MATFOR FFT Visual Fortran program. MATFOR Extensions, as implied in the name, are data or components external to MATFOR modules that can be used to add versatility to MATFOR programs. Currently there are two types of extensions available with MATFOR, they are MATLAB Interface and Tecplot FileIO. MATLAB Interface, a new feature in MATFOR 4.1, provides MATFOR users access to MATLAB functions so they can obtain functionality that has not been built into MATFOR. The ability of using MATLAB functions makes MATFOR an ideal tool for those who create prototypes using MATLAB, then do implementation in C++ and other programming languages. Through the use of MATFOR, users may perform quick results comparisons between MATLAB and other languages.
標簽： MATFOR Extensions component Fortran
上傳時間： 2013-12-11
上傳用戶：xieguodong1234
一個iscsi實現源碼，值得參考。It is a high-performance, transport independent, multi-platform implementation of RFC3720 iSCSI.
上傳時間： 2016-06-30
上傳用戶：it男一枚
Multirate filters provide a practical approach to designing and implementing finite response (FIR) filters with narrow spectral constraints. By changing the input data rate at one or more intermediate points the filter lengths and computational rates can be greatly reduced when compared to a standard single-rate filter implementation.
標簽： implementing Multirate designing practical
上傳時間： 2016-07-01
上傳用戶：dengzb84
* acousticfeatures.m: Matlab script to generate training and testing files from event timeseries. * afm_mlpatterngen.m: Matlab script to extract feature information from acoustic event timeseries. * extractevents.m: Matlab script to extract event timeseries using the complete run timeseries and the ground truth/label information. * extractfeatures.m: Matlab script to extract feature information from all acoustic and seismic event timeseries for a given run and set of nodes. * sfm_mlpatterngen.m: Matlab script to extract feature information from esmic event timeseries. * ml_train1.m: Matlab script implementation of the Maximum Likelihood Training Module. ?ml_test1.m: Matlab script implementation of the Maximum Likelihood Testing Module. ?knn.m: Matlab script implementation of the k-Nearest Neighbor Classifier Module.
標簽： acousticfeatures timeseries generate training
上傳時間： 2013-12-26
上傳用戶：牛布牛
This project allows you to learn communication systems in greater depth. It contains the Simulink files (*.mdl) which are block design files of various communication systems such as AM, DSB-SC, FM, PLL, Data Acquisition, Digital Data Transmission, PCM and Delta Modulation. The idea here is to implement experiments of a traditional communication lab using Simulink. Most of the block diagrams are self explanatory. More information on the systems and their implementation can be found in the word documents included in the lab directories
標簽： communication Simulink contains project
上傳時間： 2013-12-09
上傳用戶：lz4v4
實現8比特字節的RS糾錯編碼，可以指定極性校驗字節數目，能產生的最大校驗序列長度為255字節（含極性校驗字節）.This is an implementation of a Reed-Solomon code with 8 bit bytes, and a configurable number of parity bytes. The maximum sequence length (codeword) that can be generated is 255 bytes, including parity bytes.
上傳時間： 2016-08-24
上傳用戶：思琦琦
ieee投稿須知，The IEEE Transactions on Information Technology in Biomedicine publishes high quality applications & infrastructure papers that reflect global information technology advances in medicine and biology and will further address the implementation and management of the broad spectrum of health care innovations arising from these developments world-wide
標簽： ieee
上傳時間： 2016-08-29
上傳用戶：zhouli
---- ---- ---- WISHBONE Wishbone_BFM IP Core ---- ---- ---- ---- This file is part of the Wishbone_BFM project ---- ---- http://www.opencores.org/cores/Wishbone_BFM/ ---- ---- ---- ---- Description ---- ---- Implementation of Wishbone_BFM IP core according to ---- ---- Wishbone_BFM IP core specification document.
標簽： Wishbone_BFM WISHBONE Wishbon Core
上傳時間： 2016-09-04
上傳用戶：lanjisu111
This the first release of a free TCP/IP/PPP protocol stack for the uC/OS Real-Time Operating System. As a first release it s still rather rough and very much larger than desired however it is working well in an embedded product and therefore may be useful to others. Much of the code is ported from public sources including BDS Lite and KA9Q (and its derivatives) and carries copyright notices from those sources. Essentially TCP is based on KA9Q but with ideas from BSD, IP is a simple implementation supporting BSD structures, ICMP is ported from BSD, and PPP is ported from the BSD version of the distribution common to BSD, Linux, and many other systems
標簽： Operating Real-Time the protocol
上傳時間： 2016-09-16
上傳用戶：songyue1991
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.
標簽： approximate The modeling problems
上傳時間： 2013-12-20
上傳用戶：15071087253
