Multimode Memory-Based FFT Processor for Wireless Display FD-OCT Medical Systems

Tang, Song-Nien; Jan, Fu-Chiang; Cheng, Hui-Wen; Lin, Ching-Kai; Wu, Guoxing

doi:10.1109/tcsi.2014.2327315

Cited by 22 publications

(6 citation statements)

References 43 publications

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“…This memory-based structure is suitable for flexible FFT operations, which provide various FFT streams or operation points (i.e., FFT length) [10][11][12]. However, this approach is not appropriate for high-throughput or low-latency FFT operations when the operability of PEs or memory bandwidths is limited [13][14][15]. By using flexible FFT computation (length or streams), numerous memory-based FFT designs have been presented for MIMO-OFDM applications [15][16][17].…”

Section: Related Work For Mimo-ofdm Fftmentioning

confidence: 99%

Area-Efficient FFT Kernel with Improved Use of GI for Multistandard MIMO-OFDM Applications

Tang

Chen

2019

Applied Sciences

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This study presents a fast Fourier transform (FFT) kernel for multistandard applications, which employ multiple-input, multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM). The proposed design uses a mixed-radix, mixed-multipath delay-feedback (MRM2DF) structure, which enables 4/5/6-stream 64/128-point FFT. This approach allows the effective usage of guard intervals (GI) in conjunction with a novel resource-sharing scheme to improve area efficiency. An area-reduced constant multiplication unit and sorting buffer with minimal memory size further reduced an area overhead. A test chip was designed using UMC 90-nm technology, and was evaluated through post-layout simulation. The proposed design outperformed previous works in terms of the throughput per area.

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Section: Related Work For Mimo-ofdm Fftmentioning

confidence: 99%

Area-Efficient FFT Kernel with Improved Use of GI for Multistandard MIMO-OFDM Applications

Tang

Chen

2019

Applied Sciences

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“…The cyclic prefix (CP) is inserted and the signal is transmitted through additive Gaussian noise (AWGN) channel. The received signal r n in the presence of frequency offset and AWGN, is expressed as r n 5x n expðj2pnE=NÞ1w 1 (2) where E is the normalized frequency offset which is given by NDf =B, where Df is the difference between transmitter and receiver carrier frequencies, 13 B is the total system bandwidth and w 1 represents AWGN of zero mean. At the receiver, FFT of p th subcarrier is…”

Section: Ofdm System Modelmentioning

confidence: 99%

“…The key issues are how to transfer the medical data over wireless channels and preserving the quality of medical images for better treatment. 2,3 The effect of multipath propagation in wireless communication degrades the image quality particularly for the patients at remote location. In brain tumor detection, a CT image can accurately outline the skeletal structure of the brain and the MRI focuses on the complete image of the soft tissues in the brain.…”

Section: Introductionmentioning

confidence: 99%

Enhanced brain image retrieval using carrier frequency offset compensated orthogonal frequency division multiplexing for telemedicine applications

Chitra¹,

Kumaratharan²,

Ramesh³

2018

Int J Imaging Syst Tech

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Wireless technology plays a vital role in the Electronic health (e‐health) applications such as telemedicine and remote patient monitoring. One of the major challenges of telemedicine applications is ensuring adequate quality of service and realizing precise diagnosis. Telemedicine employs image fusion to enhance the quality of medical image for better diagnosis. However, the transmission of medical image needs high data rate and bandwidth. Due to the robustness to multipath fading, high data rate transmission capability, high flexibility, high bandwidth efficiency, and easy implementation using fast Fourier transform, an orthogonal frequency division multiplexing (OFDM) is the suitable technique for medical image transmission in telemedicine applications This paper is focused on improving the quality of the fused brain image transmission over OFDM based telemedicine service using comb type pilot based carrier frequency offset compensation. The simulation results show that the proposed method offers better performance in terms of mean squared error, Euclidean distance, peak signal to noise ratio, bit error rate, carrier to interference ratio, and computational complexity.

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“…Serial to parallel converter is adequately the reversal procedure of parallel to serial format. The data appears successively from the input port SERIN . The parallel data is taken as output from DOUT port .…”

Section: Serial To Parallel Convertermentioning

confidence: 99%

“…The data appears successively from the input port SERIN. 11 The parallel data is taken as output from DOUT port. 12 When parity error is identified, the serial to parallel circuit would be reset in advance of ordinary operation can be functioned.…”

Section: Serial To Parallel Convertermentioning

confidence: 99%

An area‐efficient FFT processor for the OFDMA transceiver communication system

Nirmala

Sumathi²

2018

Concurrency and Computation

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Summary Orthogonal frequency division multiplexing (OFDM) is a well‐organized multiplexing scheme, which is long‐established in recent wireless and communication standards. OFDM resembles a system of exchanging information done with a nonflat channel called Discrete Multi‐Tone modulation (DMT) and Coded OFDM (COFDM). The data stream in this frequency modulation is divided across narrowband channels to limit interference and crosstalk. One of the extreme needs of OFDM is reasonable to be straight mean while sending and receiving systems. OFDM is extremely preferred for rapid data transmission and radio access method. In this paper, OFDM transceiver is carried out and implemented on FPGA. In addition, 128‐point IFFT/FFT pipelined architecture is proposed with the aim of optimizing area, frequency, and circuit complexity.

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Multimode Memory-Based FFT Processor for Wireless Display FD-OCT Medical Systems

Cited by 22 publications

References 43 publications

Area-Efficient FFT Kernel with Improved Use of GI for Multistandard MIMO-OFDM Applications

Area-Efficient FFT Kernel with Improved Use of GI for Multistandard MIMO-OFDM Applications

Enhanced brain image retrieval using carrier frequency offset compensated orthogonal frequency division multiplexing for telemedicine applications

An area‐efficient FFT processor for the OFDMA transceiver communication system

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