Design of Pipelined FFT Processor Based on FPGA

Wang, Bingrui; Zhang, Qihui; Ao, Tianyong; Huang, Mei

doi:10.1109/iccms.2010.112

Cited by 21 publications

(10 citation statements)

References 8 publications

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“…This design utilizes the existing implemented communication protocol with further providing the API on both software and hardware ends [9]. The software API provides an object oriented interface to software programmers to call routines on C/C++ or MATLAB objects.…”

Section: Proposed Design and Conceptmentioning

confidence: 99%

See 1 more Smart Citation

FPGA Accelerated Computing Platform for MATLAB and C/C++

Rasul¹,

Mutaal²,

Saqib³

et al. 2013

2013 11th International Conference on Frontiers of Information Technology

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With latest advancements in architecture, reprogrammability and availability of abundant on-chip resources, FPGAs (Field Programmable Gate Array) are used as hardware accelerators to speedup computationally intensive tasks with inherent parallelism. However non-availability of standard MATLAB and C/C++ computation routines and communication interface for general purpose programming restricted researchers and developers from easily utilizing the parallel computational ability of FPGAs in MATLAB and C/C++. In this article we propose a proof of concept implementation for software-hardware co-design that can be used with MATLAB and C/C++ to share the burden of intensified computing with the FPGA.Typical applications which can be divided into multiple tasks to be executed in parallel can be easily transferred to FPGA by utilizing the proposed method. Some of the applications which can efficiently use this concept are image processing, video processing, data encryption and data compression. Results obtained by using our method and routines implemented in software and hardware provide 50% to 100% computational acceleration, as compared to routines running in software on MATLAB running on a computer. The design and concept can aid developers to use FPGAs in combination with higher level computational languages such as MATLAB and C/C++.

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Section: Proposed Design and Conceptmentioning

confidence: 99%

“…The create class object function creates a new ETH SIRC [9] class object and returns the pointer to MATLAB to access the class member functions. The destroy class object provides the functionality to destroy the class object in the memory.…”

Section: A Matlab Based Software Apimentioning

confidence: 99%

FPGA Accelerated Computing Platform for MATLAB and C/C++

Rasul¹,

Mutaal²,

Saqib³

et al. 2013

2013 11th International Conference on Frontiers of Information Technology

View full text Add to dashboard Cite

show abstract

“…However, in practice a complex multiplication reduction approach leads to a significant reduction of complex multiplications at the cost of far less expensive additions. Indeed, adders require less hardware in FPGA platform and consume much less power than multipliers for the same word-length [13]. Moreover, they have fewer glitches.…”

Section: A Architectural Descriptionmentioning

confidence: 99%

“…It is the prominent factor that has an effect on the chip area, power consumption, and the throughput of an FFT/IFFT processor intended for an FPGA implementation [11], [13]. Therefore, with a large number of complex multiplications, direct computation will requires a large chip area and high power consumption.…”

Section: B Multiplicative Comparisonmentioning

confidence: 99%

A Low Multiplicative Complexity of Proposed FFT/IFFTs Design Applied for OFDM-Based Wireless Communication Systems

Arioua¹,

Hassani²

2014

JACN

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“…In mathematics, the discrete Fourier transform (DFT) is a specific kind of discrete transform, used in Fourier analysis. It transforms one function into another, which is called the frequency domain representation, or simply the DFT, of the original function (which is often a function in the time domain) [7][8][9][10][11][12]. But the DFT requires an input function that is discrete and whose non-zero values have a limited (finite) duration.…”

Section: Ofdm and Fft Basicsmentioning

confidence: 99%

Implementation of OFDM Based Communication System using Novel FFT Processor Architecture

K¹,

Sekhar²

2014

International Journal of Advanced Research in Computer and Comm

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Integrated circuits to support digital communication standards are commonly based on a Fast Fourier Transform (FFT) of some length. Flexible length makes the design more usable for configurable algorithm-specific circuits. The proposed project discusses the functional aspects of a FFT design. As the transform length increases the amount of arithmetic involved becomes excessive. This makes Fast Fourier Transform (FFT) to one of today's most important tools in digital signal processing, as it enables the efficient transformation between time and frequency domain. Over the last decade, researches have been done on how to transmit the data using OFDM transmission over selective channels. The proposed project will show how the FFT is better adapted to the requirements in the application of OFDM at the frequency of 160 MHz. The simulation results show the output of each butterfly by enabling cosimulation of the butterfly outputs using VHDL. The simulation results also show the transmission of data through OFDM technique using FFT implementation. The Synthesizing and implementation (i.e. Translate, Map and Place and Route) of the code is carried out on Xilinx -Project Navigator, ISE 8.2i suite. By this project we have to show the lossless transmission of information. Keywords: OFDM, FFT, VHDL I. INTRODUCTIONThe main challenging areas in VLSI are performance, speed, cost, and power dissipation [1]. The demand for portable computing devices and communications system are increasing rapidly. These applications require high frequency modules in VLSI circuits. Hence it is important aspect to optimize the frequency during processing. That's why frequency optimization is one of the main challenges. FFT algorithms are so commonly employed to compute DFTs that the term "FFT" is often used to mean "DFT" in colloquial settings. Formally, there is a clear distinction: "DFT" refers to a mathematical transformation or function, regardless of how it is computed, whereas "FFT" refers to a specific family of algorithms for computing DFTs [2][3][4]. The OFDM technique is easier to understand and implement, and the sub-channels can be independently adapting in other ways than varying equalization coefficients, such as switching between different QAM constellation patterns and error-correction schemes to match individual sub-channel noise and interference characteristics. Some of the sub-carriers in some of the OFDM symbols may carry pilot signals for measurement of the channel conditions. Pilot signals and training symbols may also be used for time synchronization and frequency synchronization. OFDM was initially used for wire, and stationary wireless communications. However with increasing number of applications operating in highly mobile environment, the possibility of using OFDM for such purpose is also investigated. Over the last decade, several researches have been done on how to equalize OFDM transmission over doubly selective channels. The proposed project will show how the FFT is better adapted to the requirements in the...

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Design of Pipelined FFT Processor Based on FPGA

Cited by 21 publications

References 8 publications

FPGA Accelerated Computing Platform for MATLAB and C/C++

FPGA Accelerated Computing Platform for MATLAB and C/C++

A Low Multiplicative Complexity of Proposed FFT/IFFTs Design Applied for OFDM-Based Wireless Communication Systems

Implementation of OFDM Based Communication System using Novel FFT Processor Architecture

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