Introduction to Statistical Signal Processing (R.M. Gray and L.D. Davisson)
Introduction to Statistical Signal Processing (R.M. Gray and L.D. Davisson)
Modern Signal Processing (Edited by D.N. Rockmore, et al)
Modern Signal Processing (Edited by D.N. Rockmore, et al)
Digital Filters An Introduction
Digital Filters An Introduction
Mixed Signal and DSP Design Techniques
Mixed Signal and DSP Design Techniques
Introduction to DSP (Digital Signal Processing)
Introduction to DSP (Digital Signal Processing)
An Introduction to Signal Processing (T. OHaver)
An Introduction to Signal Processing (T. OHaver)
Wavelets and Signal Processing
Wavelets and Signal Processing
Signal Processing Tutorials
Signal Processing Tutorials
Digital Signal Processing: A Practical Approach
Modern coverage of the fundamentals, implementation and applications of digital signal processing techniques from a practical point of view. The past ten years has seen a significant growth in DSP applications throughout all areas of technology and this growth is expected well into the next millennium. This successful textbook covers most aspects of DSP found in undergraduate electrical, electronic or communications engineering courses. Unlike many other texts, it also covers a number of DSP techniques which are of particular relevance to industry such as adaptive filtering and multirate processing. The emphasis throughout the book is on the practical aspects of DSP.
Advanced Digital Signal Processing and Noise Reduction, Fourth Edition
Digital signal processing plays a central role in the development of modern communication and information processing systems. The theory and application of signal processing is concerned with the identification, modelling and utilisation of patterns and structures in a signal process. The observation signals are often distorted, incomplete and noisy and therefore noise reduction, the removal of channel distortion, and replacement of lost samples are important parts of a signal processing system.
The fourth edition of Advanced Digital Signal Processing and Noise Reduction updates and extends the chapters in the previous edition and includes two new chapters on MIMO systems, Correlation and Eigen analysis and independent component analysis. The wide range of topics covered in this book include Wiener filters, echo cancellation, channel equalisation, spectral estimation, detection and removal of impulsive and transient noise, interpolation of missing data segments, speech enhancement and noise/interference in mobile communication environments. This book provides a coherent and structured presentation of the theory and applications of statistical signal processing and noise reduction methods.
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The Scientist and Engineers Guide to Digital Signal Processing (DSP), by Steven W. Smith
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