Take the stress out of investing with this revolutionary new strategy from the author of The Neatest Little Guide to Stock Market Investing, now in its fifth edition. In today’s troubling economic times, the quality of our retirement depends upon our own portfolio management. But for most of us, investing can be stressful and confusing, especially when supposedly expert predictions fail. Enter The 3% Signal. Simple and effective, Kelly’s plan can be applied to any type of account, including 401(k)s—and requires only fifteen minutes of strategizing per quarter. No stress. No noise. No confusion. By targeting three percent growth and adjusting holdings to meet that goal, even novice investors can level the financial playing field and ensure a secure retirement free from the stress of noisy advice that doesn't work. The plan's simple technique cuts through the folly of human emotion by reacting intelligently to price changes and automatically buying low and selling high. Relayed in the same easy-to-understand language that has made The Neatest Little Guide to Stock Market Investing such a staple in the investing community, The 3% Signal is sure to become your most trusted guide to investing success.

This comprehensive and engaging textbook introduces the basic principles and techniques of signal processing, from the fundamental ideas of signals and systems theory to real-world applications. Students are introduced to the powerful foundations of modern signal processing, including the basic geometry of Hilbert space, the mathematics of Fourier transforms, and essentials of sampling, interpolation, approximation and compression The authors discuss real-world issues and hurdles to using these tools, and ways of adapting them to overcome problems of finiteness and localization, the limitations of uncertainty, and computational costs. It includes over 160 homework problems and over 220 worked examples, specifically designed to test and expand students' understanding of the fundamentals of signal processing, and is accompanied by extensive online materials designed to aid learning, including Mathematica® resources and interactive demonstrations.

An edge-of-your-seat caper based on one of the most sensational crimes in British history In August 1963, a Royal Mail train traveling between Glasgow and London was forced to make an unscheduled stop. Led by a charismatic jewel thief, a gang of fifteen unarmed men boarded the train, incapacitated the driver, and made off with more than £2 million. Divided equally, it was more than enough money for them to disappear forever—if they could all keep quiet. Incensed by the brazenness of the crime, Scotland Yard investigators employed every means they could think of to get the thieves to turn on one another. Soon, a meticulous plan descended into a desperate free-for-all as the gang went down one by one. This heart-racing novel inspired by the Great Train Robbery asks the most fascinating question of all: Who talked? This ebook includes an afterword by Bruce Reynolds, mastermind of the Great Train Robbery. Signal Red is the 3rd book in the Great British Heroes and Antiheroes Trilogy, which also includes Empire of Sand and Death on the Ice.

DIVExamines the role of media technologies in shaping urban Africa through an ethnographic study of popular culture in northern Nigeria./div

With the inclusion of the two new hot topics in signal integrity, power integrity and high speed serial links, this book will be the most up to date complete guide to understanding and designing for signal integrity.

Digital Signal Processing, Second Edition enables electrical engineers and technicians in the fields of biomedical, computer, and electronics engineering to master the essential fundamentals of DSP principles and practice. Many instructive worked examples are used to illustrate the material, and the use of mathematics is minimized for easier grasp of concepts. As such, this title is also useful to undergraduates in electrical engineering, and as a reference for science students and practicing engineers. The book goes beyond DSP theory, to show implementation of algorithms in hardware and software. Additional topics covered include adaptive filtering with noise reduction and echo cancellations, speech compression, signal sampling, digital filter realizations, filter design, multimedia applications, over-sampling, etc. More advanced topics are also covered, such as adaptive filters, speech compression such as PCM, u-law, ADPCM, and multi-rate DSP and over-sampling ADC. New to this edition: - MATLAB projects dealing with practical applications added throughout the book - New chapter (chapter 13) covering sub-band coding and wavelet transforms, methods that have become popular in the DSP field - New applications included in many chapters, including applications of DFT to seismic signals, electrocardiography data, and vibration signals - All real-time C programs revised for the TMS320C6713 DSK - Covers DSP principles with emphasis on communications and control applications - Chapter objectives, worked examples, and end-of-chapter exercises aid the reader in grasping key concepts and solving related problems - Website with MATLAB programs for simulation and C programs for real-time DSP

This book is intended to serve as an invaluable reference for anyone concerned with the application of wavelets to signal processing. It has evolved from material used to teach "wavelet signal processing" courses in electrical engineering departments at Massachusetts Institute of Technology and Tel Aviv University, as well as applied mathematics departments at the Courant Institute of New York University and ÉcolePolytechnique in Paris. - Provides a broad perspective on the principles and applications of transient signal processing with wavelets - Emphasizes intuitive understanding, while providing the mathematical foundations and description of fast algorithms - Numerous examples of real applications to noise removal, deconvolution, audio and image compression, singularity and edge detection, multifractal analysis, and time-varying frequency measurements - Algorithms and numerical examples are implemented in Wavelab, which is a Matlab toolbox freely available over the Internet - Content is accessible on several level of complexity, depending on the individual reader's needs New to the Second Edition - Optical flow calculation and video compression algorithms - Image models with bounded variation functions - Bayes and Minimax theories for signal estimation - 200 pages rewritten and most illustrations redrawn - More problems and topics for a graduate course in wavelet signal processing, in engineering and applied mathematics