This document was developed under the Standard Hardware and Reliability Program (SHARP) TechnologyIndependent Representation of Electronic Products (TIREP) project. It is intended for use by VHSIC HardwareDescription Language (VHDL) design engineers and is offered as guidance for the development of VHDL modelswhich are compliant with the VHDL Data Item Description (DID DI-EGDS-80811) and which can be providedto manufacturing engineering personnel for the development of production data and the subsequent productionof hardware. Most VHDL modeling performed to date has been concentrated at either the component level orat the conceptual system level. The assembly and sub-assembly levels have been largely disregarded. Under theSHARP TIREP project, an attempt has been made to help close this gap. The TIREP models are based upon lowcomplexity Standard Electronic Modules (SEM) of the format A configuration. Although these modules are quitesimple, it is felt that the lessons learned offer guidance which can readily be applied to a wide range of assemblytypes and complexities.
亞定方程組求解：If serial correlation is found, you may have misspecified your model and
should return to your theory for a better Representation of the data generating
process. This possibility is quite likely and should be taken seriously.
DIGITAL IMAGERY is pervasive in our world today. Consequently,
standards for the efficient Representation and
interchange of digital images are essential. To date, some of
the most successful still image compression standards have resulted
from the ongoing work of the Joint Photographic Experts
Group (JPEG). This group operates under the auspices of Joint
Technical Committee 1, Subcommittee 29, Working Group 1
(JTC 1/SC 29/WG 1), a collaborative effort between the International
Organization for Standardization (ISO) and International
Telecommunication Union Standardization Sector (ITUT).
Both the JPEG [1–3] and JPEG-LS [4–6] standards were
born from the work of the JPEG committee. For the last few
years, the JPEG committee has been working towards the establishment
of a new standard known as JPEG 2000 (i.e., ISO/IEC
15444). The fruits of these labors are now coming to bear, as
JPEG-2000 Part 1 (i.e., ISO/IEC 15444-1 [7]) has recently been
approved as a new international standard.
NXP示例編碼集,Software that is described herein is for illustrative purposes only which
provides customers with programming information regarding the products.
This software is supplied "AS IS" without any warranties. NXP Semiconductors
assumes no responsibility or liability for the use of the software, conveys no
license or title under any patent, copyright, or mask work right to the
product. NXP Semiconductors reserves the right to make changes in the
software without notification. NXP Semiconductors also make no Representation
or warranty that such application will be suitable for the specified use without
further testing or modification.
The information in this publication is believed to be accurate as of its publication date. Such information is subject
to change without notice and The ATM Forum is not responsible for any errors. The ATM Forum does not assume
any responsibility to update or correct any information in this publication. Notwithstanding anything to the
contrary, neither The ATM Forum nor the publisher make any Representation or warranty, expressed or implied,
concerning the completeness, accuracy, or applicability of any information contained in this publication. No
liability of any kind shall be assumed by The ATM Forum or the publisher as a result of reliance upon any
information contained in this publication.
Two functions, num2bin and bin2num are provided. num2bin takes a double and converts it to a binary string Representation. bin2num is its inverse operation. It can be used in a numerical analysis course when floating point arithmetic is discussed.
This lab exercise will introduce you to AccelDSP’s floating- to fixed-point conversion features. AccelDSP will automatically generate a fixed-point Representation of a floating-point design. This process is controllable by using quantize directives.
This handbook presents a thorough overview in 45 chapters from more than 100 renowned experts in the field. It provides the tools to help overcome the problems of video storage, cataloging, and retrieval, by exploring content standardization and other content classification and analysis methods. The challenge of these complex problems make this book a must-have for video database practitioners in the fields of image and video processing, computer vision, multimedia systems, data mining, and many other diverse disciplines. Topics include video segmentation and summarization, archiving and retrieval, and modeling and Representation.
DAGON Approach
Object of this exercise:
Given a subject graph and a set of pattern graph in canonical Representation (2-input
NAND and INV), implement the second step of DAGON approach. (Both the subject
graph and the pattern graphs are trees.)
In this paper, we consider the problem of filtering in relational
hidden Markov models. We present a compact Representation for
such models and an associated logical particle filtering algorithm. Each
particle contains a logical formula that describes a set of states. The
algorithm updates the formulae as new observations are received. Since
a single particle tracks many states, this filter can be more accurate
than a traditional particle filter in high dimensional state spaces, as we
demonstrate in experiments.
