Signal source

Xem 1-20 trên 147 kết quả Signal source
  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Computationally Efficient Direction-of-Arrival Estimation Based on Partial A Priori Knowledge of Signal Sources

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  • where A straight forward approach for BSS is to identify the unknown system first and then to apply the inverse of the identified system to the measurement signals in order to restore the signal sources. This approach can lead to problems of instability. Therefore it is desired that the demixing system be estimated based on the observations of mixed signals. The simplest case is the instantaneous mixing in which matrix is a constant matrix with all elements being scalar values.

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  • Global Navigation Satellite System (GNSS) plays a key role in high precision navigation, positioning, timing, and scientific questions related to precise positioning. This is a highly precise, continuous, all-weather, and real-time technique. The book is devoted to presenting recent results and developments in GNSS theory, system, signal, receiver, method, and errors sources, such as multipath effects and atmospheric delays

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  • We propose a two-step inversion of three-component seismograms that ( 1) recovers the far-field source time function at each station and (2) estimates the distribution of co-seismic slip on the fault plane for small earthquakes (magnitude 3 to 4). The empirical Green’s function (EGF) method consists of finding a small earthquake located near the one we wish to study and then performing a deconvolution to remove the path, site, and instrumental effects from the main-event signal.

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  • There are many contents in this document: Digital Signal Processing Research Program, dvanced Telecommunications and Signal Processing Program, Combined Source and Channel Coding for High Definition Televisio.

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  • In this paper, we present results of the study for application of the combination of derivatives of directional analytic signals of the magnetic tensor gradient and maximum horizontal gradient to determine the edges of the sources through the Edge-Detector function (|ED|). Algorithms and programs written in the Matlab language have been used for testing the calculation on 3D models in correlative comparison with the method using the amplitude function of analytic signals.

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  • Quá trình tạo ra tín hiệu như vậy thường liên quan đến một hệ thống, hệ thống này đáp ứng lại một kích thích nào đó. Trong tín hiệu tiếng nói, hệ thống là hệ thống phát âm, gồm môi, răng, lưỡi, dây thanh... Kích thích liên quan đến hệ thống được gọi là nguồn tín hiệu (signal source). Như vậy ta có nguồn tiếng nói, nguồn ảnh và các nguồn tín hiệu khác.

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  • This textbook introduces sparse and redundant representations with a focus on applications in signal and image processing. The theoretical and numerical foundations are tackled before the applications are discussed. Mathematical modeling for signal sources is discussed along with how to use the proper model for tasks such as denoising, restoration, separation, interpolation and extrapolation, compression, sampling, analysis and synthesis, detection, recognition, and more. The presentation is elegant and engaging.

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  • Over the course of roughly a year, after completing my first book, I resurrected an old pet project of building an autonomous submarine (referred to as the E-2 project) with certain fairly challenging functionality requirements. In the course of developing this idea, I spent many hours on the Internet and elsewhere, researching techniques for rapid development of various electromechanical control systems and platforms to run fairly complex signal-processing algorithms.

    pdf255p thachcotran 08-02-2010 111 22   Download

  • Speech separation from noise, given a-priori information, can be viewed as a subspace estimation problem. Some conventional speech enhancement methods are spectral subtraction [1], Wiener filtering [2], blind signal separation [3] and hidden Markov modelling [4]. Hidden Markov Model (HMM) based speech enhancement techniques are related to the problem of performing speech recognition in noisy environments [5,6]. HMM based methods uses a-priori information about both the speech and the noise [4]. Some papers propose HMM speech enhancement techniques applied to stationary noise sources [4,7]....

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  • Human beings are a delightful and complex amalgam of the spiritual, the emotional, the intellectual, and the physical. This is dedicated to all of them; especially to those who honor and nurture me with their friendship and love.

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  • THE recent development of various methods of modulation such as PCM and PPM which exchange bandwidth for signal-to-noise ratio has intensified the interest in a general theory of communication. A basis for such a theory is contained in the important papers of Nyquist1 and Hartley2 on this subject. In the present paper we will extend the theory to include a number of new factors, in particular the effect of noise in the channel, and the savings possible due to the statistical structure of the original message and due to the nature of the final destination of the information....

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  • This book is intended for courses at least at Masters level to provide an introduction to the field of signal processing in telecommunications. The text therefore deals mainly with source coding, channel coding, modulation and demodulation. Adaptive channel equalisation, the signal processing aspects of adaptive antennas as well as multi-user detectors for CDMA are also included. Shorter sections on link budget, synchronising and cryptography are also included. Network aspects are not discussed and very little is given about wave propagation.

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  • Growth and productivity of higher plants are adversely affected by various environmental stresses which are of two main types, biotic and abiotic, depending on the source of stress. Broad range of abiotic stresses includes osmotic stress caused by drought, salinity, high or low temperatures, freezing, or flooding, as well as ionic, nutrient, or metal stresses, and others caused by mechanical factors, light, or radiation.

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  • Sound emission (AE) is one of the most important test non-destructive (NDT) methods of materials, construction and machinery. The sound emission method with most other technical non-destructive testing in two important respects. first of all, the signal source is always located inside the investigated materials / structures. The second important thing is the NDT method to detect geometrical discontinuities, while emission sound motion detection errors.

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  • It is my great pleasure to be an editor for InTech Open Access publisher, one of the most successful Open Access book publishersin the fields of science, technology and medicine. Sensor arrays are used to overcome the limits of simple and/or individual conventional sensors. Obviously, it is more complicated to deal with some issues related to sensor arrays, e.g. signal processing, than the conventional sensors. Some of the issues are addressed in this book, with emphasis on signal...

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  • The processing of signals received by sensor arrays generally can be separated into two problems: (1) detecting the number of sources and (2) isolating and analyzing the signal produced by each source.

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  • I think of myself as an educator rather than an engineer. And it has long seemed to me that, as educators, we should endeavor to bring to the student not only as much information as possible, but we should strive to make that information as accessible as possible, and as inexpensive as possible. The technology of the Internet and the World Wide Web now allows us to virtually give away knowledge! Yet, we don’t, choosing instead to write another conventional text book, and print, sell, and use it in the conventional manner.

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  • Digital images and video, acquired by still cameras, consumer camcorders, or even broadcast-quality video cameras, are usually degraded by some amount of blur and noise. In addition, most electronic camerashavelimitedspatial resolutiondeterminedbythecharacteristicsof thesensorarray. Common causes of blur are out-of-focus, relative motion, and atmospheric turbulence. Noise sources include filmgrain, thermal, electronic, and quantization noise.

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  • This article (see also [1, 2]) considers new methods for multiple electromagnetic source localization using sensors whose output is a vector corresponding to the complete electric andmagneticfields at the sensor. These sensors, which will be called vector sensors, can consist for example of two orthogonal triads of scalar sensors that measure the electric and magnetic field components. Our approach is in contrast to other articles in this chapter that employ sensor arrays in which the output of each sensor is a scalar corresponding, for example, to a scalar function of the electric field....

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