基于纹理的图像检索

用MATLAB实现的心形动画，有助于帮助MATLAB函数的理解(Heart-shaped with a MATLAB implementation of the animation, helping to help the understanding of MATLAB Functions)

fouriers transforms impedance

ppt on meta_material antenna

2ASK信号的正交解调，包括2ASK信号的产生，与本地载波混频，低通滤波，求包络，恢复出原始信号等(the demodulation of 2ASK)

A function to genetare a secuence of states based on the hidden marckov models

1、研究BFSK在加性高斯白噪声信道下（无突发干扰）的误码率性能与信噪比之间的关系； 2、研究BFSK在加性高斯白噪声信道下（有突发干扰）的误码率性能与信噪比之间的关系；分析突发干扰的持续时间对误码率性能的影响。 3、研究BFSK+信道编码（取BCH码和汉明码）在加性高斯白噪声信道下（无突发干扰）的误码率性能与信噪比之间的关系；分析不同码率对误码率性能的影响。比较不同信道编码方式的编码增益性能。 4、研究BFSK+信道编码（取BCH码和汉明码）在加性高斯白噪声信道下（有突发干扰）的误码率性能与信噪比之间的关系；分析突发干扰的持续时间对误码率性能的影响。分析不同码率对误码率性能的影响。比较不同信道编码方式的编码增益性能。 (The relationship between research BFSK in additive white Gaussian noise channel (non-burst interference) bit error rate performance and signal to noise ratio research BFSK in additive white Gaussian noise channel (burst interference The relationship between), bit error rate performance and signal to noise ratio analysis of the duration of the burst interference on the BER performance. The relationship between the 3 the study BFSK+ channel coding (take BCH code and Hamming code) under the additive white Gaussian noise channel (non-burst interference), bit error rate performance and signal to noise ratio analysis of the different rate of bit error rate the impact of the performance. Comparison of different channel coding, coding gain performance. The relationship between the 4 the study BFSK+ channel coding (take BCH code and Hamming code) under the additive white Gaussian noise channel (burst interference), bit error rate performance and signal to noise ratio duration analysis of bu)

三维空间离散点的曲面拟合,以及散点图做法(Three-dimensional surface fitting discrete points, and scatter plots practice)

分类与回归。Matlab的工具箱是围绕一个快速LS-SVM训练和模拟算法。该相应的功能调用可以用于分类以及为函数估计。该功能plotlssvm显示模型的模拟结果，在训练的区域点。(The Matlab toolbox is built around a fast LS-SVM training and simulation algorithm. The corresponding function calls can be used for classification as well as for function estimation. The function plotlssvm displays the simulation results of the model in the region of the training points.)

利用小波变换对跳频信号进行参数估计，包括跳时，跳速，频点(wavelet analysis of frequency hopping signal)

针对“BreastCancer”数据集，作为对比，第一次对特征集直接进行SVM分类，第二次使用粒子群算法进行特征选择后再进行SVM分类。并且对比和分析了两次分类的结果。(For "BreastCancer" data set, as a comparison, the first time the feature set is directly classified by SVM, and the second time the feature set is selected by particle swarm optimization before SVM classification. The results of the two classifications are compared and analyzed.)