The toolbox solves a variety of approximate modeling problems for linear static models. The model can be parameterized in kernel, image, or input/output form and the approximation criterion, called misfit, is a weighted norm between the given data and data that is consistent with the model. There are three main classes of functions in the toolbox: transformation functions, misfit computation functions, and approximation functions. The approximation functions derive an approximate model from data, the misfit computation functions are used for validation and comparison of models, and the transformation functions are used for deriving one model representation from another.
KEYWORDS: Total least squares, generalized total least squares, software implementation.
This paper provides a rigorous comprehensive approach to the design of the principal software
algorithmsutilized inmodern-day strapdown inertial navigationsystems: integration of angular rate into attitude,
acceleration transformation/integration into velocity, and integration of velocity into position.
The widespread use of embedded systems mandates the development of industrial software design methods, i.e. computer-aided design and engineering of embedded applications using formal models (frameworks) and standardized prefabricated components, much in the same way as in other mature areas of engineering such as mechanical engineering and electronics. These guidelines have been used to develop Component-based Design of Software for Embedded Systems (COMDES). The paper gives an overview of the COMDES framework, followed by a presentation of a generic component types, such as function blocks, activities and function units. The execution of function units is discussed in the context of a newly developed execution model, i.e. timed-multitasking, which has been extended to distributed embedded systems.
With the advent of multimedia, digital signal processing (DSP) of sound has emerged from the shadow of bandwidth-limited speech processing. Today, the main appli- cations of audio DSP are high quality audio coding and the digital generation and manipulation of music signals. They share common research topics including percep- tual measurement techniques and analysis/synthesis methods. Smaller but nonetheless very important topics are hearing aids using signal processing technology and hardware architectures for digital signal processing of audio. In all these areas the last decade has seen a significant amount of application oriented research.
The TMS320C54x, TMS320LC54x, and TMS320VC54x fixed-point, digital signal processor (DSP) families
(hereafter referred to as the ’54x unless otherwise specified) are based on an advanced modified Harvard
architecture that has one program memory bus and three data memory buses. These processors also provide
an arithmetic logic unit (ALU) that has a high degree of parallelism, application-specific hardware logic, on-chip
memory, and additional on-chip peripherals. These DSP families also provide a highly specialized instruction
set, which is the basis of the operational flexibility and speed of these DSPs.
This document defines Version 1.0 of the wire protocol used by management software to
6 monitor the operating status and health of EPCglobal compliant RFID Readers.
This new program targets 10 key academic skills
for TOEFL®
iBT success.
Practice and mastery of these skills can help learners build confidence to communicate successfully in an academic environment.
The XC226x derivatives are high-performance members of the Infineon XC2000 Family
of full-feature single-chip CMOS microcontrollers. These devices extend the functionality
and performance of the C166 Family in terms of instructions (MAC unit), peripherals, and
speed. They combine high CPU performance (up to 80 million instructions per second)
with extended peripheral functionality and enhanced IO capabilities. Optimized
peripherals can be adapted flexibly to meet the application requirements. These
derivatives utilize clock generation via PLL and internal or external clock sources. Onchip
memory modules include program Flash, program RAM, and data RAM.
Quaternions are hypercomplex numbers (that is generalizations of the complex numbers to higher dimensions than two). For an introduction, refer to the Wikipedia article on Quaternions.
Quaternion toolbox for Matlab® extends Matlab® to allow calculation with matrices of quaternions in almost the same way that one calculates with matrices of complex numbers. This is achieved by defining a private type to represent quaternion matrices and overloadings of many standard Matlab® functions. The toolbox supports real and complex quaternions (that is quaternions with four real or complex components).
This a fingerprint identification of the source code, fingerprint... Therefore, use only the GC fingerprint as a sole source identification tool is insufficient. Other...Identification and Differentiation of Spilled Oils by Fingerprint Tracing ...
