Application of a PLL and ALL noise reduction process in optical sensing systems

1997 ◽  
Vol 44 (1) ◽  
pp. 136-138 ◽  
Author(s):  
D.F. Clark ◽  
T.J. Moir
Keyword(s):  
Noise Reduction ◽  
Optical Sensing ◽  
Reduction Process ◽  
Sensing Systems

Recent advances in cataluminescence-based optical sensing systems

The Analyst ◽  
2017 ◽  
Vol 142 (9) ◽  
pp. 1415-1428 ◽  
Author(s):  
Si Wang ◽  
Zhiqin Yuan ◽  
Lijuan Zhang ◽  
Yanjun Lin ◽  
Chao Lu
Keyword(s):  
Optical Sensing ◽  
Sensing Systems ◽  
Recent Advances

Recent advances in the development of cataluminescence focused on oxygen, temperature, catalyst and instrumentation are summarized.

scholarly journals Gold nanoparticles as sensitive optical probes

The Analyst ◽  
2016 ◽  
Vol 141 (5) ◽  
pp. 1611-1626 ◽  
Author(s):  
Zhiqin Yuan ◽  
Cho-Chun Hu ◽  
Huan-Tsung Chang ◽  
Chao Lu
Keyword(s):  
Gold Nanoparticles ◽  
Optical Sensing ◽  
Optical Probes ◽  
Sensing Systems ◽  
Recent Advances

Recent advances in Au NP based optical sensing systems for various analytes based on absorption, fluorescence and SERS are summarized.

Development of optical sensing systems for smart civil infrastructure

1995 ◽  
Vol 4 (1A) ◽  
pp. A114-A120 ◽  
Author(s):  
M Q Feng ◽  
H Suzuki ◽  
I Yokoi
Keyword(s):  
Optical Sensing ◽  
Civil Infrastructure ◽  
Sensing Systems

Schaeffer's Values, Henry's Monsters and Orchestral Noise Reduction

2013 ◽  
Vol 18 (1) ◽  
pp. 81-91
Author(s):  
Jeffrey DeThorne
Keyword(s):  
Nineteenth Century ◽  
Twentieth Century ◽  
Noise Reduction ◽  
Electronic Music ◽  
Reduction Process ◽  
Electroacoustic Music ◽  
Musical Aesthetics ◽  
Cultural Traditions ◽  
The Face ◽  
Historical Tradition

If nineteenth-century aesthetics distinguish between distinct, colourful French instrumentation and doubled, equalised German orchestration, this distinction softens when the ‘New German’ orchestration of Wagner and Strauss exploits individual instrumental colours before dissolving them into massive orchestral sonorities. Similarly, if early French electroacoustic music counteracts the meta-serialism of early twentieth-century German electronic music, Pierre Schaeffer's Traité des objets musicaux combines his early anecdotal Noise Studies with a noise-reduction process into a new, rather German aesthetic of electroacoustics. In search of musical objects through a reductive, analytical listening (entendre), Schaeffer's neutralisation of anecdotal noises into musical objects is analogous to New German orchestration's neutralisation of individual orchestral colours in order to synthesise new orchestral combinations. Although this orchestral synthesis is different from the analytical probe for new valeurs involved in entendre, the separation of the noise from its residual signification are fundamental processes within both nineteenth-century orchestrational and twentieth-century electroacoustic musical aesthetics. If our current understanding of electronic music aligns Schaeffer and Pierre Henry wholly with modernity and its putatively radical and self-conscious break with Berlioz, Brahms and historical tradition, this article suggests that an essential underlying continuity in the French-instrumentation/German-orchestration binary persists even in the face of the decline of the musical and cultural traditions that created and sustained them.

scholarly journals An ECG Denoising Method Based on the Generative Adversarial Residual Network

2021 ◽  
Vol 2021 ◽  
pp. 1-23
Author(s):  
Bingxin Xu ◽  
Ruixia Liu ◽  
Minglei Shu ◽  
Xiaoyi Shang ◽  
Yinglong Wang
Keyword(s):  
Noise Reduction ◽  
Reduction Process ◽  
Experimental Results ◽  
Depth Information ◽  
Ecg Signal ◽  
Massachusetts Institute Of Technology ◽  
Residual Network ◽  
Denoising Autoencoder ◽  
Generative Adversarial Network ◽  
Ecg Denoising

