The book is an edited collection of research articles covering the current state of sonar systems, the signal processing methods and their applications prepared by experts in the field. The first section is dedicated to the theory and applications of innovative synthetic aperture, interferometric, multistatic sonars and modeling and simulation.
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: Research Article Frequency-Domain Block Signal Detection with QRM-MLD for Training Sequence-Aided Single-Carrier Transmission
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: Adaptive primary user’s signal detection algorithm based on matrix accumulation estimation for cognitive radio
Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Conserved positive selection signals in gp41 across multiple subtypes and difference in selection signals detectable in gp41 sequences sampled during acute and chronic HIV-1 subtype C infection
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: Research Article Joint Signal Detection and Classiﬁcation Based on First-Order Cyclostationarity For Cognitive Radios
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: Research Article Spectral Correlation of Multicarrier Modulated Signals and Its Application for Signal Detection
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.
Digital Signal Processing (DSP) is formally defined as a digital operation performed on an input sequence of numbers
(including feedback from the result of the digital operation). The sequence of numbers can represent anything from
digitised human speech to stock price data, processed to detect hidden periodicities or pattern
Detection and classification arise in signal processing problems whenever a decision is to be made
among a finite number of hypotheses concerning an observed waveform. Signal detection algorithms
decide whether the waveform consists of “noise alone” or “signal masked by noise.” Signal
classification algorithms decide whether a detected signal belongs to one or another of prespecified
classes of signals. The objective of signal detection and classification theory is to specify systematic
strategies for designing algorithms which minimize the average number of decision errors.
It is a great honor and pleasure for me to introduce this book “Applications of Digital
Signal Processing” being published by InTech. The field of digital signal processing is
at the heart of communications, biomedicine, defense applications, and so on. The field
has experienced an explosive growth from its origins, with huge advances both in
fundamental research and applications.
Linear parametric models of stationary random processes, whether signal or noise, have been found to be useful in a wide variety of signal processing tasks such as signal detection, estimation, ﬁltering, and classiﬁcation, and in a wide variety of applications such as digital
Cells respond to environmental cues through a complex and dynamic
network of signaling pathways that normally maintain a critical balance
between cellular proliferation, differentiation, senescence, and death. One
current research challenge is to identify those aberrations in signal transduction
that directly contribute to a loss of this division-limited equilibrium and
the progression to malignant transformation. The study of cell-signaling molecules
in this context is a central component of cancer research.
This volume describes the essential tools and techniques of statistical signal processing. At every stage, theoretical ideas are linked to specific applications in communications and signal processing. The book begins with an overview of basic probability, random objects, expectation, and second-order moment theory, followed by a wide variety of examples of the most popular random process models and their basic uses and properties.
As the origin of a life-and-death signal detected from systemic arterial pressure, which sequentially increases (pro-life) and decreases (pro-death) to reflect progressive dysfunction of central cardiovascular regulation during the advancement towards brain stem death in critically ill patients, the rostral ventrolateral medulla (RVLM) is a suitable neural substrate for mechanistic delineation of this fatal phenomenon.
The hypothesis thatL-glutamate (Glu) is an excitatory
amino acid neurotransmitter in the mammalian central
nervous system is now gaining more support after the suc-cessful cloning of a number of genes coding for the signaling
machinery required for this neurocrine at synapses in the
brain. These include Glu receptors (signal detection), Glu
transporters (signal termination) and vesicular Glu trans-porters (signal output through exocytotic release).
Interpreting fully natural speech is an important goal for spoken language understanding systems. However, while corpus studies have shown that about 10% of spontaneous utterances contain self-corrections, or REPAIRS, little is known about the extent to which cues in the speech signal may facilitate repair processing. We identify several cues based on acoustic and prosodic analysis of repairs in a corpus of spontaneous speech, and propose methods for exploiting these cues to detect and correct repairs.
A Mobile-Cloud Pedestrian Crossing Guide for the Blind includes about Attempts to Solve the Traffic Lights Detection Problem, System Components, Multi-cue Signal Detection Algorithm - A Conservative Approach and something else.