Signal Processing Noise

Regular price €341.00
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
A01=Vyacheslav Tuzlukov
advanced signal resolution
Atm
Author_Vyacheslav Tuzlukov
Category=UYS
CRC Press LLC
Dense
detection theory applications
DWDM
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Gaussian noise modeling
Generalize MPLS
generalized signal noise immunity methods
GRP
ILP
measurement precision techniques
Multi-objective Optimization
North
Optical Communication Networks
Optical Networks
OTN
phase structure signals
Primary Path
Protection Paths
SDH
Shortest Path Approach
SOA
SONET
statistical signal analysis
Traffic Grooming
Wavelength Assignment
Wavelength Continuity Constraint
Wavelength Conversion
Wavelength Converters
WDM
WDM Network

Product details

  • ISBN 9780849310256
  • Weight: 1070g
  • Dimensions: 156 x 234mm
  • Publication Date: 29 Apr 2002
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
Secure checkout Fast Shipping Easy returns

Additive and multiplicative noise in the information signal can significantly limit the potential of complex signal processing systems, especially when those systems use signals with complex phase structure. During the last few years this problem has been the focus of much research, and its solution could lead to profound improvements in applications of complex signals and coherent signal processing.

Signal Processing Noise sets forth a generalized approach to signal processing in multiplicative and additive noise that represents a remarkable advance in signal processing and detection theory. This approach extends the boundaries of the noise immunity set by classical and modern signal processing theories, and systems constructed on this basis achieve better detection performance than that of systems currently in use. Featuring the results of the author's own research, the book is filled with examples and applications, and each chapter contains an analysis of recent observations obtained by computer modelling and experiments.

Tables and illustrations clearly show the superiority of the generalized approach over both classical and modern approaches to signal processing noise. Addressing a fundamental problem in complex signal processing systems, this book offers not only theoretical development, but practical recommendations for raising noise immunity in a wide range of applications.

Tuzlukov\, Vyacheslav

More from this author