scholarly journals Improved Method of Blind Speech Separation with Low Computational Complexity

2011 ◽  
Vol 2011 ◽  
pp. 1-10 ◽  
Author(s):  
Kazunobu Kondo ◽  
Yu Takahashi ◽  
Seiichi Hashimoto ◽  
Hiroshi Saruwatari ◽  
Takanori Nishino ◽  
...  
Keyword(s):  
Computational Complexity ◽  
Selection Criteria ◽  
Signal To Noise Ratio ◽  
Band Selection ◽  
Power Ratio ◽  
Speech Separation ◽  
Improved Method ◽  
Signal To Noise ◽  
Low Computational Complexity ◽  
Improved Performance

A blind speech separation method with low computational complexity is proposed. This method consists of a combination of independent component analysis with frequency band selection, and a frame-wise spectral soft mask method based on an interchannel power ratio of tentative separated signals in the frequency domain. The soft mask cancels the transfer function between sources and separated signals. A theoretical analysis of selection criteria and the soft mask is given. Performance and effectiveness are evaluated via source separation simulations and a computational estimate, and experimental results show the significantly improved performance of the proposed method. The segmental signal-to-noise ratio achieves 7 [dB] and 3 [dB], and the cepstral distortion achieves 1 [dB] and 2.5 [dB], in anechoic and reverberant conditions, respectively. Moreover, computational complexity is reduced by more than 80% compared with unmodified FDICA.

Design and Simulation of OFDM System Based on Matlab

2014 ◽  
Vol 635-637 ◽  
pp. 1081-1085
Author(s):  
Xin Xin Sha ◽  
Jian Zhou ◽  
Yuan Xue Song
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Channel Coding ◽  
Signal To Noise Ratio ◽  
Average Power ◽  
System Structure ◽  
Power Ratio ◽  
Basic System ◽  
Ofdm System ◽  
Signal To Noise

OFDM is a key modulation and multiplexing technique. The basic system structure of OFDM is introduced firstly. This paper chose appropriate implementation schemes for channel coding, PAPR(Peak To Average Power Ratio) reducing and synchronization of the OFDM system based on the minimum BER(Bit Error Rate). Finally, the paper realized the simulation and got the BER in different SNR(Signal To Noise Ratio) in the matlab environment .

scholarly journals Analysis of Signal to Noise Ratio in Coronagraph Observations of Coronal Mass Ejections

2020 ◽  
Author(s):  
Johannes Hinrichs ◽  
Jackie A. Davies ◽  
Matthew J. West ◽  
Volker Bothmer ◽  
Bram Bourgoignie ◽  
...  
Keyword(s):  
Coronal Mass Ejections ◽  
Signal To Noise Ratio ◽  
European Space Agency ◽  
Leading Edge ◽  
Outer Edge ◽  
Field Of View ◽  
Signal To Noise ◽  
Space Agency ◽  
Noise Ratio ◽  
Improved Performance

<p>Aims. We analyse the Signal-to-Noise Ratio (SNR) requirements of the European Space Agency (ESA)-funded Solar Coronagraph for OPErations (SCOPE) instrument with respect to the manual and automatic detection of Coronal Mass Ejections (CMEs) in its field of view of 2.5 to 30 solar radii.<br />Methods. For our analysis, SNR values are estimated from observations made by the C3 coronagraph on the Solar and Heliospheric Observatory (SOHO) spacecraft for a number of di erent CMEs. Additionally, we generate a series of artificial coronagraph images, each consisting of a modelled coronal background and a CME, the latter simulated using the Graduated Cylindrical Shell (GCS) model together with the SCRaytrace code available in the Interactive Data Language (IDL) SolarSoft library. Images are created with CME SNR levels between 0.5 and 10 at the outer<br />field of view (FOV) edge, generated by adding Poisson noise, and velocities between 700 km s-1 and 2800 kms-1. The images are analysed for the detectability of the CME above the noise with the automatic CME detection tool CACTus.<br />Results. We find in the analysed C3 images that CMEs near the outer edge of the field of view are typically 2%of the total brightness and have an SNR between 1 and 4 at their leading edge. The automated detection of CMEs in our simulated images by CACTus succeeded well down to SNR = 1 and for CME velocities up to 1400 kms-1. At lower SNR and higher velocity of 2100 kms-1 the detection started to break down. For SCOPE, the results from the two approaches confirm that the initial design goal of SNR = 4 would, if achieved, deliver improved performance over established data used in operations today.</p>

