An overview of the self-organizing map algorithm, on which the papers in this issue are based, is presented in this article.

The Self-Organizing Map

We explore in this chapter questions of existence and uniqueness for solutions to stochastic differential equations and offer a study of their properties. This endeavor is really a study of diffusion processes. Loosely speaking, the term diffusion is attributed to a Markov process which has continuous sample paths and can be characterized in terms of its infinitesimal generator.

Stochastic Differential Equations

Advanced Mathematical Methods for Scientists and Engineers

The Theory of Stochastic Processes. By D. R. Cox and H. D. Miller. Pp. x, 398. 70s. (Methuen)

Thank you for downloading an introduction to the theory of point processes. As you may know, people have search hundreds times for their chosen novels like this an introduction to the theory of point processes, but end up in infectious downloads. Rather than enjoying a good book with a cup of coffee in the afternoon, instead they juggled with some harmful virus inside their computer. an introduction to the theory of point processes is available in our digital library an online access to it is set as public so you can download it instantly. Our book servers hosts in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the an introduction to the theory of point processes is universally compatible with any devices to read.

An Introduction To The Theory Of Point Processes

This paper presents, on the basis of a rigorous mathematical formulation, a multicomponent sinusoidal model that allows an asymptotically exact reconstruction of nonstationary speech signals, regardless of their duration and without any limitation in the modeling of voiced, unvoiced, and transitional segments. The proposed approach is based on the application of the Hilbert transform to obtain an amplitude signal from which an AM component is extracted by filtering, so that the residue can then be iteratively processed in the same way. This technique permits a multicomponent AM-FM model to be derived in which the number of components (iterations) may be arbitrarily chosen. Additionally, the instantaneous frequencies of these components can be calculated with a given accuracy by segmentation of the phase signals. The validity of the proposed approach has been proven by some applications to both synthetic signals and natural speech. Several comparisons show how this approach almost always has a higher performance than that obtained by current best practices, and does not need the complex filter optimizations required by other techniques

Multicomponent AM–FM Representations: An Asymptotically Exact Approach

The concept of a SOC platform architecture introduces the concept of a communication infrastructure. In the transaction-level a finite set of architecture components (memories, arithmetic units, address generators, caches, etc) communicate among each other over shared resources (buses). Until recently, modeling architectures required pin-level hardware descriptions, typically coded in RTL. Great effort is required to design and verify the models, and simulation at this level of detail is tediously slow. Transaction level modeling is the solution. Transaction level models (TLMs) effectively create an executable platform model that simulates orders of magnitude faster than a RTL model. In this paper, we present a SystemC 2.0 TLM of the AMBA architecture developed by ARM, oriented to SOC platform architectures.

/pdf/transaction-level-models-for-amba-bus-architecture-using-2bi9uzhtvo.pdf

Transaction-Level Models for AMBA Bus Architecture Using SystemC 2.0

The proposed approach, which considers the MOS transistor as a four-terminal device and takes into account short-channel effects, has been implemented in the circuit simulator SPICE. It is shown that the results predicted from this CAD-oriented approach are in good agreement with those achievable with a numerical procedure. It is also found that, using the new model in SPICE, the evaluation of transients in some high-precision circuits gives results significantly different from those expected from standard quasi-static formulations.

A CAD-oriented non-quasi-static approach for the transient analysis of MOS ICs

The concept of a SOC platform architecture introduces the concept of a communication infrastructure. In the transaction-level, a finite set of architecture components (memories, arithmetic units, address generators, caches, etc) communicate among each other over shared resources (buses). Until recently, modeling architectures required pin-level hardware descriptions, typically coded in RTL. Great effort is required to design and verify the models, and simulation at this level of detail is tediously slow. Transaction level modeling is the solution. Transaction level models (TLMs) effectively create an executable platform model that simulates orders of magnitude faster than a RTL model.

Transaction-level models for AMBA bus architecture using SystemC 2.0 [SOC applications]

The human activity monitoring technology is one of the most important technologies for ambient assisted living, surveillance-based security, sport and fitness activities, healthcare of elderly people. The activity monitoring is performed in two steps: the acquisition of body signals and the classification of activities being performed. This paper presents a low-cost wearable wireless system specifically designed to acquire surface electromyography (sEMG) and accelerometer signals for monitoring the human activity when performing sport and fitness activities, as well as in healthcare applications. The proposed system consists of several ultralight wireless sensing nodes that are able to acquire, process and efficiently transmit the motion-related (biological and accelerometer) body signals to one or more base stations through a 2.4 GHz radio link using an ad-hoc communication protocol designed on top of the IEEE 802.15.4 physical layer. A user interface software for viewing, recording, and analysing the data was implemented on a control personal computer that is connected through a USB link to the base stations. To demonstrate the capability of the system of detecting the user’s activity, data recorded from a few subjects were used to train and test an automatic classifier for recognizing the type of exercise being performed. The system was tested on four different exercises performed by three people, the automatic classifier achieved an overall accuracy of 85.7% combining the features extracted from acceleration and sEMG signals. A low cost wireless system for the acquisition of sEMG and accelerometer signals has been presented for healthcare and fitness applications. The system consists of wearable sensing nodes that wirelessly transmit the biological and accelerometer signals to one or more base stations. The signals so acquired will be combined and processed in order to detect, monitor and recognize human activities.

/pdf/human-activity-monitoring-system-based-on-wearable-semg-and-2fgveg8ohb.pdf

Claudio Turchetti

Papers

Multicomponent AM–FM Representations: An Asymptotically Exact Approach

Transaction-Level Models for AMBA Bus Architecture Using SystemC 2.0

A CAD-oriented non-quasi-static approach for the transient analysis of MOS ICs

Transaction-level models for AMBA bus architecture using SystemC 2.0 [SOC applications]

Human activity monitoring system based on wearable sEMG and accelerometer wireless sensor nodes