Introduction to signal processing in peripheral sensory organs
نویسندگان
چکیده
منابع مشابه
An Introduction to Statistical Signal Processing
vs. Concrete It may seem strange that the axioms of probability deal with apparently abstract ideas of measures instead of corresponding physical intuition that the probability tells you something about the fraction of times specific events will occur in a sequence of trials, such as the relative frequency of a pair of dice summing to seven in a sequence of many roles, or a decision algorithm c...
متن کاملA Pragmatic Introduction to Signal Processing
Introduction 2 Signal arithmetic 3 Signals and noise 6 Smoothing 11 Differentiation 17 Resolution enhancement 26 Harmonic analysis 28 Convolution 31 Deconvolution 32 Fourier filter 34 Integration and peak area measurement 35 Linear least-squares curve fitting 37 Multicomponent spectroscopy 49 Non-linear iterative curve fitting 54 Accuracy and precision of peak parameter measurement 58 SPECTRUM ...
متن کاملA Pragmatic Introduction to Signal Processing
Introduction 2 Signal arithmetic 3 Signals and noise 6 Smoothing 11 Differentiation 17 Resolution enhancement 26 Harmonic analysis 28 Convolution 31 Deconvolution 32 Fourier filter 34 Integration and peak area measurement 35 Linear least-squares curve fitting 37 Multicomponent spectroscopy 49 Non-linear iterative curve fitting 54 Accuracy and precision of peak parameter measurement 58 SPECTRUM ...
متن کاملA Pragmatic Introduction to Signal Processing
Introduction 2 Signal arithmetic 3 Signals and noise 6 Smoothing 11 Differentiation 17 Peak Sharpening 26 Harmonic analysis 28 Convolution 31 Deconvolution 32 Fourier filter 34 Integration and peak area measurement 35 Linear least-squares curve fitting 37 Multicomponent spectroscopy 49 Non-linear iterative curve fitting 54 Accuracy and precision of peak parameter measurement 58 SPECTRUM signal ...
متن کاملAn introduction to signal processing for speech∗
The formal tools of signal processing emerged in the mid 20th century when electronics gave us the ability to manipulate signals – time-varying measurements – to extract or rearrange various aspects of interest to us i.e. the information in the signal. The core of traditional signal processing is a way of looking at the signals in terms of sinusoidal components of differing frequencies (the Fou...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Seminars in Cell & Developmental Biology
سال: 2013
ISSN: 1084-9521
DOI: 10.1016/j.semcdb.2012.12.003