scholarly journals Signal-to-noise Ratio Study on Pipelined Fast Fourier Transform Processor

2018 ◽  
Vol 7 (2) ◽  
pp. 230-235
Author(s):  
S. L. M. Hassan ◽  
N. Sulaiman ◽  
S. S. Shariffudin ◽  
T. N. T. Yaakub
Keyword(s):  
Fourier Transform ◽  
Fast Fourier Transform ◽  
Signal To Noise Ratio ◽  
Data Communication ◽  
Digital Signal ◽  
Signal To Noise ◽  
Digital Video Broadcasting ◽  
Video Broadcasting ◽  
Fft Processor ◽  
Noise Ratio

Fast Fourier transform (FFT) processor is a prevailing tool in converting signal in time domain to frequency domain. This paper provides signal-to-noise ratio (SNR) study on 16-point pipelined FFT processor implemented on field-programable gate array (FPGA). This processor can be used in vast digital signal applications such as wireless sensor network, digital video broadcasting and many more. These applications require accuracy in their data communication part, that is why SNR is an important analysis. SNR is a measure of signal strength relative to noise. The measurement is usually in decibles (dB). Previously, SNR studies have been carried out in software simulation, for example in Matlab. However, in this paper, pipelined FFT and SNR modules are developed in hardware form. SNR module is designed in Modelsim using Verilog code before implemented on FPGA board. The SNR module is connected directly to the output of the pipelined FFT module. Three different pipelined FFT with different architectures were studied. The result shows that SNR for radix-8 and R4SDC FFT architecture design are above 40dB, which represent a very excellent signal. SNR module on the FPGA and the SNR results of different pipelined FFT architecture can be consider as the novelty of this paper.

scholarly journals Audio Denoising Based on Short Time Fourier Transform

2018 ◽  
Vol 9 (1) ◽  
pp. 89
Author(s):  
J. S. Ashwin ◽  
N. Manoharan
Keyword(s):  
Fourier Transform ◽  
Communication Channel ◽  
Signal To Noise Ratio ◽  
Digital Signal ◽  
Short Time Fourier Transform ◽  
Signal To Noise ◽  
Novel Approach ◽  
Noise Ratio ◽  
Original Speech ◽  
Short Time

<p>This paper presents a novel audio de-noising scheme in a given speech signal. The recovery of original from the communication channel without any noise is a difficult task. Many de-noising techniques have been proposed for the removal of noises from a digital signal. In this paper, an audio de-noising technique based on Short Time Fourier Transform (STFT) is implemented. The proposed architecture uses a novel approach to estimate environmental noise from speech adaptively. Here original speech signals are given as input signal. Using AWGN, noises are added to the signal. Then noised signals are de-noised using STFT techniques. Finally Signal to Noise Ratio (SNR), Peak Signal to Noise Ratio (PSNR) values for noised and de-noised signals are obtained.</p>

scholarly journals Metode High-Pass Filter Dan Fast Fourier Transform Untuk Perbaikan Citra Telapak Tangan

Techno Com ◽  
2021 ◽  
Vol 20 (4) ◽  
pp. 601-612
Author(s):  
Mhd Furqan ◽  
- Sriani ◽  
Muhammad Akbar Ramadhan Tanjung
Keyword(s):  
Fourier Transform ◽  
Fast Fourier Transform ◽  
Mean Square Error ◽  
Signal To Noise Ratio ◽  
Mean Square ◽  
Signal To Noise ◽  
Pass Filter ◽  
High Pass Filter ◽  
Noise Ratio ◽  
High Pass

