Noise Spectrum Research Articles

Training neural networks to filter noise in voice-driven energy systems

The paper notes the labor-intensive and time-consuming process of compiling a training sample of a neural network, the influence of the compiled sample on the quality of network operation, and voice control tools for energy consumption systems, presents the main problems of training sample formation. It is noted that due to the simultaneous influence of a large number of factors on the quality of network operation, corrective changes in the training sample can lead to random results and disruption of energy consumption systems. In order to exclude randomness, it is suggested to use an approach based on comparison of the results of the trained neural network and the tested method. Recommendations on the volume and content of the sample depending on the nature of the filtered noise for homogeneous and dynamically changing noise are formulated. It is suggested to divide the training sample into groups with related properties in order to improve the efficiency of the training sample formation process. It is noted that due to the formal approach realized by neural networks, it is possible to incorrectly assess the impact of specific corrective changes on the quality of neural network performance. To reduce this factor and increase the efficiency of the process of forming the training sample, it is proposed to use an approach based on comparing the quality of noise filtering by a neural network and the results of filtering by a tested method based on physical principles of signal conversion. A process that improves the efficiency of neural network training sample formation and improving the quality of voice control of energy consumption systems is proposed. The requirements to the recommended method are formulated. It is proposed to use a transformed filtering method based on subtracting the noise spectrum from the signal spectrum containing noise. It is recommended to apply the method correctly depending on the frequency range of the noise and its characteristics.

Low-noise preamplifier for scanning tunneling microscope

The current preamplifier is one of the important components of the scanning tunneling microscope (STM), and its performance is crucial to the basic operations of the STM system, as well as for the development of demanding novel functionalities such as autonomous atomic fabrication. In this study, the factors that affect the performance of a current preamplifier, including its noise spectrum density and the bandwidth, are analyzed in depth, and a preamplifier is designed and fabricated specifically for the STM system. By using a carefully selected low-noise op amp chip, the optimized current preamplifier has a noise floor as low as 4 <inline-formula><tex-math id="M2">\begin{document}$ {\mathrm{f}}{\mathrm{A}}/\sqrt{{\mathrm{H}}{\mathrm{z}}} $\end{document}</tex-math><alternatives><graphic specific-use="online" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="13-20240560_M2.jpg"/><graphic specific-use="print" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="13-20240560_M2.png"/></alternatives></inline-formula> and a bandwidth of 2.3 kHz, at its most sensitive transimpedance gain of 1 GΩ. It has three transimpedance gains, 10 MΩ, 100 MΩ, and 1 GΩ, that can be switched through digital control signals. A two-switch configuration is adopted to minimize the noise floor while maintaining the optimal bandwidth. The current detectable by this three-level preamplifier ranges from pA to μA, satisfying the requirements of most STM operations. Using this preamplifier, the fundamental functions of the STM system are successfully demonstrated, including surface topographic characterization, scanning tunneling spectroscopy, and single atom/molecule manipulation. The measurement of shot noise in tunneling current is also explored, and a linear relationship between shot noise and tunneling current is obtained by carefully analyzing noise. It is illustrated that the Fano factor of the shot noise in a normal metallic tunneling junction is approximately equal to 1, revealing the expected Poisson process for electron tunneling in such a scenario. The results are valuable for the high-resolution characterization of correlation systems in the future.

An Improved Gaussian Sum Extended Kalman Filter With Colored Noise for GNSS/SINS Tightly Coupled Positioning and Attitude Determination Systems

An Improved Gaussian Sum Extended Kalman Filter With Colored Noise for GNSS/SINS Tightly Coupled Positioning and Attitude Determination Systems

On the Radial-Based Estimation of Colored Noise Power in Weather Radars

On the Radial-Based Estimation of Colored Noise Power in Weather Radars

Weak beat frequency extraction method for photon Doppler signal with low signal-to-noise ratio

