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Y. Savaria

Bio: Y. Savaria is an academic researcher. The author has contributed to research in topics: Split-radix FFT algorithm & Twiddle factor. The author has an hindex of 1, co-authored 1 publications receiving 6 citations.

Papers
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Proceedings ArticleDOI
25 May 2003
TL;DR: This paper presents a new method to minimize memory references due to twiddle factors for implementing any existing fast Fourier transform (FFT) algorithms on DSP processors and applies it to implement radix-2 DIT FFT algorithm on TI TMS320C64x DSP.
Abstract: Memory reference in digital signal processors (DSP) is among the most costly operations due to its long latency and substantial power consumption. In this paper, we present a new method to minimize memory references due to twiddle factors for implementing any existing fast Fourier transform (FFT) algorithms on DSP processors. The new method takes advantage of previously proposed twiddle factor reduction method (TFRM) and twiddle-factor-based butterfly grouping method (TFBBGM). It can compute two butterflies in one stage of any FFT diagram by loading only one twiddle-factor. Further memory reference reduction is done by computing butterflies with the same twiddle factor at the same time in different stages of the FFT diagram. We have applied the new method to implement radix-2 DIT FFT algorithm on TI TMS320C64x DSP. While using only 50% memory space for storing twiddle factors compared to the conventional DIT FFT implementation, the new method achieves an average reduction in the number of memory references by 79% for accessing the twiddle factors, and 17.5% reduction in the number of clock cycles.

6 citations


Cited by
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Proceedings ArticleDOI
23 May 2004
TL;DR: These modified radix-4 andRadix-8 algorithms provide savings of more than 33% and 42% respectively in the number of twiddle factor evaluations or accesses to the lookup table compared to the corresponding conventional FFT algorithms without imposing any additional complexity.
Abstract: In this paper, improved algorithms for radix-4 and radix-8 FFT are presented. This is achieved by re-indexing a subset of the output samples resulting from the conventional decompositions in the radix-4 and radix-8 FFT algorithms. These modified radix-4 and radix-8 algorithms provide savings of more than 33% and 42% respectively in the number of twiddle factor evaluations or accesses to the lookup table compared to the corresponding conventional FFT algorithms without imposing any additional complexity.

28 citations

Proceedings ArticleDOI
02 May 2004
TL;DR: An improved radix-16 decimation-in-frequency (DIF) FFT algorithm is proposed by introducing new indices for some of the output sub-sequences resulting from the conventional radix -16 DIF decomposition of the DFT.
Abstract: An improved radix-16 decimation-in-frequency (DIF) FFT algorithm is proposed by introducing new indices for some of the output sub-sequences resulting from the conventional radix-16 DIF decomposition of the DFT. This improved radix-16 DIF FFT algorithm achieves savings of more than 46% in the number of twiddle factor evaluations or accesses to the lookup table and address generations compared to the conventional radix-16 DIF FFT algorithm. These savings are achieved without imposing any additional computational or structural complexity in the algorithm.

9 citations

Dissertation
12 Nov 2009
TL;DR: This chapter discusses icons, symbols, and definitions as well as their applications in science and literature.
Abstract: i ACKNOWLEDGEMENTS iii SYMBOLS AND DEFINITIONS v LIST OF TABLES vii TABLE OF FIGURES ix TABLE OF CONTENTS xi CHAPTER 1.............................................................................................................................

3 citations

Proceedings ArticleDOI
01 Aug 2006
TL;DR: It is shown that in a two-stage acquisition scheme, where the FFT is only used to obtain an estimate of the frequency offset, approximate FFTs achieve almost the same performance as a conventional FFT.
Abstract: This paper deals with code acquisition in communication systems with large frequency offsets. In such a situation, the receiver has to perform a 2-dimensional search in a time-frequency plane to detect a known signal. In previous publications it has been proposed to use a fast Fourier transform (FFT) to implement the search in frequency direction [1], [2], [3]. We would here like to examine the effect of using approximate FFTs. For this puropose, we restrict the angles of the complex multiplications that are used in the FFT to four or eight states. This helps to reduce the total number of real multiplications. Further, there is no need to store trigonometric values. The drawback is that the approximations lead to a degradation at the FFT output. We will show, however, that in a two-stage acquisition scheme, where the FFT is only used to obtain an estimate of the frequency offset, approximate FFTs achieve almost the same performance as a conventional FFT.

2 citations

Proceedings ArticleDOI
C.P. Gupta1, Thao Bui1, Andre Kaufmann1, M. Kosakowski1, Ernst Zielinski1 
15 Oct 2007
TL;DR: A method to reduce the latency in such OFDM based systems by effectively combining the interleaving and a part of lFFT is proposed.
Abstract: Increasing interest in mobile communication systems with high data rates and low complexity, demands heavily for an extensive research on communication techniques and their optimal implementation. The Orthogonal Frequency Division Multiplexing (OFDM) scheme has been quite extensively used in many communication standards. A hardware implementation of an OFDM based system faces more challenges with respect to the latency in the digital signal processing chain especially when used in the vehicular environment. A reduction in the latency thus becomes quite useful since the signal processing time should be as less as possible due to a quite restricted time for communication setup in the vehicular area, e.g. IEEE 802.11a/g, IEEE802.11p. The paper proposes a method to reduce the latency in such OFDM based systems by effectively combining the interleaving and a part of lFFT.

1 citations