rbnnet_166

matlab遗传算法工具箱函数及实例讲解，包含matlab遗传算法的基本方法和实例。(matlab genetic algorithm toolbox and examples to explain function, genetic algorithm matlab contains the basic methods and examples.)

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.)

Huffman编码算法的matlab实现(Huffman coding algorithm of matlab)

c编程设计系统软件工具箱的经典代码c Programming software toolbox classic code(c Programming software toolbox classic code)

Moravec corner detection implemented in Matlab

coler design segmentation The result of image segmentation is a set of segments that collectively cover the entire image, or a set of contours extracted the image (see edge detection). Each of the pixels in a region are similar with respect to some characteristic or computed property, such as color, intensity, or texture.

这篇文章主要介绍pocs算法，详细的介绍了pocs的步骤。(pocs ,image super-resolution)

向音频信号加入伪随机序列的的音频水印源码(to the audio signal to the pseudo-random sequence of audio watermarking FOSS)

Spectral Methods in MATLAB - Lloyd N. Trefethen(Spectral Methods in MATLAB- Lloyd N. Trefethen)

一，二，三次拟合，并得到R方的检验。输入任何矩阵，得出险要的值。(One, two, three fitting and get R-square test. Enter any matrix derived advantageous values.)