Abstract In the window function spectrum of the low signal-to-noise ratio photon Doppler signal after the short-time Fourier transform, the weak beat frequency cannot be obtained by extracting the maximum amplitude spectrum frequency of each window because the amplitude of the noise spectrum exceeds the weak beat frequency. In this article, the value of the beat frequency is first estimated by the Kalman filter. Then, a multiple analytical bandpass filter is constructed to refine the spectrum of the high noise signal with the value of the beat frequency estimate as the spectrum band center. This technique extracts only the beat frequencies from the narrowband refinement spectrum by removing the interference spectrum band range. We use this technique to process the photon Doppler signals from the tiny high-speed flying fragments explosion experiment. After data processing, the beat frequency value heavily affected by high-frequency noise can reduce the error by up to 64.9%. The beat frequency value of the low noise signal can be accurate to 106 Hz, equivalent to 0.775 m/s after velocity demodulation. This method fully considers the positioning and protection of the beat frequency characteristics. It makes weak beat frequencies more obvious in the refined narrowband spectrum without changing the signal amplitude. This article describes a method for extracting the weak beat frequency of the photon Doppler signal or a signal optimization algorithm for needing high-precision beat frequencies in a test environment.

Variation of color of magnetic noise in Er3+ molecular magnets contacting metal surface in ferromagnetic composite

Interaction between single molecule magnets (SMMs) and metal surface is a hot topic promising controllable deposition of SMMs, programmable frequency of magnetic relaxation and addressed reading of information. In this paper, we develop strategy of the Er3+ based SMM functionalization by its penetration inside the arrays of Ferromagnetic Micro Particles (FMPs). We show that predictable residual magnetic field of the FMPs arrays is an effective tool for regulation of the frequency maximum of imaginary magnetic susceptibility. We analyzed color of magnetic noise in respect to physical origin of magnetic relaxation. An additional channel for control over spin noise is formation of chemical bonds between SMM and the FMPs surface. Oxidation of an Er complex transforms 20 ± 5 % of the initial 10-coordinated SMM complex to the 9-coordinated complex with reduced relaxation time. Memorized residual magnetization of the composite material allows one to set desirable relaxation frequency in the individual micronized cells to create a sound frequency register. The proposed compaction of SMMs of different types in ferromagnetic composites provides engineering of the chemically designed spin interface on ferromagnetic surface for spintronics and quantum computing.

Noise-Induced Defects in Honeycomb Lattice Structure: A Phase-Field Crystal Study

One of the classes of the kinetic phase-field model in the form of the two-mode hyperbolic phase-field crystal model (modified PFC model) is used for the study of the noise effect of the crystalline structure. Special attention is paid to the origin of the defect’s microstructure in the crystalline honeycomb lattice due to induced colored noise. It shows that the noise–time correlation coefficient τζ, comparable to the diffusion time, enhances the grain boundary mobilities. Instead, a small spatial correlation coefficient, λζ, close to the first lattice parameter of the honeycomb crystal, stabilizes the structure. The finite non-zero value of the relaxation time τ for the atomic flux significantly slows the local relaxation of the fluctuated field and leads to the grains’ fragmentation and formation of the disordered phases. The obtained results are applicable to the hexagonal atomic structures and, in particular, to honeycomb crystals, such as boron nitride, in which the lattice defects might be simulated through the induced colored noise.

SSGAM-Net: A Hybrid Semi-Supervised and Supervised Network for Robust Semantic Segmentation Based on Drone LiDAR Data

The semantic segmentation of drone LiDAR data is important in intelligent industrial operation and maintenance. However, current methods are not effective in directly processing airborne true-color point clouds that contain geometric and color noise. To overcome this challenge, we propose a novel hybrid learning framework, named SSGAM-Net, which combines supervised and semi-supervised modules for segmenting objects from airborne noisy point clouds. To the best of our knowledge, we are the first to build a true-color industrial point cloud dataset, which is obtained by drones and covers 90,000 m2. Secondly, we propose a plug-and-play module, named the Global Adjacency Matrix (GAM), which utilizes only few labeled data to generate the pseudo-labels and guide the network to learn spatial relationships between objects in semi-supervised settings. Finally, we build our point cloud semantic segmentation network, SSGAM-Net, which combines a semi-supervised GAM module and a supervised Encoder–Decoder module. To evaluate the performance of our proposed method, we conduct experiments to compare our SSGAM-Net with existing advanced methods on our expert-labeled dataset. The experimental results show that our SSGAM-Net outperforms the current advanced methods, reaching 85.3% in mIoU, which ranges from 4.2 to 58.0% higher than other methods, achieving a competitive level.

