CMCRC.ASM is a simple program just to demonstrate how to compute the
CRC-16 and CRC-32 using the crc16_table and crc32_table that were
generated by CRCTABLE.
a Java toolkit for training, testing, and applying Bayesian Network Classifiers. Implemented classifiers have been shown to perform well in a variety of artificial intelligence, machine learning, and data mining applications.
This code was used for making the practical measurements in section 2.3 of my thesis. This Matlab code allows an OFDM signal to be generated based on an input data file. The data can be random data, a grey scale image, a wave file, or any type of file. The generated OFDM signal is stored as a windows wave file, allowing it to be viewed, listened to and manipulated in other programs. The modified wave file can then be decoded by the receiver software to extract the original data. This code was developed for the experiments that I performed in my honours thesis, and thus has not been fully debugged.
This is the original code developed for the thesis and so has several problems with it. The BER performance given by the simulations is infact Symbol Error Rate.
Verilog and VHDL狀態(tài)機設計，英文pdf格式
State machine design techniques for Verilog and VHDL
Abstract : Designing a synchronous finite state Another way of organizing a state machine (FSM) is a common task for a digital logic only one logic block as shown in
engineer. This paper will discuss a variety of issues regarding FSM design using Synopsys Design Compiler . Verilog and VHDL coding styles will be 2.0 Basic HDL coding
presented. Different methodologies will be compared using real-world examples.
This lab exercise will introduce you to the AccelWare IP generators. AccelWare is a library of over fifty IP generators, available in the form of three toolkits that produce synthesizable MATLAB for common MATLAB built in and toolbox functions. Each generator offers macro and micro-architecture selections that allow full customization of the generated model to the target application requirements.
來自澳大利亞Qeensland大學的計算機視覺Matlab工具箱。
This Toolbox provides a number of functions that are useful in computer vision,
machine vision and related areas. It is a somewhat eclectic collection reflecting
the author s personal interest in areas of photometry, photogrammetry, colorimetry. It
covers functions such as image file reading and writing, filtering, segmentation,
feature extraction, camera calibration, camera exterior orientation, display,
color space conversion and blackbody radiators. The Toolbox, combined
with MATLAB and a modern workstation computer, is a useful and convenient
environment for investigation of machine vision algorithms. It is possible to use
MEX files to interface with image acquisition hardware ranging from simple
framegrabbers to Datacube servers.
基于libsvm，開發(fā)的支持向量機圖形界面(初級水平)應用程序，并提供了關于C和sigma的新的參數(shù)選擇方法，使得SVM的使用更加簡單直觀.參考文章 Fast and Efficient Strategies for Model Selection of Gaussian Support Vector Machine 可google之。
