The Regularized Fast Hartley Transform Low Complexity Parallel Computation of the FHT in One and Multiple Dimensions 2nd Edition Keith John Jones – Ebook PDF Instant Download/Delivery ISBN(s): 9783030682453, 3030682455
Product details:
- ISBN 10: 3030682455
- ISBN 13: 9783030682453
- Author: Keith John Jones
This book describes how a key signal/image processing algorithm – that of the fast Hartley transform (FHT) or, via a simple conversion routine between their outputs, of the real‑data version of the ubiquitous fast Fourier transform (FFT) – might best be formulated to facilitate computationally-efficient solutions. The author discusses this for both 1-D (such as required, for example, for the spectrum analysis of audio signals) and m‑D (such as required, for example, for the compression of noisy 2-D images or the watermarking of 3-D video signals) cases, but requiring few computing resources (i.e. low arithmetic/memory/power requirements, etc.). This is particularly relevant for those application areas, such as mobile communications, where the available silicon resources (as well as the battery-life) are expected to be limited. The aim of this monograph, where silicon‑based computing technology and a resource‑constrained environment is assumed and the data is real-valued in nature, hasthus been to seek solutions that best match the actual problem needing to be solved.
Table contents:
Part I. The Discrete Fourier and Hartley Transforms
1. Background to Research
2. The Real-Data Discrete Fourier Transform
3. The Discrete Hartley Transform
Part II. The Regularized Fast Hartley Transform
4. Derivation of Regularized Formulation of Fast Hartley Transform
5. Design Strategy for Silicon-Based Implementation of Regularized Fast Hartley Transform
6. Architecture for Silicon-Based Implementation of Regularized Fast Hartley Transform
7. Design of CORDIC-Based Processing Element for Regularized Fast Hartley Transform
Part III. Applications of Regularized Fast Hartley Transform
8. Derivation of Radix-2 Real-Data Fast Fourier Transform Algorithms Using Regularized Fast Hartley Transform
9. Computation of Common DSP-Based Functions Using Regularized Fast Hartley Transform
Part IV. The Multi-dimensional Discrete Hartley Transform
10. Parallel Reordering and Transfer of Data Between Partitioned Memories of Discrete Hartley Transform for 1-D and m-D Cases
11. Architectures for Silicon-Based Implementation of m-D Discrete Hartley Transform Using Regularized Fast Hartley Transform
Part V. Results of Research
12. Summary and Conclusions
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