Digital Alias-free Signal Processing (Hardcover)

Ivars Bilinskis

  • 出版商: Wiley
  • 出版日期: 2007-06-01
  • 售價: $1,800
  • 貴賓價: 9.8$1,764
  • 語言: 英文
  • 頁數: 454
  • 裝訂: Hardcover
  • ISBN: 047002738X
  • ISBN-13: 9780470027387
  • 相關分類: Alias
  • 下單後立即進貨 (約5~7天)




As demand for applications working in extended frequency ranges increases, classical Digital signal processing (DSP) techniques, not protected against aliasing, are becoming less effective. Digital alias-free signal processing (DASP) is a technique for overcoming the problems of aliasing at extended frequency ranges. Based on non-uniform or randomised sampling techniques and the development of novel algorithms, it creates the capacity to suppress potential aliasing crucial for high frequency applications and to reduce the complexity of designs.

This book provides practical and comprehensive coverage of the theory and techniques behind alias-free digital signal processing.

Key features:

  • 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. 




- 分析取樣、隨機和偽隨機量化、直接和間接隨機取樣的問題。
- 探討週期性和混合取樣,包括處理算法和信號動態所帶來的潛在限制。
- 提供了複雜度降低設計的領先方法和技術,特別是大孔徑傳感器陣列的設計、來自多個信號源的大數據采集和壓縮,以及非均勻數據的複雜度降低處理。
- 通過工程應用示例展示了這些技術,包括頻譜分析、波形重建和各種參數的估計,強調了該技術對於開發新技術的重要性。