This book provides practical and comprehensive coverage of the theory and techniques behind alias-free digital signal processing.
- Analyses issues of sampling, randomised and pseudo-randomised quantisation and direct and indirectly randomised sampling.
- Examines periodic and hybrid sampling, including information on processing algorithms and potential limitations imposed by signal dynamics.
- Sets out leading methods and techniques for complexity reduced designs, in particular designs of large aperture sensor arrays, massive data acquisition and compression from a number of signal sources and complexity-reduced processing of non-uniform data.
- Presents examples of engineering applications using these techniques including spectrum analysis, waveform reconstruction and the estimation of various parameters, emphasising the importance of the technique for developing new technologies.
- Links DASP and traditional technologies by mapping them into embedded systems with standard inputs and outputs.
Digital Alias-free Signal Processing is ideal for practising engineers and researchers working on the development of digital signal processing applications at extended frequencies. It is also a valuable reference for electrical and computer engineering graduates taking courses in signal processing or digital signal processing.