Recognition of motor imagery electroencephalogram based on flicker noise spectroscopy and weighted filter bank common spatial pattern

Due to the high complexity and subject variability of motor imagery electroencephalogram, its decoding is limited by the inadequate accuracy of traditional recognition models. To resolve this problem, a recognition model for motor imagery electroencephalogram based on flicker noise spectrum (FNS) and weighted filter bank common spatial pattern ( wFBCSP) was proposed. First, the FNS method was used to analyze the motor imagery electroencephalogram. Using the second derivative moment as structure function, the ensued precursor time series were generated by using a sliding window strategy, so that hidden dynamic information of transition phase could be captured. Then, based on the characteristic of signal frequency band, the feature of the transition phase precursor time series and reaction phase series were extracted by wFBCSP, generating features representing relevant transition and reaction phase. To make the selected features adapt to subject variability and realize better generalization, algorithm of minimum redundancy maximum relevance was further used to select features. Finally, support vector machine as the classifier was used for the classification. In the motor imagery electroencephalogram recognition, the method proposed in this study yielded an average accuracy of 86.34%, which is higher than the comparison methods. Thus, our proposed method provides a new idea for decoding motor imagery electroencephalogram.

(Invited) In-Depth Understanding of the Key Contributors to the Total Flicker Noise in Advanced Logic Devices

The aim of this work is to perform an in-depth analysis in order to identify the key contributors to the total flicker noise in advanced MOSFET technologies, e.g. UTBOX, FinFET or Gate-all-around (GAA) nanowire or nanosheet FET devices.In this abstract, as an example, we will focus on p-type gate all around silicon vertical nanowire devices fabricated at imec. The transistors have a fixed gate length (LG) of 50 nm and 1200 nanowires in parallel (N), each nanowire (NW) having a diameter (WNW) of 20 nm. The total width (W) of the device is calculated as . The gate stack corresponds to an equivalent oxide thickness (EOT) of 0.9 nm. A full description of the process flow of the devices is presented in [1]. Comparison between the Y-function strategy of [2] and McLarty methodology [3] permits to estimate with accuracy the DC parameters necessary for low frequency noise modelling, which are summarized in Table 1.Typical low frequency noise spectra are shown in Figure 1. The methodology for the estimation of the low frequency noise parameters is described in [4], but it is obvious that the noise spectra are dominated by 1/f noise and only few Lorentzian contributions appear for some gate voltage polarization. As the corresponding flicker noise levels (K f ), plotted in Figure 2 present a plateau and rise with the increase of the applied gate voltage, the responsible 1/f noise mechanism should be related to the carrier number or correlated carrier number fluctuations mechanism, with a possible contribution of the access resistance 1/f noise.Firstly, the model described in [5-9] expressed as in equation (1) is employed. A linear dependence of the square root of the 1/f noise levels on the measured Id/gm is observed in Figure 3, permitting to estimate from the intercept and slope the flat-band noise level (Svfb) and the W coefficient, respectively. Using the methodology of [9] the estimated W parameter is corrected by the access resistance influence. Good agreement with experimental data in strong inversion may be observed in both cases (Figure 4).Secondly, the model which considers the small signal model of the MOSFET is used, assuming that the channel resistance noise and access resistances noise are uncorrelated noise sources [2,10,11]. The model may be expressed by equation (2) ((13) of [11]), in order to make no assumption concerning the gm/gch ratio. Beyond the threshold voltage, the impact of the cannot be neglected, as observed from Figure 5. It may be observed from Figure 6 that the correlated number fluctuation and mobility noise mechanism cannot explain the flicker noise behavior in very strong inversion, and an additional contribution of the access resistances noise may be considered in order to agree with the experimental data.The noise parameters estimated to agree with the experimental data for both models are summarized in Table 2. It is interesting to note that the experimental data may be explained by both models, but the key contributors are not the same: only correlated number fluctuations and mobility noise mechanism for the first model, and correlated number fluctuations and mobility and access resistance noise mechanisms contribution for the second one. Moreover, the estimated flat-band noise levels are not the same, a much lower Svfb is obtained when the first model is employed. Considering the access resistance impact may correct the W coefficient, but leads to even lower flat-band noise levels, as already reported in [9].These results lead to some questioning about which of these two models is most accurate and give good indications on the key contributors and estimated parameters of the total flicker noise.