A Fast Adaptive Beamforming Algorithm Based on Gram-Schmidt Orthogonalization

2021 ◽  
Vol 16 (4) ◽  
pp. 642-650
Author(s):  
Bing-Feng Qian ◽  
Shi-Jie Gao ◽  
Quan-Feng Li ◽  
Qian Zhang ◽  
Ye Wang
Keyword(s):  
Computational Complexity ◽  
Covariance Matrix ◽  
Signal To Noise Ratio ◽  
Data Preprocessing ◽  
Adaptive Threshold ◽  
Adaptive Beamforming ◽  
High Signal ◽  
Signal To Noise ◽  
Schmidt Orthogonalization ◽  
Beamforming Algorithm

Fast implementation is one of the important indexes of the ADBF algorithm. The advantages of the Gram-Schmidt (GS) orthogonalization algorithm are that it can reconstruct the interference subspace well under the high signal-to-noise ratio and has fast convergence speed and low computational complexity. This paper studies the RGS algorithm for GS orthogonalization of sampling covariance matrix. To estimate the interference subspace more accurately, this paper modifies the orthogonal adaptive threshold of covariance matrix, and extends the proposed GS orthogonal algorithm of covariance matrix based on data preprocessing to the adaptive beamforming processing at subarray level.

scholarly journals Improved performance of near infrared excitation Raman spectroscopy using reflective thin-film gold on glass substrates for cytology samples

2019 ◽  
Vol 11 (47) ◽  
pp. 6023-6032
Author(s):  
Sinead J. Barton ◽  
Kevin O'Dwyer ◽  
Marion Butler ◽  
Adam Dignam ◽  
Hugh J. Byrne ◽  
...  
Keyword(s):  
Thin Film ◽  
Raman Spectroscopy ◽  
Near Infrared ◽  
Signal To Noise Ratio ◽  
Signal To Noise ◽  
Glass Substrates ◽  
Gold Substrates ◽  
Infrared Excitation ◽  
Improved Performance ◽  
The Cost

Thin-film gold substrates offer improved performance and cost for NIR excitation Raman spectroscopy of biological cells when compared with CaF2. We demonstrate a 1.65 times enhancement in the signal to noise ratio with <5% of the cost.

Effect of Synchronized Linked Band Selection on Speech Intelligibility of Bilateral Cochlear Implant Users

2020 ◽  
Author(s):  
Tom Gajęcki ◽  
Waldo Nogueira
Keyword(s):  
Electrical Stimulation ◽  
Cochlear Implant ◽  
Background Noise ◽  
Speech Intelligibility ◽  
Signal To Noise Ratio ◽  
Normal Hearing ◽  
Band Selection ◽  
Signal To Noise ◽  
Intelligibility Test ◽  
Bilateral Cochlear Implant

Normal hearing listeners have the ability to exploit the audio input perceived by each ear to extract target information in challenging listening scenarios. Bilateral cochlear implant (BiCI) users, however, do not benefit as much as normal hearing listeners do from a bilateral input. In this study, we investigate the effect that bilaterally linked band selection, bilaterally synchronized electrical stimulation and ideal binary masks (IdBMs) have on the ability of 10 BiCIs to understand speech in background noise. The performance was assessed through a sentence-based speech intelligibility test, in a scenario where the speech signal was presented from the front and the interfering noise from one side. The linked band selection relies on the most favorable signal-to-noise-ratio (SNR) ear, which will select the bands to be stimulated for both CIs. Results show that no benefit from adding a second CI to the most favorable SNR side was achieved for any of the tested bilateral conditions. However, when using both devices, speech perception results show that performing linked band selection, besides delivering bilaterally synchronized electrical stimulation, leads to an improvement compared to standard clinical setups. Moreover, the outcomes of this work show that by applying IdBMs, subjects achieve speech intelligibility scores similar to the ones without background noise.

scholarly journals Separate DOD and DOA Estimation for Bistatic MIMO Radar

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Lin Li ◽  
Fangfang Chen ◽  
Jisheng Dai
Keyword(s):  
Computational Complexity ◽  
Signal To Noise Ratio ◽  
Doa Estimation ◽  
Mimo Radar ◽  
Music Algorithm ◽  
Signal To Noise ◽  
Bistatic Mimo Radar ◽  
Direction Of Departure ◽  
Type Algorithm ◽  
Simulation Results

A novel MUSIC-type algorithm is derived in this paper for the direction of departure (DOD) and direction of arrival (DOA) estimation in a bistatic MIMO radar. Through rearranging the received signal matrix, we illustrate that the DOD and the DOA can be separately estimated. Compared with conventional MUSIC-type algorithms, the proposed separate MUSIC algorithm can avoid the interference between DOD and DOA estimations effectively. Therefore, it is expected to give a better angle estimation performance and have a much lower computational complexity. Meanwhile, we demonstrate that our method is also effective for coherent targets in MIMO radar. Simulation results verify the efficiency of the proposed method, particularly when the signal-to-noise ratio (SNR) is low and/or the number of snapshots is small.

Sign in / Sign up

Export Citation Format

Share Document