Telapak tangan sering digunakan sebagai sumber penelitian dibidang sistem biometrik karena mempunyai karakteristik seperti sidik jari. Selain itu, telapak tangan juga mudah didapatkan dan dapat diperoleh dari citra yang memiliki resolusi rendah. Namun, selain itu juga sebuah citra telapak tangan akan dapat mengalami penurunan terhadap kualitasnya. Untuk itu dilakukanlah sebuah tahap yang dikenal dengan perbaikan kualitas citra, dimana bidang ini merupakan tahap awal dari pengolahan citra digital. Dalam penelitian ini penggunaan metode dalam perbaikan citra difokuskan untuk menajamkan citra telapak tangan dengan menggunakan high pass filter dan filter fast fourier transform, dimana sebelumnya citra tersebut telah diolah dengan menggunakan histogram ekualisasi untuk meningkatkan kontras citra telapak tangan. Setelah dilakukan pengujian terhadap 30 sampel citra. Dengan menilai error pada MSE (Mean Square Error) dan PSNR (Peak Signal to Noise Ratio) dari citra hasil rekonstruksi, hasil pengujian menunjukkan bahwa penggunaan high pass filter dengan koefisien=1 menghasilkan citra yang lebih baik dimana nilai rata-rata MSE=7,064544(dB) dan PSNR=40,01314(dB) daripada menggunakan high-pass filter dengan koefisien=0. Sedangkan pada fast fourier transform dengan menggunakan Ideal High-Pass Filter (IHPF) mampu menghasilkan citra rekonstruksi yang lebih baik dengan rerata MSE=9,354056(dB) dan PSNR=38,537046(dB) dari pada menggunakan butterworth high-pass filter (BHPF) dan gaussian high-pass filter (GHPF)

scholarly journals A New Multichannel Fourier Transform Spectrometer

1999 ◽  
Vol 170 ◽  
pp. 36-40
Author(s):  
Tyler E. Nordgren ◽  
Arsen R. Hajian
Keyword(s):  
Fourier Transform ◽  
Extrasolar Planets ◽  
Signal To Noise Ratio ◽  
Fourier Transform Spectrometer ◽  
Test Bed ◽  
Signal To Noise ◽  
Stellar Spectra ◽  
Band Emission ◽  
Noise Ratio ◽  
Ratio Scales

AbstractStellar spectra have been obtained using a multichannel Fourier Transform Spectrometer (FTS) which incorporates components of the Navy Prototype Optical Interferometer. It is well known that a FTS can provide superior wavelength stability as compared to traditional spectrometers. Unfortunately the FTS traditionally suffers from exceptionally poor sensitivity, which until now has limited its uses to sources with high fluxes and/or those with narrow band emission (e.g. the Sun, nebulae, and laboratory samples). We present stellar observations using a new FTS design which overcomes this sensitivity limitation by using a conventional multichannel spectrometer in conjunction with the FTS system. The signal-to-noise ratio of spectra from our test-bed observations are consistent with the theoretical prediction and show that for N channels the sensitivity scales like N, while the signal-to-noise ratio scales like . With this type of an instrument on a 3-m telescope and 9 000 channels we expect to be able to detect and measure such exciting astrophysical phenomenon as gravitational redshifts from single, main sequence stars and extrasolar planets of terrestrial mass.

scholarly journals Signal-to-Noise Ratio and Astronomical Fourier Transform Spectroscopy

1988 ◽  
Vol 132 ◽  
pp. 71-78
Author(s):  
J. P. Maillard
Keyword(s):  
Fourier Transform ◽  
Signal To Noise Ratio ◽  
Resolving Power ◽  
High Resolution Spectroscopy ◽  
Signal To Noise ◽  
Array Detectors ◽  
Noise Ratio ◽  
The Fourier Transform ◽  
Large Telescopes ◽  
Very High

The multiplex properties of the Fourier Transform Spectrometer (FTS) can be considered as disadvantageous with modern detectors and large telescopes, the dominant noise source being no longer in most applications the detector noise. Nevertheless, a FTS offers a gain in information and other instrumental features remain: flexibility in choosing resolving power up to very high values, large throughput, essential in high–resolution spectroscopy with large telescopes, metrologic accuracy, automatic substraction of parasitic background. The signal–to–noise ratio in spectra can also be improved: by limiting the bandwidth with cold filters or even cold dispersers, by matching the instrument to low background foreoptics and high–image quality telescopes. The association with array detectors provides the solution for the FTS to regain its full multiplex advantage.

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