This directory builds the miniport driver for Adaptec’s 1540 family of SCSI controllers. This driver exports several functions which are used by SCSIPORT.SYS to issue SCSI requests to the devices attached to the controller, process adapter interrupts, and various other SCSI activities. This driver is also responsible for detecting non-Plug and Play 1540 SCSI controllers—the Plug and Play controllers are detected by the operating system—and for shutting down the controller during device removal or power management operations. This sample also demonstrates the use of the SCSIWMI library to add WMI functionality to SCSI miniports. This library can be linked into a miniport and provides most of the framework needed to expose WMI data blocks to SCSIPORT and the system.
標(biāo)簽： driver This controllers directory
上傳時間： 2016-06-28
上傳用戶：caiiicc
Numerical Computing with MATLAB （by Cleve Moler) is a textbook for an introductory course in numerical methods, Matlab, and technical computing. The emphasis is on in- formed use of mathematical software. We want you learn enough about the mathe- matical functions in Matlab that you will be able to use them correctly, appreciate their limitations, and modify them when necessary to suit your own needs. The topics include * introduction to Matlab, * linear equations, * interpolation, * zero and roots, * least squares, * quadrature, * ordinary di?erential equations, * random numbers, * Fourier analysis, * eigenvalues and singular values, * partial di?erential equations.
標(biāo)簽： introductory Numerical Computing textbook
上傳時間： 2016-07-04
上傳用戶：思琦琦
Toolbox for Numerical Computing with MATLAB （by Cleve Moler). Numerical Computing with MATLAB （by Cleve Moler) is a textbook for an introductory course in numerical methods, Matlab, and technical computing. The emphasis is on in- formed use of mathematical software. We want you learn enough about the mathe- matical functions in Matlab that you will be able to use them correctly, appreciate their limitations, and modify them when necessary to suit your own needs. The topics include * introduction to Matlab, * linear equations, * interpolation, * zero and roots, * least squares, * quadrature, * ordinary di?erential equations, * random numbers, * Fourier analysis, * eigenvalues and singular values, * partial differential equations.
標(biāo)簽： Numerical Computing MATLAB with
上傳時間： 2014-01-01
上傳用戶：guanliya
This is the source code for encryption using the latest AES algorithm. AES algorithm is also called Rijndael algorithm. AES algorithm is recommended for non-classified use by the National Institute of Standards and Technology(NIST), USA. Now-a-days AES is being used for almost all encryption applications all around the world.
標(biāo)簽： algorithm encryption AES the
上傳時間： 2014-01-18
上傳用戶：xc216
Program main BIOS image | | /B - Program Boot Block | | /N - Program NVRAM | | /C - Destroy CMOS checksum | | /E - Program Embedded Controller Block | | /K - Program all non-critical blocks | | /Kn - Program n th non-critical block only(n=0-7) | | /Q - Silent execution | | /REBOOT - Reboot after programming | | /X - Don t Check ROM ID | | /S - Display current system s ROMID | | /Ln - Load CMOS defaults
標(biāo)簽： Program Destroy Block NVRAM
上傳時間： 2016-07-26
上傳用戶：wfl_yy
GNU Octave is a high-level language, primarily intended for numerical computations. It provides a convenient command line interface for solving linear and nonlinear problems numerically.
標(biāo)簽： computations high-level primarily numerical
上傳時間： 2014-01-07
上傳用戶：星仔
this directory contains the following: * The acdc algorithm for finding the approximate general (non-orthogonal) joint diagonalizer (in the direct Least Squares sense) of a set of Hermitian matrices. [acdc.m] * The acdc algorithm for finding the same for a set of Symmetric matrices. [acdc_sym.m](note that for real-valued matrices the Hermitian and Symmetric cases are similar however, in such cases the Hermitian version [acdc.m], rather than the Symmetric version[acdc_sym] is preferable. * A function that finds an initial guess for acdc by applying hard-whitening followed by Cardoso s orthogonal joint diagonalizer. Note that acdc may also be called without an initial guess, in which case the initial guess is set by default to the identity matrix. The m-file includes the joint_diag function (by Cardoso) for performing the orthogonal part. [init4acdc.m]
標(biāo)簽： approximate directory algorithm the
上傳時間： 2014-01-17
上傳用戶：hanli8870
The tca package is a Matlab program that implements the tree-dependent component analysis (TCA) algorithms that extends the independent component analysis (ICA), where instead of looking for a linear transform that makes the data components independent, we are looking for components that can be best fitted in a tree structured graphical model. The TCA model can be applied in any situation where the data can be assumed to have been transformed by an unknown linear transformation.
標(biāo)簽： tree-dependent implements component analysis
上傳時間： 2016-09-17
上傳用戶：cazjing
The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order
標(biāo)簽： identification considered features separati
上傳時間： 2016-09-20
上傳用戶：FreeSky
英文版G.729語音壓縮標(biāo)準(zhǔn)。 GENERAL ASPECTS OF DIGITAL TRANSMISSION SYSTEMS CODING OF SPEECH AT 8 kbit/s USING CONJUGATE-STRUCTURE ALGEBRAIC-CODE-EXCITED LINEAR-PREDICTION (CS-ACELP)
標(biāo)簽： TRANSMISSION GENERAL ASPECTS DIGITAL
上傳時間： 2016-09-29
上傳用戶：15071087253
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