Improving the accuracy of QoT estimation with insertion loss distribution evaluation for C + L band transmission systems

The accuracy of quality of transmission (QoT) estimation is crucial for software-defined optical networks (SDONs), where network planning and system management of the centralized controller depend on reliable performance evaluation. The insertion loss (IL) commonly exists along the light path between the transmitter side (Tx) and the receiver side (Rx) in fiber optical transmission systems, and the IL values vary for each connector and pigtail. In the case of C+L band transmission systems that are about to be deployed on a large scale, in the presence of severe stimulated Raman scattering (SRS), IL further influences the launch power profile (LPP) as well as the noise spectrum, and the process in the QoT estimation will be disturbed without available IL values. Therefore, there is a great need for an accurate calculation method of IL distribution. In this paper, we propose a method to estimate IL distribution in fiber optical transmission links to improve the accuracy of QoT estimation based on the SRS effect. The results demonstrate that, compared with other common methods, our proposed method greatly improves the accuracy of QoT estimation for C+L band transmission systems with accurate IL distribution evaluation. The high accuracy, robustness, and ability to adapt dynamic conditions make our proposed method a promising QoT estimation scheme in practical C+L band fiber optical communication systems.

Effect of Nitrogen Ion Diffusion Jumps in Nanometer-Sized Si3N4 Memristors Investigated by Low-Frequency Noise Spectroscopy

The elementary jumps in the electron current through conducting filaments of two nanometer-sized virtual memristor structures consisting of a contact of a conductive atomic force microscope probe to the Si3N4 layer with the thickness of 6[Formula: see text]nm deposited onto the [Formula: see text]-Si(001) conductive substrates are investigated. These structures are: (S1) the Si3N4/Si film; (S2) the Si3N4/SiO2/Si stack, a similar structure with 2[Formula: see text]nm SiO2 sublayer between the film and the substrate. Usually, such investigations are performed by the analysis of the waveform of this current with the aim of extracting the random telegraph noise (RTN). Here, we develop a new indirect method, which is based on the measurement of the spectrum of the low-frequency flicker noise in the current without extracting the RTN. We propose that the flicker noise is caused by the motion (drift/diffusion) of nitrogen ions via vacancies within and around the filament. The number of these ions is estimated by taking into account the geometrical parameters of the filament. This allows us to estimate the root mean square magnitude [Formula: see text] of the current jumps, which are caused by random jumps of nitrogen ions, and the number M of these ions. This is fundamental for understanding the elementary mechanisms of the electron current flowing through the filament and the resistive switching in memristor devices.

Analysis of direct and indirect noise in a next-generation aviation gas turbine combustor

A large-eddy simulation (LES) of a next-generation combustor is performed to examine effects of this combustor concepts on direct and indirect combustion noise characteristics. Direct noise is computed considering the unsteady heat release predictions while entropy fluctuations in the downstream part of the combustor are used to estimate indirect noise through the transfer function of the outlet nozzle. A low-order acoustic reconstruction technique, which utilizes the Green’s function of the configuration, is developed to compute the acoustics inside the combustor. Comparisons to experimental results are reported, showing the reasonable accuracy of the LES and combustion noise computations. The direct noise spectrum peaks at frequencies around 3 kHz because of the fast timescales associated with the chemical reactions inside the combustor. In addition, the indirect noise is dominant at low frequencies, i.e., less than 400 Hz, because of the characteristics of the entropy spectrum at the outlet nozzle. Compared to a conventional rich-quench-lean (RQL) combustor configuration, significant differences in the acoustics are observed, and are explained by two specific technological novelties. Firstly, the direct noise spectrum peaks at significantly higher frequencies due to the combustor’s compactness. Secondly, the entropy inhomogeneities downstream of the combustion region are an order of magnitude smaller in amplitude due to the lack of dilution with cold air. This leads to a significant reduction in the indirect noise amplitude at low frequencies, where it is the dominant source of noise. These results suggest opportunities for advanced combustion technologies to achieve substantial reductions in combustion-related noise.