High-quality and high-fidelity removal of noise in the Electrocardiogram (ECG) signal is of great significance to the auxiliary diagnosis of ECG diseases. In view of the single function of traditional denoising methods and the insufficient performance of signal details after denoising, a new method of ECG denoising based on the combination of the Generative Adversarial Network (GAN) and Residual Network is proposed. The method adopted in this paper is based on the GAN structure, and it restructures the generator and discriminator. In the generator network, residual blocks and Skip-Connecting are used to deepen the network structure and better capture the in-depth information in the ECG signal. In the discriminator network, the ResNet framework is used. In order to optimize the noise reduction process and solve the lack of local relevance considering the global ECG problem, the differential function and overall function of the maximum local difference are added in the loss function in this paper. The experimental results prove that the method used in this article has better performance than the current excellent S-Transform (S-T) algorithm, Wavelet Transform (WT) algorithm, Stacked Denoising Autoencoder (S-DAE) algorithm, and Improved Denoising Autoencoder (I-DAE) algorithm. Experiments show that the Root Mean Square Error (RMSE) of this method in the Massachusetts Institute of Technology and Beth Israel Hospital (MIT-BIH) noise pressure database is 0.0102, and the Signal-to-Noise Ratio (SNR) is 40.8526 dB, which is compared with that of the most advanced experimental methods. Our method improves the SNR by 88.57% on average. Besides the three noise intensities for comparison experiments, additional noise reduction experiments are also performed under four noise intensities in our paper. The experimental results verify the scientific nature of the model, which is that our method can effectively retain the important information conveyed by the original signal.

scholarly journals Dual-Channel Speech Enhancement Based on Speech Presence Probability

2020 ◽  
Vol 9 (3) ◽  
pp. 2198-2200
Keyword(s):  
Noise Reduction ◽  
Speech Enhancement ◽  
Hearing Aids ◽  
Speech Processing ◽  
Speech Signal ◽  
Reduction Process ◽  
Coherent Noise ◽  
Residual Noise ◽  
Speech Distortion ◽  
Reduction Methods

This paper introduces technology to improve sound quality, which serves the needs of media and entertainment. Major challenging problem in the speech processing applications like mobile phones, hands-free phones, car communication, teleconference systems, hearing aids, voice coders, automatic speech recognition and forensics etc., is to eliminate the background noise. Speech enhancement algorithms are widely used for these applications in order to remove the noise from degraded speech in the noisy environment. Hence, the conventional noise reduction methods introduce more residual noise and speech distortion. So, it has been found that the noise reduction process is more effective to improve the speech quality but it affects the intelligibility of the clean speech signal. In this paper, we introduce a new model of coherence-based noise reduction method for the complex noise environment in which a target speech coexists with a coherent noise around. From the coherence model, the information of speech presence probability is added to better track noise variation accurately; and during the speech presence and speech absent period, adaptive coherence-based method is adjusted. The performance of suggested method is evaluated in condition of diffuse and real street noise, and it improves the speech signal quality less speech distortion and residual noise.

Identification and Monitoring of Geotechnical Risk Areas Using Inertial Data Supplied by In-Line Inspection Tools

2015 ◽  
Author(s):  
Tom Henry Bernabe Castro ◽  
John Erick Malpartida Moya
Keyword(s):  
Noise Reduction ◽  
Action Plan ◽  
Reduction Process ◽  
Operating Conditions ◽  
Critical Conditions ◽  
Soil Movement ◽  
Additional Information ◽  
Risk Areas ◽  
Ground Motion Records ◽  
Geotechnical Risk

By their nature, Pipeline Transmission Systems are exposed to threats from various sources. These include the threat of Weather and Outside Forces (WOF), this threat has a destructive potential associated with landslides, creeping, soil erosion and scouring in rivers, etc. Their hazards increase when pipelines are installed in areas with a tropical climate, having rains of a magnitude that often tend to destabilize the soil surrounding the pipelines, affecting its integrity and therefore the safety of people and the environment. The identification and monitoring of geotechnical risk areas, using inertial data, is based on the reprocessing and analysis of the raw data provided by in line inspection tools. The result of this analysis, after the noise reduction process using a variety of filters at different intervals, reveals areas where there is possible deformation. These zones are transformed into indications that are studied by an analyst, correlating other data sources such as terrain topography, soil characteristics, hydrology, ground motion records, ILI records (caliper records, MFL records, etc.), as-built data, stress concentrators, etc. The analyst determines if they are pipeline deformations due to soil movement or if the indication is caused by another source such as the noise caused by the electronic components of the tool, the operating conditions during the inspection, the filtering process, etc. Areas with signs of strain are evaluated to determine the tensional state in critical conditions for each specific case. If the stresses are close to the limits, a field inspection and an action plan are needed for each case. In certain cases, according to the experts, field indications are evaluated to verify the data obtained by the ILI Tool and to simultaneously give feedback to the noise reduction process. The execution of the calculation process allows the monitoring and identification of geotechnical risk areas, providing better control over parameters such as limits for reporting indications, control of discrimination and selection criteria, detailed assessment of each indication, etc. Finally, this process provides the opportunity to obtain additional information from the ILI inspection such as unregistered bending, misaligned welds, areas with excess root welding, etc.

Sign in / Sign up

Export Citation Format

Share Document