SIGNAL (programming language)

Abstract: The authors present the main features of the SIGNAL language and its compiler. Designed to provide safe real time system programming, the SIGNAL language is based on synchronous principles. Its semantics are defined via a mathematical model of multiple-clocked flows of data and events. SIGNAL programs describe relations on such objects, so that it is possible to program a real time application via constraints. The compiler calculates the solutions of the system and thus can be used as a proof system. The equational approach is a natural way to derive multiprocessor executions of a program. This approach uses a graphical interface of a block-diagram style, and the system is illustrated on a speech recognition application. >

Abstract: An inverted pendulum is simulated as a control task with the goal of learning to balance the pendulum with no a priori knowledge of the dynamics. In contrast to other applications of neural networks to the inverted pendulum task, performance feedback is assumed to be unavailable on each step, appearing only as a failure signal when the pendulum falls or reaches the bounds of a horizontal track. To solve this task, the controller must deal with issues of delayed performance evaluation, learning under uncertainty, and the learning of nonlinear functions. Reinforcement and temporal-difference learning methods are presented that deal with these issues to avoid unstable conditions and balance the pendulum. >

Abstract: Multirate Signal Processing for Communication Systems: Current Practice and Next Generation Techniques fredric j harrisMultirate signal processing can reduce costs and improve performance in applications ranging from laboratory instruments to cable modems, wireless systems, and consumer entertainment products. This book offers the first systematic, clear, and intuitive introduction to multirate signal processing for working engineers and system designers.The author uses extensive examples and figures to illuminate a wide range of multirate techniques, from basic resampling to leading-edge cascade and multiple-stage filter structures. Along the way, he draws on extensive research and consulting experience to introduce processing itricksi shown to maximize performance and efficiency.Coverage includes: Effective sampling and resampling in time and frequency domains Relationships between IIR Filter specifications and filter length (taps) Window design and equal-ripple (Remez) design techniques Square-Root Nyquist and Half Band Filters, including new design enhancements Polyphase IIR Filters: up-sampling, down-sampling, and cascade up-down sampling Polyphase interpolators and filters that perform arbitrary sample rate change Dyadic Half Band Filters, including quadrature mirror and IIR Filters Polyphase Channelizers, including M-path modulators, demodulator channel banks, simultaneous interpolation, and channel bank formation Comprehensive coverage of recursive all-pass filtersoa topic never before covered in this detail Comparisons with traditional DSP design techniques Extensive applications coverage throughout

Abstract: This authoritative volume on statistical and adaptive signal processing offers you a unified, comprehensive and practical treatment of spectral estimation, signal modeling, adaptive filtering, and array processing. Packed with over 3,000 equations and more than 300 illustrations, this unique resource provides you with balanced coverage of implementation issues, applications, and theory, making it a smart choice for professional engineers and students alike.; From the fundamentals of discrete-time signal processing and linear signal models, to optimum linear filters and least-squares filtering and prediction, you get in-depth information on a broad range of critical topics from leading experts in industry and academia. This invaluable reference provides clear examples, problem sets, and computer experiments that help you master the material and learn how to implement various methods presented in the book. You also find a set of MATLAB functions that illustrate the use of various techniques and can be used to solve real-world problems in the field.