Analysis of the Usefulness of Cheap Audio Recorders for Spectral Measurement of Environmental Noise

Environmental noise pollution is nowadays one of the most serious health threats. The impact of noise on the human body depends not only on the sound level but also on its spectral distribution. Reliable measurements of the environmental noise spectrum are often hampered by the very high price of top quality measuring devices. This paper explores the possibility of using much cheaper audio recorders for the frequency analysis. Comparative research was performed in laboratory and field conditions, which showed that, with some limitations, these devices can be useful in analyzing the frequency of environmental noise. This provides an opportunity for reducing the cost of noise analysis experimental work.

Bench tests of noise-insulating materials

A group of employees of the Scientific, Educational and Production Laboratory "Outboard Boat Motors" of the Department of Water Transport Operation of the Federal State Budgetary Educational Institution "AGTU" achieved certain results in the fight against noise, reflected in a number of patents of noise-insulating hoods of various modifications and publications on the analysis of the frequency spectrum of outboard boat motor noise, evaluation of the effectiveness of outboard motor hoods of small-sized Based on the accumulated scientific research, several proto-types of multilayer means recommended for sound insulation of outboard boat motors have been created. In the conditions of a large range of directions, there is a need to apply single-layer or multi-layer structures to the properties of sound insulation without forming a physical model of the hood, casing. This is due to the fact that the production of a hood model entails a complex technological process, while creating a sample in the form of a plate from the same material is much more profitable in terms of financial, labor and time costs. Based on the needs of the scientific educational and production laboratory of outboard boat motors in the study of noise generated by outboard boat motors and means of combating them, it was decided to create a stand to assess the effectiveness of noise-reducing materials, which will allow modeling the conditions of natural operation of a noise-insulating material without the use of full-scale tests with outboard by motor. The created stand allows testing in two directions. The first direction is the testing of physical models of casings for noise insulation using audio files reproducing the noise of the required equipment. The second direction is the study of materials for their noise-insulating properties when generating waves of different frequencies.

Dynamics of Semiconductor Laser Subject to Optical Feedback with Linewidth Enhancement Factor and Spontaneous Emission Factor

In this article, the dependence of the operation states, dynamics, and noise of laser diodes (LD) with external optical feedback (OFB) on the linewidth enhancement factor (LEF) and spontaneous emission factor (SEF) have been investigated. We systematically studied the classification of the laser dynamics based on the bifurcation diagrams (BDs) of the photon numbers and the relative intensity noise (RIN) spectra at different levels of OFB, LEF, and SEF. The simulation results show that variations in the LEF and SEF lead to significant changes in the laser operation states and dynamics, which vary from continuous wave (CW), pulsation, and chaos states. The Hopf bifurcation (HB) point moves toward increasing/decreasing OFB intensity by increasing/decreasing the SEF/LEF. The laser state becomes more stable through a wide range of OFB by increasing/decreasing the SEF/LEF. The RIN reduces the solitary laser noise level at higher/lower values of SEF/LEF when the laser is operated under OFB. The relaxation frequency of the laser shifts toward higher values by increasing/decreasing the SEF/LEF through most laser states, and the RIN peak is higher than solitary laser noise by four orders of magnitude, especially in the pulsation regions. In the low-frequency region, the RIN is enhanced from one to two orders by reducing the LEF and SEF through laser states.

Aerodynamic noise from a high-speed train bogie with complex geometry under a leading car

Among the various aerodynamic noise sources associated with high-speed trains, the bogie regions, and particularly the leading bogie, contribute most to the overall noise. To control this noise, insight into the noise generation mechanisms is imperative but relevant studies are limited due to the difficulties of simulating the flow in regions with complex geometry. An investigation is presented of the aerodynamic noise from a bogie under the leading car of a high-speed train using Delayed Detached Eddy Simulation method. A hybrid grid system is utilized to simulate the flow field, which provides input for the far-field noise calculations based on the Ffowcs Williams and Hawkings equation. Analysis shows that the outer bogie components experience large pressure fluctuations as they are immersed in the shear layer detached from upstream, which is therefore identified as playing a critical role in the noise generation. The resulting noise spectra are broadband and dominated by low frequencies. Compared with the bogie, the bogie cavity and train nose emit 5 dB greater sound power for the current geometry. This study improves understanding of the mechanisms behind the generation of aerodynamic noise in train bogies and lays the foundations for future studies of train bogie noise reduction.

