Low-cost Parameter for Noise Reduction in Slat Design

Author(s):  
Masahiro KANAZAKI ◽  
Hotaka KOBAYASHI ◽  
Mitsuhiro MURAYAMA ◽  
Yasushi ITO ◽  
Kazuomi YAMAMOTO
2016 ◽  
Vol 5 (2) ◽  
pp. 17-28
Author(s):  
Ravim ◽  
Suma K. V.

Designing a real-time BCI device requires an Electroencephalogram (EEG) acquisition system and a signal processing system to process that acquired data. EEG acquisition boards available in market are expensive and they are required to be connected to computer for any processing work. Various low cost Digital Signal Processor (DSP) boards available in market come with internal Analog to Digital converters and peripheral interfaces. The idea is to design a low cost EEG amplifier board that can be used with these commercially available DSP boards. The analog data from EEG amplifier can be converted to digital data by DSP board and sent to computer via an interface for algorithm development and further control operations. EEG amplifiers are highly affected by noise from environment. Proper noise reduction techniques are implemented and simulated in circuit design. Each filter stage and noise reduction circuit is evaluated for a low noise design.


2004 ◽  
Vol 84 (3) ◽  
pp. 453-466 ◽  
Author(s):  
Livio Tenze ◽  
Sergio Carrato ◽  
Stefano Olivieri

2014 ◽  
Vol 931-932 ◽  
pp. 1407-1411 ◽  
Author(s):  
Pichet Wayalun ◽  
Saiyan Saiyod ◽  
Nittaya Chamadol

The Cholangiocarcinoma (CCA) is a serious public health problem. The Periductal fibrosis (PDF) ultrasound images are applied for CCA surveillance because it is no side effect of radiation with patients, easy to portability and low cost. In contrast, the common problem of ultrasound images are speckle noise in which decreases the PDF detection performance. In this paper proposes a hybrid noise reduction method in the PDF detection system. The proposed noise reduction method by applying the Median filter and Fast Fourier transform based on PDF ultrasound images. The experimental results give the best performance for PDF detection system. A success rate of proposed method achieved at 70.89%.


Author(s):  
Dr. Anita Pati

Abstract: Now a days there are many people affected by hearing loss that make them disabled as they cannot communicate properly .The main complaint of people with hearing loss is low ability to deduce speech in a noisy environment. Hearing aid is a delicate instrument, which can acquire, process and feedback realistic signal in real time. In this matter various apparent opposition matching algorithm, various filtering methods, digital signal processing algorithm and echo cancellation are developed and implemented. The purpose of this object is to develop the digital signal processing based platform for digital hearing aid technique, which is for the people with hearing impairment using the low cost fuzzy orange pi model. To Perform this Application fuzzy algorithm is used which is quite easy to implement and required less operative computation. The algorithms are performed using MATLAB language which gives the best clarity and simulated functionality over MATLAB. Keywords: Speech Recognition, Noise Reduction, SNR, Fuzzy Masking Technique


2007 ◽  
Vol 6 (3) ◽  
pp. 243-285 ◽  
Author(s):  
Michael L. Shur ◽  
Philippe R. Spalart ◽  
Michael Kh. Strelets ◽  
Andrey V. Garbaruk

The paper outlines the latest improvements to a CFD/CAA numerical system developed by the authors starting in 2001, and presents its application to the evaluation of three noise-reduction concepts. The improvements include a two-step RANS-LES approach to represent complex nozzles much more faithfully, and an accurate algorithm for shock capturing in LES, now based on local automatic activation of flux-limiters. The noise-reduction concepts considered are: beveled nozzles, dual nozzles with fan-flow deflection, and chevron nozzles. The simulations are carried out on PC clusters with at most six processors and on rather modest grids (2–4 million nodes). Nonetheless, in most cases the system is close to the 2–3 dB target accuracy both in terms of directivity and spectrum, while limited in terms of frequency (to a diameter Strouhal number that ranges from 2 to 4, depending on the grid used and the flow regime). Although this limitation is significant, especially for chevron nozzles, the overall message of the paper is that the available CFD/CAA numerical and physical models, properly combined, are capable of predicting the noise of rather complex jets with affordable computational resources, and already today can be helpful in the rapid low-cost analysis of noise-reduction concepts.


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