Discrete wavelet transform (DWT) algorithms have become standard tools for discrete-time signal and image processing in several areas in research and industry. As DWT provides both frequency and location information of the analyzed signal, it is constantly used to solve and treat more and more advanced problems. The present book: Discrete Wavelet Transforms: Theory and Applications describes the latest progress in DWT analysis in non-stationary signal processing, multi-scale image enhancement as well as in biomedical and industrial applications....
The recent wide diffusion of (i) easy-to-use software tools for the implementation of
Graphical User Interfaces (GUIs); and (ii) communication-oriented instrumentation,
often provided with Ethernet interface, in addition to the more traditional GPIB and
RS-232 ones, can be particularly exploited in the field of measurement teaching. It is
well known, in fact, that for a better understanding of the teaching issues in such a
field, the students have to practice with real instrumentation. The computer-based
simulations are often inadequate to assure a good experience in that direction.
Tuyển tập các báo cáo nghiên cứu khoa học ngành toán học được đăng trên tạp chí toán học quốc tế đề tài: Dereverberation and denoising based on generalized spectral subtraction by multi-channel LMS algorithm using a small-scale microphone array
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: Dereverberation and denoising based on generalized spectral subtraction by multi-channel LMS algorithm using a small-scale microphone array
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 Iterative Estimation Algorithms Using Conjugate Function Lower Bound and Minorization-Maximization with Applications in Image Denoising
Moreover, the concept of \multimedia social networks" can be applied into
the ¯eld of signal and image processing. Although there are seemingly no human
factors involved in the algorithmic solution in classical signal/image processing, if
we take the view that the pixels/signals of an image are forming a notion of a
\social network" to jointly interact to accomplish a common (\processing") goal,
be it ¯ltering, denoising, or segmentation, then the game theoretic approach can
o®er new views beyond what classical methods can.