Research on the Design of Cultural and Creative Products Based on Lingnan Intangible Cultural Heritage in the Age of Artificial Intelligence

Abstract Lingnan Intangible Cultural Heritage (ICH) has a long history and contains rich and unique regional culture, which can provide new thoughts and ideas for cultural and creative product design. In this paper, firstly, the cVAE-GAN network model is utilized to extract the features of the modeling symbols of Lingnan intangible cultural heritage, which helps to obtain the modeling symbols of Lingnan intangible cultural heritage for cultural and creative product design. Secondly, the HSV color space model realizes the refinement of the color elements of Lingnan intangible cultural heritage, which promotes the application of color diversity in the design of Lingnan cultural and creative products. Then, the two methods are combined with artificial intelligence technology to construct the Lingnan emotional interactive cultural and creative product design framework, which enables the computer to integrate the designer’s design emotion on the basis of learning modeling and color and promotes the enhancement of the emotional value of Lingnan non-heritage cultural and creative products. Finally, to verify the effectiveness of the method described in this paper, a relevant test analysis was conducted. The results show that when the computational order is more than 60 orders, the cVAE-GAN network in this paper extracts the styling symbol features in only about 115ms, the PSNR improvement of the HSV color space model under different color blocks is more than 2dB, and the RSD of H-channel can be found to be in the range of 0.5% to 5.0% after performing color noise removal. Carrying out the cultural and creative product design of Lingnan intangible cultural heritage in the era of artificial intelligence needs to be more clear about the shape and color of the intangible heritage and fully combine with the designer’s emotion in order to make the Lingnan intangible cultural and creative products revitalized with new vitality.

Moving Crystal Phases of a Quantum Wigner Solid in an Ultra-High-Quality 2D Electron System.

In low-disorder, two-dimensional electron systems (2DESs), the fractional quantum Hall states at very small Landau level fillings (ν) terminate in a Wigner solid (WS) phase, where electrons arrange themselves in a periodic array. The WS is typically pinned by the residual disorder sites and manifests an insulating behavior, with nonlinear current-voltage (I-V) and noise characteristics. We report here measurements on an ultralow-disorder, dilute 2DES, confined to a GaAs quantum well. In the ν<1/5 range, superimposed on a highly insulating longitudinal resistance, the 2DES exhibits a developing fractional quantum Hall state at ν=1/7, attesting to its exceptional high quality and dominance of electron-electron interaction in the low filling regime. In the nearby insulating phases, we observe remarkable nonlinear I-V and noise characteristics as a function of increasing current, with current thresholds delineating three distinct phases of the WS: a pinned phase (P1) with very small noise, a second phase (P2) in which dV/dI fluctuates between positive and negative values and is accompanied by very high noise, and a third phase (P3) where dV/dI is nearly constant and small, and noise is about an order of magnitude lower than in P2. In the depinned (P2 and P3) phases, the noise spectrum also reveals well-defined peaks at frequencies that vary linearly with the applied current, suggestive of washboard frequencies. We discuss the data in light of a recent theory that proposes different dynamic phases for a driven WS.

Designing noise-robust quantum networks coexisting in the classical fiber infrastructure.

The scalability of quantum networking will benefit from quantum and classical communications coexisting in shared fibers, the main challenge being spontaneous Raman scattering noise. We investigate the coexistence of multi-channel O-band quantum and C-band classical communications. We characterize multiple narrowband entangled photon pair channels across 1282 nm-1318 nm co-propagating over 48 km of installed standard fiber with record C-band power (>18 dBm) and demonstrate that some quantum-classical wavelength combinations significantly outperform others. We analyze the Raman noise spectrum, optimal wavelength engineering, multi-photon pair emission in entangled photon-classical coexistence, and evaluate the implications for future quantum applications.