scispace - formally typeset
Search or ask a question

Answers from top 15 papers

More filters
Papers (15)Insight
I show that a larger output signal-to-noise ratio is possible if I cross-correlate with a reference signal that is different from the transmitted signal, and I justify my results by showing how the ambiguity diagram for a chaos-based signal can be different than the ambiguity diagram for a noise signal.
This smaller signal‐to‐noise ratio obtained with the narrow band of noise is probably due to “beats,” since the test tone is heard as ...
A rough estimate indicates that purely thermal noise is probably not quite strong enough to fit the data.
To reduce the input-referred noise, we propose a low-noise frontend design with multiple novel noise suppression techniques.
This noise feature can be exploited to optimize the array geometry with respect to signal-to-noise ratio.
Without using any pilot signal or sync bit, the new algorithm is able to implement synchronization and frequency estimation at the same time.
This new method combines conventional noise jamming with smart noise jamming.
It is demonstrated how this artifact is actually eliminated without bringing distortion to the recorded signal even if the noise is only poorly stationary.
Mobi-Sync effectively utilizes the spatial correlation of underwater mobile sensor nodes to estimate the long and dynamic propagation delays.
Finally, the proposed noise estimator can be combined with any hearing aid noise reduction technique, where the accuracy of the noise estimation can be critical to achieve a satisfactory de-noising performance.
Simulation results show that Mobi-Sync outperforms existing schemes in both accuracy and energy efficiency.
It is shown how this technique can be effectively used in the analysis of noise-induced crisis bifurcation of merging chaotic bands.
The sync exploring method proposed in this paper, together with sync indexes, were applied to a two area system and the KEPCO system to confirm that it is possible to search for the sync phenomenon in signals of large scale power systems.
Our experiments show that Sync Checker detects all the evaluated synchronization errors and provides helpful diagnostic information.
Examples illustrating the relationship between mutual coupling and noise correlation demonstrate how different noise sources may impact performance in profoundly different ways.

See what other people are reading

What kind of oceantic research investigation has been done?
4 answers
How does DNA coding help in image encryption?
4 answers
What are non-normal complex networks?
5 answers
Can the improvement in ANN performance during testing be attributed to overfitting or underfitting?
5 answers
Can the improvement in ANN performance during testing be attributed to overfitting or underfitting?
5 answers
Does constant motion uncertainty in Kalman Filter effect proximity estimation?
4 answers
How has the impact of technology on memory retention and recall been studied in research?
5 answers
Research has explored the impact of technology on memory retention and recall through various approaches. One study introduced a smartphone application, iWitnessed, to enhance eyewitness memory immediately after an event, showing increased correct information without compromising accuracy. Another perspective suggests that human memories may be encoded by cycles in neural networks, retrievable through feedback controls triggered by cues. Additionally, a study on school-aged children found no significant correlation between time spent on technology and visual/auditory memory scores, but did note differences in mean scores between auditory and visual memory assessments. The digital age has also shifted memory practices, with people relying more on digital devices and the Internet for learning and remembering, impacting transactive memory, cognitive offloading, and learning processes.
Can statistical methods be combined with other encryption techniques to improve the security of digital images?
4 answers
Statistical methods can indeed be combined with other encryption techniques to enhance the security of digital images. For instance, a hybrid approach integrating chaotic encryption and wavelet-based compression has been proposed to secure images efficiently while reducing storage space and transmission time. Additionally, combining the RSA algorithm with Chaos-based encryption can provide advanced encryption, offering both speed and high security levels. Moreover, a dual security approach utilizing chaotic map scrambling and singular-value decomposition has been suggested for image encryption, demonstrating promising security qualities against various attacks. By integrating statistical methods with encryption techniques like chaotic encryption and compression, a comprehensive and robust security framework can be established to safeguard digital images effectively.
How does Planck CMB convert the dipole in a velocity?
5 answers
Planck CMB converts the dipole into a velocity by measuring the Doppler and aberration effects induced by our peculiar velocity relative to the CMB rest frame. The motion of the observer causes distortions in the CMB anisotropies at various scales due to aberration and Doppler effects. By independently measuring these effects and removing spurious contributions, Planck provides constraints on the intrinsic CMB dipole, allowing for the estimation of the peculiar velocity of the Solar System. The measured values are consistent with the hypothesis that the CMB dipole is primarily a result of our peculiar velocity. Additionally, the motion of the observation frame with respect to the CMB rest frame leads to statistical anisotropy in higher multipoles, further confirming the connection between the CMB dipole and our local motion.
What research has been done on the static and dynamic response of graphene origami-enabled composite rectangular or circular plates?
5 answers
Research has been conducted on the static and dynamic responses of composite plates incorporating graphene-based materials. Studies have explored the nonlinear static bending and dynamic transient behaviors of sandwich microplates with graphene nanocomposite face sheets and a porous core layer, showing reductions in deflections and dynamic amplitudes with increased material length scale and graphene volume fraction. Additionally, investigations into functionally graded porous nanocomposite plates reinforced with graphene platelets have been carried out, focusing on dynamic and chaotic characteristics using Halpin–Tsai micromechanical models. Furthermore, research on graphene-reinforced piezoelectric composite plates has been conducted, considering flexoelectric effects and various loading conditions to enhance static deflection and resonant frequency responses. These studies collectively contribute to understanding the behavior of graphene-enabled composite plates under static and dynamic conditions.
What significance do data-based models (LSTM) have for complex physical systems?
5 answers
Data-based models like Long Short-Term Memory (LSTM) neural networks hold significant importance for complex physical systems. LSTM networks have been successfully applied in various studies to predict vibration responses of structures under random excitation, forecast solar energy output for grid sustainability, and simulate complex dynamical systems without explicit equation models. These models offer the capability to learn intricate system behaviors, generate large quantities of data efficiently, and enhance predictions by integrating physics-based models with data-driven approaches. LSTM networks demonstrate potential in accurately predicting system responses, even in chaotic scenarios, showcasing their versatility and effectiveness in handling complex dynamics and enabling advancements in fields like ultrafast optics, renewable energy forecasting, and structural dynamics modeling.