Results 211 to 220 of about 781,672 (265)
Some of the next articles are maybe not open access.
Differentiation of Discrete Multidimensional Signals
IEEE Transactions on Image Processing, 2004We describe the design of finite-size linear-phase separable kernels for differentiation of discrete multidimensional signals. The problem is formulated as an optimization of the rotation-invariance of the gradient operator, which results in a simultaneous constraint on a set of one-dimensional low-pass prefilter and differentiator filters up to the ...
Hany Farid, Eero P. Simoncelli
openaire +2 more sources
Numerical differentiation with noisy signal
Applied Mathematics and Computation, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
F. Jauberteau, J. L. Jauberteau
openaire +2 more sources
Axonal Signals and Oligodendrocyte Differentiation
Neurochemical Research, 2004Axons produce signals that regulate oligodendrocyte proliferation, survival, terminal differentiation, and myelinogenesis. We review here recent in vitro and in vivo experimental approaches that aim to characterize axonal signals to oligodendroglia and to identify molecular mediators that regulate differentiation of oligodendendrocytes. We propose that
Maura, Bozzali, Lawrence, Wrabetz
openaire +2 more sources
Signaling complexes for postsynaptic differentiation
Journal of Neurocytology, 2003The receptor tyrosine kinase MuSK is activated by agrin, an extracellular matrix protein believed to be utilized by motoneurons to regulate the formation or maintenance of the neuromuscular junction (NMJ). Recent studies have shed light on intracellular signaling mechanisms downstream of MuSK.
Zhenge, Luo +5 more
openaire +2 more sources
FIR differentiators for quantized signals
IEEE Transactions on Signal Processing, 2001The impact of quantization noise on a signal whose rate is to be estimated using a FIR differentiator is analyzed, concentrating on the important constant-rate case in order that the filter be optimized for systems with low-frequency rates of change.
openaire +1 more source
Endocannabinoid signaling and epidermal differentiation
European Journal of Dermatology, 2011Endocannabinoids represent a class of endogenous lipid mediators, that are involved in various biological processes, both centrally and peripherally. The prototype member of this group of compounds, anandamide, regulates cell growth, differentiation and death; this holds true also in the skin, that is the largest organ of the body constantly exposed to
Pucci M +3 more
openaire +3 more sources
Wnt Signaling and Cardiac Differentiation
2012The Wnt family of secreted glycoproteins participates in a wide array of biological processes, including cellular differentiation, proliferation, survival, apoptosis, adhesion, angiogenesis, hypertrophy, and aging. The canonical Wnt signaling primarily utilizes β-catenin-mediated activation of transcription, while the noncanonical mechanisms involve a ...
Michael P, Flaherty +2 more
openaire +2 more sources
A Differentiator for Low-Frequency Signals
IEEE Transactions on Biomedical Engineering, 1978An electronic differentiator specifically for low-frequency signals is described. The difference between a signal and its staircase approximation is computed; the peaks of this function approximate the time derivative of the input signal. By regulating the width of the steps in the staircase function, very slow signals can be differentiated.
openaire +2 more sources
Generalized Differential Vector Signaling
2009 IEEE International Conference on Communications, 2009Binary NRZ signaling over single ended or fully differential parallel wired channels is commonly used for chip-to-chip communications. This paper presents differential vector signaling as a generalized new class of signaling for parallel wired links.
openaire +1 more source
A Technique for Multiple Signal Differentiation
Computational Mathematics and Modeling, 2001The construction of differentiators is reduced to the design of a state observer for a dynamical system with an unknown bounded input. The author considers differentiators which ensure asymptotically exact multiple differentiation of signals from a given class.
openaire +1 more source

