time-domain-pitch-detection

路径规划中群蚁优化算法的源代码，可通过修改程序自由设置障碍和地形(Group of ants in the path planning optimization algorithm source code, modify the program free by obstacles and terrain)

设计了一种具有异周期毗邻结构的新型循环前缀,提出了相应的OFDM 频偏估计算法。该异周期毗邻结 构循环前缀由CP1 和CP2 两部分构成,使OFDM 符号具有双周期特征。通过引入较短的CP1 ,牺牲极少的资源, 可以有效克服现有频偏估计方法中的固定频偏估计范围的缺陷,同时具有频偏估计范围大,精度高的特点。(This paper proposes a heter2cycle abutted CP st ructure and a two2step OFDM carrier f requency calibration algorithm. The cyclic prefix of the new cyclic prefix is made up of CP1 and CP2 , which provide the character of double2cycle for OFDM symbol. By int roducing a short CP1 , the proposed algorithm can overcome the defect of fixed f requency off set estimation range in current f requency estimation method , and achieves larger f requency esti2 mation range while obtaining fine f requency calibration.)

matlab实现歌曲最炫民族风的程序，可以移植到DE2_70播放(the matlab songs and most unusual national wind program, can be ported to DE2_70 play)

对接收到得信号进行分离是信号处理过程中经常用到的，然而在完全不知道接受信号先验知识的情况下进行分离就是所谓的盲源分离，此程序就是重多盲源分离算法中比较重要的一种变步长自适应盲源分离算法——EASI(Butt had been received too signal separation is the signal processing is often used, but do not know to accept in full prior knowledge of the signal to separate the case of the so-called blind source separation, this procedure is more emphasis on blind source separation algorithm to compare important type of variable step-size adaptive algorithm for blind source separation- EASI)

说明：  介绍灰色系统的相关知识，有助于提高MATLAB对它的求解(Introduction gray system knowledge, contribute to its solution MATLAB)

全数字调制解调器MATLAB仿真真源代码，超级实用，下载即可使用。 (All-digital modem MATLAB simulation is really the source code, super-practical, can be used to download.)

A Predictive Functional Control Demo.

to help in computer vision ,pattern recognition and machine learning research for grad students in image analysis and computer science works of masters and doctorate

Shift a bit array 3 steps to the right

用matlab做方差分析的几个例程包括：单因素一元方差分析，双因素一元方差分析 非参数方差分析(ANOVA using matlab to do a few routines include: single-factor analysis of variance one yuan, two-factor analysis of variance one yuan non-parametric analysis of variance)