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使用matlab编程实现OFDM的收发一张图片，查看相关性能！(Use matlab programming OFDM transceiver, a picture, view the associated performance!)

运行可实现的lpc matlab编码源代码 (Operation can realize the LPC matlab source code)

bubble migrating code

介绍了一种基于MATLAB的多个特定人连接词语音识别的方法，并提出了在进行端点检测时，引入平均的概念能进一步提高识别率。此设计是以LPCC系数、DTW算法为核心的基于图形界面的设计。(A Based on MATLAB more specific conjunctions speech recognition, and during endpoint detection, the introduction of the concept of average to further improve the recognition rate. This design is based on LPCC coefficients, the DTW algorithm as the core-based graphical interface design.)

辛苦搜集的频谱切换方面的源程序，给大家分享一下(Hard to collect spectral switching of the source, to share with you)

1.IMM.m 主要功能： （1）IMM算法的实现； （2）画出目标轨迹与利用IMM算法跟踪目标的轨迹； （3）画出位置误差与速度误差； （4）画出模型混合概率图。 2.Target_track.m 主要功能： 实现目标轨迹的产生。 3.Model_mix.m 主要功能： 实现IMM算法下，各模型的估计融合。 4.Kalman.m 主要功能： 实现模型的条件滤波，以及似然函数的输出。(1.IMM.m main functions: (1) IMM algorithm implementation (2) Draw the locus and utilization of IMM target tracking algorithm goals (3) shows the position error and speed error Mixed (4) Draw model probability plots. 2.Target_track.m main functions: to produce the target locus. 3.Model_mix.m main functions: IMM algorithm, it is estimated each model integration. 4.Kalman.m main functions: the model filter condition, and it seems natural function of the output.)

在试验中编写程序实现了K均值聚类算法,K均值聚类的原理是：在训练样本中找到C个聚类中心，每个聚类中心代表一个类的中心。然后将样本归类到与其最近的聚类中心的那一类。 C的选择是通过先验知识或经验选取的。聚类中心是通过算法迭代求得的。(In the test preparation process to achieve a K means clustering algorithm, K means clustering principle is: in the training samples to find C a cluster center, each cluster center represents a kind of center. Then the samples are classified to the nearest cluster center with the type. C' s choice is a priori knowledge or experience through the selected. Cluster center is obtained through the iterative algorithm.)

Conversion from ECEF to LLA algorithm developed in matlab

Brodatz Album 库中任取10幅图像，每幅图分成四小块，得到40幅小图像，取其中一幅小图像，对大图中其余三幅小图进行检索(image retrieval)

点目标成像程序，程序简洁，效果较好，具有一定的使用价值(ISAR image)