Thermal noise from optical coatings is a growing area of concern, and overcoming limits
to the sensitivity of high-precision measurements by thermal noise is one of the greatest
challenges faced by experimental physicists.
In this timely book, internationally renowned scientists and engineers examine our
current theoretical and experimental understanding. Beginning with the theory of thermal
noise in mirrors and substrates, subsequent chapters discuss the technology of depositing
coatings and state-of-the-art dielectric coating techniques used in precision measurement.
It is usually assumed that the kind of noise existing in annotated data is random classiﬁcation noise. Yet there is evidence that differences between annotators are not always random attention slips but could result from different biases towards the classiﬁcation categories, at least for the harder-to-decide cases. Under an annotation generation model that takes this into account, there is a hazard that some of the training instances are actually hard cases with unreliable annotations.
Community Response to Road Traffic Noise in Hue City, Vietnam. The research has carried out dose response relationship for general traffic noise annoyance in Hue City by logistic regression method. The dose-response curve in Hue City was slightly lower than that in Da Nang City and much lower than EU’s curve. There was a range of 10.9 to 18.1 dB difference between the two curves at the same percent of high annoyance.
This paper addresses the issue of POS tagger evaluation. Such evaluation is usually performed by comparing the tagger output with a reference test corpus, which is assumed to be error-free. Currently used corpora contain noise which causes the obtained performance to be a distortion of the real value. We analyze to what extent this distortion may invalidate the comparison between taggers or the measure of the improvement given by a new system. The main conclusion is that a more rigorous testing experimentation setting/designing is needed to reliably evaluate and compare tagger accuracies.
The implementation of active pixel based image sensors in CMOS technology is becoming increasingly important for producing imaging systems that can be manufactured with low cost, low power, simple interface, and with good image quality. The major obstacle in the design of CMOS imagers is Fixed Pattern Noise (FPN) and Signal-to-Noise-Ratio (SNR) of the video output.
Ultrasound imaging is considered one of the most powerful techniques for medical diagnosis and is often preferred over other medical imaging modalities because of noninvasive, portable, versatile and low-cost properties (Webb, 2002; Abd-Elmoniem, 2002; Porter, 2001; Shekhar, 2002). A fundamental problem in the field of ultrasound imaging is the speckle noise influence, which is a major limitation on image quality inultrasound imaging.
Lecture Digital image processing: Affine & logical operations, distortions, & noise in images include the following content: Affine operations, logical operators, noise in images, distortions in images.
Linear Prediction Modelling of Speech Linear predictive models are widely used in speech processing applications such as low–bit–rate speech coding in cellular telephony, speech enhancement and speech recognition. Speech is generated by inhaling air into the lungs, and then exhaling it through the vibrating glottis cords and the vocal tract. The random, noise-like, air flow from the lungs is spectrally shaped and amplified by the vibrations of the glottal cords and the resonance of the vocal tract.
Theo em biết chụp phim độ nhậy cao bị noise là do kích thước hạt bạc to - vỡ hạt (noise). Nhưng sao qua Digital thì khi chụp ở ISO cao cũng bị noise trong khi kích thước và mật độ sensor không thay đổi. Bác có thể giải thích cho em cơ chế này với.
Theo em biết chụp phim độ nhậy cao bị noise là do kích thước hạt bạc to vỡ hạt (noise). Nhưng sao qua Digital thì khi chụp ở ISO cao cũng bị noise trong khi kích thước và mật độ sensor không thay đổi. Bác có thể giải thích cho em cơ chế này với. Thanks Bác.
To generate noise from gears the primary cause must be a force
variation which generates a vibration (in the components), which is then
transmitted to the surrounding structure. It is only when the vibration excites
external panels that airborne noise is produced. Inside a normal sealed
gearbox there are high noise levels but this does not usually matter since the
air pressure fluctuations are not powerful enough to excite the gearcase
State-Space Kalman Filters 7.2 Sample-Adaptive Filters
µ α w(m) α
7.3 Recursive Least Square (RLS) Adaptive Filters 7.4 The Steepest-Descent Method 7.5 The LMS Filter 7.6 Summary
daptive filters are used for non-stationary signals and environments, or in applications where a sample-by-sample adaptation of a process or a low processing delay is required.
A wide range of issues related to analysis of gas turbines and their engineering applications are considered in the book. Analytical and experimental methods are employed to identify failures and quantify operating conditions and efficiency of gas turbines. Gas turbine engine defect diagnostic and condition monitoring systems, operating conditions of open gas turbines, reduction of jet mixing noise, recovery of exhaust heat from gas turbines, appropriate materials and coatings, ultra micro gas turbines and applications of gas turbines are discussed.
The second edition of this accessible book provides readers with an introductory treatment of communication theory as applied to the transmission of information-bearing signals. While it covers analog communications, the emphasis is placed on digital technology. It begins by presenting the functional blocks that constitute the transmitter and receiver of a communication system. Readers will next learn about electrical noise and then progress to multiplexing and multiple access techniques.
NOISE AND DISTORTION
2.1 Introduction 2.2 White Noise 2.3 Coloured Noise 2.4 Impulsive Noise 2.5 Transient Noise Pulses 2.6 2.7 2.8 2.9 2.10 Thermal Noise Shot Noise Electromagnetic Noise Channel Distortions Modelling Noise
oise can be defined as an unwanted signal that interferes with the communication or measurement of another signal. A noise itself is a signal that conveys information regarding the source of the noise. For example, the noise from a car engine conveys information regarding the state of the engine.
This volume, based on the proceedings of the Sixth International Symposium on Unsteady Aerodynamics, Aeroacoustics and Aeroelasticity of Turbomachines and Propellers aims at promoting an international exchange of current research in unsteady flow phenomena in turbomachines and propellers.
Tham khảo tài liệu 'adc krone - guide - mitigation techniques to reduce alien crosstalk noise in 10gbe channels', công nghệ thông tin, quản trị mạng phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả
HIDDEN MARKOV MODELS
Statistical Models for Non-Stationary Processes Hidden Markov Models Training Hidden Markov Models Decoding of Signals Using Hidden Markov Models HMM-Based Estimation of Signals in Noise Signal and Noise Model Combination and Decomposition HMM-Based Wiener Filters Summary
idden Markov models (HMMs) are used for the statistical modelling of non-stationary signal processes such as speech signals, image sequences and time-varying noise.
10.1 10.2 10.3 10.4 Introduction Polynomial Interpolation Model-Based Interpolation Summary
nterpolation is the estimation of the unknown, or the lost, samples of a signal using a weighted average of a number of known samples at the neighbourhood points. Interpolators are used in various forms in most signal processing and decision making systems.