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matlab小波分析程序，包括回归分析和概率统计，最大信噪比的独立分量分析算法。( matlab wavelet analysis program, Including regression analysis and probability and statistics, SNR largest independent component analysis algorithm.)

说明：  提取信号七个基于瞬时信息的特征：零中心归一化瞬时幅度功率谱密度的最大值,零中心归一化瞬时幅度绝对值的标准偏差，零中心非弱信号段瞬时相位非线性分量绝对值标准偏差，零中心非弱信号段瞬时相位非线性分量标准偏差，零中心归一化的非弱信号段瞬时频率绝对值的标准偏差，一个信号段的归一化瞬时频率功率谱密度的最大值，根据信号 QPSK 和16QAM在 XI 轴投影的不同表现，提出特征参数。(Extraction based on instantaneous information signal of seven characteristics: zero center normalized instantaneous amplitude of the maximum power spectral density, zero-center normalized standard deviation of the instantaneous rate of absolute zero center section of non-weak signal instantaneous phase nonlinear component absolute value of standard deviation, non-zero center section of the weak signal non-linear component of the standard deviation of the instantaneous phase, zero-center non-normalized absolute value of the weak signal section of the standard deviation of the instantaneous frequency of a signal segment of the normalized power spectral density of instantaneous frequency maximum, according to the signal QPSK and 16QAM in the XI-axis projection of the different performance of the proposed characteristic parameters.)

opencv计算机视觉编程攻略源码，一共7章，源代码(Opencv computer vision programming source code, do not need to register abroad to download it.)

说明：  几种准正交空时分组码的性能比较代码 已经调试过(Several quasi-orthogonal STBC Performance Comparison debugging code has been)

包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，esprit算法对有干扰的信号频率进行估计,使用混沌与分形分析的例程。( PV modules contain, MPPT module, BOOST module, inverter module,)

说明：  基于混沌映射的图像加密算法，可实现图像的加密与解密(Image encryption algorithm based on chaotic map which can realize image encryption and decryption)

这是一个功能很强大的源码Easycowbs3407Tointercept_2653View00，同学们可以下载学习用(This is a very powerful source Easycowbs3407Tointercept_2653View00, students can learn with download)

feko入门实例，深入浅出，易于理解，对初学者有很大的帮助(feko entry instance, easy to understand, easy to understand, there is a great help for beginners)

These exercises and projects were originally the even-numbered exercises in the first edition. (The first edition did not distinguish between exercises and programming projects.) For the benefit of readers who have the first edition, the original exercise number is given in square brackets. For example, the notation [was #4] indicates that the number of the exercise (or programming project) was 4 in the first edition. If an answer is different because of second-edition changes, the word "modified" will appear inside the brackets: [was #4; modified].These exercises and projects were originally the even-numbered exercises in the first edition. (The first edition did not distinguish between exercises and programming projects.) For the benefit of readers(These exercises and projects were originally the even-numbered exercises in the first edition. (The first edition did not distinguish between exercises and programming projects.) For the benefit of readers who have the first edition, the original exercise number is given in square brackets. For example, the notation [was #4] indicates that the number of the exercise (or programming project) was 4 in the first edition. If an answer is different because of second-edition changes, the word "modified" will appear inside the brackets: [was #4; modified].)

摘要: 现有的聚类算法比如 CluStream 是基于 k-means 算法的。这些算法不能够发现任 意形状的簇以及不能处理离群点。 解决上述问题,本文提出了 而且, 它需要预先知道 k 值和用户指定的时间窗口。 为了 分将数据映射到一个网格, D-Stream 算法,它是基于密度的算法。这个算法用一个在线部 在离线部分计算网格的密度然后基于密度形成簇。 度衰减技术来捕获数据流的动态变化。 为了探索衰减因子、 数据密度以及簇结构之间的关系, 我们的算法能够有效的并且有效率地实时调整簇。 群点的稀疏网格是合理的, 算法采用了密 而且, 我们用理论证明了移除那些属于离 从而提高了系统的时间和空间效率。 该技术能聚类高速的数据流 而不损失聚类质量。 实验结果表明我们的算法在聚类质量和效率是有独特的优势, 并且能够 发现任意形状的簇,以及能准确地识别实时数据流的演化行为(Abstract: Existing clustering algorithms such as CluStream are based on the k-means algorithm. These algorithms can not be found Meaningful clusters and can not handle outliers. To solve the above problems, this paper presents)