This the OXO example code plus the presentation. It is intended to provide you with some clues about the structure and classes you may need for your second assignment. I have also included the jar file.
GNU Common C++ is a very portable and highly optimized class framework for writing C++ applications that need to use threads and support concurrent sychronization, and that use sockets, XML parsing, object serialization, thread-optimized String and data structure classes, etc. This framework offers a class foundation that hides platform differences from your C++ application so that you need not write platform specific code. GNU Common C++ has been ported to compile nativily on most platforms which support either posix threads, or on maybe be used with Debian hosted mingw32 to build native threading applications for Microsoft Windows.
Accurate estimates of the autocorrelation or power spectrum can be obtained with a parametric model (AR, MA or ARMA). With automatic inference, not only the model parameters but also the model structure are determined from the data. It is assumed that the ARMASA toolbox is presen
An optimal neuron evolution algorithm for the restoration
of linearly distorted images is presented in this paper. The proposed
algorithm is motivated by the symmetric positive-definite quadratic programming
structure inherent in restoration. Theoretical analysis and experimental
results show that the algorithm not only significantly increases
the convergence rate of processing, hut also produces good restoration
results. In addition, the algorithm provides a genuine parallel processing
structure which ensures computationally feasible spatial domain image
restoration
The download includes the kernel source code, and a demo application for EVERY
RTOS port. See http://www.freertos.org/a00017.html for full details of the
directory structure and information on locating the files you require.
The easiest way to use FreeRTOS is start start with one of the demo application
projects. Once this is running the project can be modified to include your own
source files. This way the correct files and compiler options will be
automatically included in your application.
+ The Source directory contains the real time kernel source files for every
port. The kernel itself is only 3 files.
+ The Demo directory contains the demo application source files for every
port.
+ The TraceCon directory contains the trace visualisation exe file.
See the readme files in the respective directories for further information.
Versatile visual servoing without knowledge of true jacobian.pdf cobian matrix estimator.
The Jacobian matrix estimator does not need a priori
knowledge of the kinematic structure and parameters
of the robot system, such as camera and link parameters.
The proposed visual servoing control scheme ensures
the convergence of the image-features to desired
trajectories, by using the estimated Jacobian matrix,
which is proved by the Lyapunov stability theory. To
show the effectiveness of the proposed scheme, simulation
and experimental results are presented.
LCD Driver datasheet
The SPF54126A, a 262144-color System-on-Chip (SoC) driver LSI designed for small and medium sizes of TFT LCD display, is capable of
supporting up to 176xRGBx220 in resolution which can be achieved by the designated RAM for graphic data. The 528-channel source
driver has true 6-bit resolution, which generates 64 Gamma-corrected values by an internal D/A converter. The source driver of
SPFD54126A adopts OP-AMP structure to enhance display quality and it cooperates with advanced circuitry techniques to reduce power
consumption.
迭代自適應Simpson，Lobatto積分
In almost every standard book on numerics quadrature algorithms like the adaptive Simpson or the adaptive Lobatto algorithm are presented in a recursive way. The benefit of the recursive programming is the compact and clear representation. However, recursive quadrature algorithms might be transformed into iterative quadrature algorithms without major modifications in the structure of the algorithm.
We present iterative adaptive quadrature algorithm (adaptiveSimpson and adaptiveLobatto), which preserves the compactness and the clarity of the recursive algorithms (e.g. quad, quadv, and quadl). Our iterative algorithm provides a parallel calculation of the integration function, which leads to tremendous gain in run-time, in general. Our results suggest a general iterative and not a recursive implementation of adaptive quadrature formulas, once the programming language permits parallel access to the integration function. For details the attached PDF file Conrad_08.pdf.
英文版G.729語音壓縮標準。
GENERAL ASPECTS OF DIGITAL TRANSMISSION
SYSTEMS
CODING OF SPEECH AT 8 kbit/s
USING CONJUGATE-structure
ALGEBRAIC-CODE-EXCITED
LINEAR-PREDICTION (CS-ACELP)
