floating-Point TMS320C30-Based Development Roger Williams University

17.1 Digital Image Processing Image Capture. Point Operations Image Enhancement. Digital Purdue University Image Compression. Reconstruction. Edge Detection.Analysis Charles A.Bouman and Computer Vision Purdue University 17.2 Video Signal Processing Sampling. Quantization. Vector Quantization.Video Sarah A. Rajala Compression Informatin Preserving Coders.Predictive North Carolina State University Coding. Motion-Compensated Predictive Coding- Transform Coding. Subband Coding HDTV. Motion Estimation N.K.Bose

20.1 Definitions and Scope Introduction. Definitions and Style of Computation. ANN Types and Applications 20.2 Multilayer Perceptrons Function of Each PE. How to Train MLPs Applying Back- Propagation in Practice. A Posteriori Probabilities 20.3 Radial Basis Function Networks 20.4 Time Lagged Networks Memory Structures. Training-Focused TLN Architectures

Yariv Ephraim ATeT Bell Laboratories George Mason University Jesse W.Fussell General Approaches. Model Adaptation. Analysis-by-Synthesis. Department of Defense Particular Implementations. Speech Quality and Intelligibility Standardiza Variable Rate Coding. Summary and Conclusions Lynn D. Wilcox FX Palo Alto Lab

14.1 Fourier Transforms Introduction. The Classical Fourier Transform for CT Signals. ion of CT Periodic Signals.Generalized T Fourier Transform.Relationship e Fourier Transform 14.2 Fou er Transform lationship to the Finite Time W. Kenneth Jenkins University of Illinois Amplitude,and Phase Alexander D. Poularikas