APF_ip_iq

The file lib_crc.c contains source code for functions to calculate five commonly used CRC values: CRC-16, CRC-32, CRC-DNP, CRC-SICK, CRC-Kermit and CRC-CCITT. The functions can be freely used.

Matlab Code for simulation of Honey Bee Mating Optimization

雷达信号处理的一个重要过程，脉冲压缩,可以利用匹配滤波的原理对目标进行定位(An important process for radar signal processing, pulse compression, you can use the principle of matched filtering on the target location)

说明：  算法用于锂离子电池，用卡尔曼滤波算法进行状态估计并进行预测(state estimation and estimation)

THIS PROGRAMME IS A SOLUTION OF AN EXERCICE OF THE BOOK OF ROBOTICS OF CRAIG.

matlab开发，在Vs2010里配置matlab调用环境(matlab developer)

用支持向量机svm实现分类与函数回归，其中包括svc程序，svc输出程序以及svr绘图程序(Classification and function regression using support vector machine svm, including svc program, svc output of the program as well as a drawing program svr)

说明：  MATLAB编程 影印本 （美）查普曼（Chapman.S.J）等著 北京，科学出版社，2003 英文原版，matlab学习必备(MATLAB programming photocopy (U.S.) Chapman (Chapman.SJ) Beijing, Science Press, 2003 English original, matlab learning essential)

支持向量机的研究现已成为机器学习领域中的研究热点，其理论基础是Vapnik[3]等提出的统计学习理论。统计学习理论采用结构风险最小化准则，在最小化样本点误差的同时，缩小模型泛化误差的上界，即最小化模型的结构风险，从而提高了模型的泛化能力，这一优点在小样本学习中更为突出。SVM理论正是在这一基础上发展而来的，经过十几年的研究和发展，已开始逐步应用于一些领域。在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势，已经在模式识别、函数逼近和概率密度估计等方面取得了良好的效果。( Support Vector Machine (SVM) is a new machine learning technique in recent years developed based on statistical learning theory (SLT). It wins popularity due to many attractive features and emphatically performance in the fields of nonlinear and high dimensional pattern recognition. The theory and algorithm of SVC is studied at first, then, simulation is to recognize handwritten numeral with the Lib-SVM toolbox. At last, we study the result, which shows that the SVC can do the classification problem with good performance, shorter operation time and is more suitable for real-time implementation.)

用于混沌开发。混沌方式识别的一个matlab程序。十分好用。可以准确预测数据(a very good software which can make more strong and more popular. more good)