An Optimized Pipeline Based Blind Source Separation Architecture for FPGA Applications

Ezilarasan, M. R.; Pari, Jyothish

doi:10.37391/ijeer.100336

Cited by 3 publications

(1 citation statement)

References 18 publications

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“…In the 2015 FFT pipeline the Radix-2k algorithm plays a part. The development of radix-2k FFT is part of the one-way retardation feedback (SDF) [17]. In digital signal processing, the DFT is an essential instrument [15].…”

Section: ░ 2 Related Workmentioning

confidence: 99%

CORDIC Processors: A Comparative Perspective of Radix-8, Radix-4, and Radix-2

Rajesh

Parvateesam

Satyanarayana

et al. 2022

IJEER

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Some data streaming applications make use of digital signal processing (DSP). The DSP algorithms include transcendental functions like trigonometry, inverse trigonometry, logarithms, exponentials, and other functions in addition to the basic arithmetic operations of multiplication and division. By modifying a few simple parameters, it is relatively simple to generate a large range of functions, including logarithmic, exponential, and trigonometric ones. Since the CPU needs around n rounds to process n bits of incoming data, the CORDIC radix-2 causes a substantial amount of latency. Therefore, radix-4 (which is radix-4 plus one) and radix-8 (which is radix-8 plus one) may be used to reduce the amount of time needed for the calculation. As a result, the total iterations drop from n/2 to n/4. As simulated and synthesized, it was shown that the radix-8 design had a significantly higher power consumption, with greater throughput than the radix-2 and radix-4 Coordinate Rotational Digital Computer (CORDIC) designs with an additional area overhead. The new algorithm also reduces the amount of twiddle elements to a minimum while also simplifying the address generating process. A novel approach makes integrating FFT processors on single chips much easier. This approach is demonstrated to be notably efficient in procedures such as SVD or matrix triangularization, in which the calculation of the rotation angle is necessary.

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Section: ░ 2 Related Workmentioning

confidence: 99%

CORDIC Processors: A Comparative Perspective of Radix-8, Radix-4, and Radix-2

Rajesh

Parvateesam

Satyanarayana

et al. 2022

IJEER

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High Performance FPGA Implementation of Single MAC Adaptive Filter for Independent Component Analysis

Ezilarasan

pari

Leung

2023

J CIRCUIT SYST COMP

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Blind source separation (BSS) is the process of extracting sources from mixed data without or with limited awareness of the sources. This paper uses field programmable gate array (FPGA) to create an effective version of the Blind source separation algorithm (ICA) with a single Multiply Accumulate (MAC) adaptive filter and to optimize it. Recently, space research has paid a lot of attention to this technique. We address this problem in two sections. The first approach is ICA, which seeks a linear revolution that can enhance the mutual independence of the mixture to distinguish the source signals from mixed signals. The second is a powerful flexible finite impulse response (FIR) filter construction that makes use of a MAC core and is adaptable. The adjustable coefficient filters have been used in the proposed study to determine the undiscovered system utilizing an optimal least mean square (LMS) technique. The filter tap under consideration in this paper includes 32 taps, and hardware description language (HDL) and FPGA devices were used to carry out the analysis and synthesis of it. When compared to the described architecture, the executed filter architecture uses 80% fewer resources and increases clock frequency by nearly five times, and speed is increased up to 32%.

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Implementation of Realtime Image Fusion for Biomedical Applications Using ICA And Discrete Wavelet Transform

Ezilarasan,

Vishnupriya,

Arumugam

et al. 2024

IJEER

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Image fusion is an extensively used technique in various areas like computer visualization, enhanced diagnostic imaging, radio therapy, automatic object recognition, image analysis, and remote sensing. The main aim of image fusion is to combine several input images into one image containing more information than the individual images. This type of image fusion results in a new image that is easier for computers and humans to see, making it possible for additional image processing operations like object detection, segmentation, and feature extraction. This paper examines the potential application of customized wavelet transform for image fusion. This paper is implemented for biomedical applications by using wavelet-based pixel-level image fusion technique and Independent Component Analysis (ICA) for de-noising. For realization of this, Initially, MRI and CT pictures are extracted using the 2D discrete wavelet transform and then ICA is used to obtain ICA bases and fused on the sub band pictures. The suggested methodology is implemented in FPGA Spartan and Virtex devices since FPGA provides a good platform for image processing in real-time and finally the performance has been compared with the existing methodologies.

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An Optimized Pipeline Based Blind Source Separation Architecture for FPGA Applications

Cited by 3 publications

References 18 publications

CORDIC Processors: A Comparative Perspective of Radix-8, Radix-4, and Radix-2

CORDIC Processors: A Comparative Perspective of Radix-8, Radix-4, and Radix-2

High Performance FPGA Implementation of Single MAC Adaptive Filter for Independent Component Analysis

Implementation of Realtime Image Fusion for Biomedical Applications Using ICA And Discrete Wavelet Transform

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