DigitalImageProcessing-5

code run output for multiple paths for aodv only

用于信号处理的matlab小程序。傅里叶变换和傅里叶逆变换(fft or ifft)

希尔伯特黄变化学习总结，技术文档，含部分matlab代码，希望对大家有帮助(Hilbert Huang change learning summary, technical documentation, containing part of the matlab code, and hope to help everyone)

仿真了点目标运动对传统距离-多谱勒成像结果的影响！(The point target simulation exercise on the traditional range- Doppler imaging )

说明：  《精通MTLAB最优化计算》第11章 整数规划 源码(&quot The most proficient MTLAB Optimization&quot Chapter 11 integer programming source code)

利用保留交叉验证(hold-out)的特征选择，有筛选排序的功能，并最终可以输出对应特征下标。(The use of cross-validation reserved (hold-out) feature selection, there is sort of filtering function, and eventually you can output the corresponding feature subscript.)

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说明：  常规AM调制：画出调制前波形图和频谱图 求已调信号功率、噪声功率等(Conventional AM modulation: Draw modulation waveform and spectrum before seeking modulated signal power, noise power, etc.)

Routine to generate a random postural set for the TRM tube resonance model from Gnuspeech. This routine takes as input k, which is in [0,1]. With 0 the generated posture is linear. With 1 the posture is really discontinous.

针对非圆信号DOA估计问题,提出了一种基于实值特征值分解 (Eigenvalue decomposition,EVD)的求根MUSIC算法.首先利用非圆信号为实值信号的特点,将阵列上的接收数据及其共轭用欧拉公式转换为实值正弦与 余弦数据,然后将正弦与余弦数据进行串联,从而扩展了数据维数.由于采用实值矩阵的EVD,因此在EVD阶段的运算量简化为复值EVD的1/4.根据 EVD后获得的信号与噪声子空间的特点,对噪声子空间和导向矩阵进行重构以便于可以使用求根MUSIC算法获取对DOA的估计.仿真实验验证了本文算法的 有效性(For the estimation of noncircular signals of DOA, proposes a decomposition value based on real valued features (Eigenvalue decomposition, EVD) the root MUSIC algorithm. Firstly, characteristics of non circular signals for real valued signals, the array data and its conjugate with the Euler formula into real value of sine and cosine and sine and cosine data. The data series, thus expanding the dimension of the data. Because of the use of real valued matrix computation in EVD, so the EVD stage was simplified as a complex valued EVD 1/4. according to the characteristics of signal and noise subspace is obtained after EVD, the noise subspace and orientation matrix reconstruction in order to facilitate the use of DOA can obtain the estimated root MUSIC the algorithm. The simulation results verify the effectiveness of the proposed algorithm)