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一维离散分数傅里叶变换 解决分数傅里叶变换的仿真问题(One-dimensional discrete fractional Fourier transform )

copyrite from Mathlab.world , random

说明：  对于已定义的包含从0到15的整数的列向量xsym，就可以利用modem.qammod对象的modulate方法来调制它。其中M值为16，亦即为码字表的大小。 对已调制信号可采用awgn函数添加加性高斯噪声。其中比特能量与噪声功率谱密度的比值，Eb/N0，设置为10dB。 (The method comprising modulate integer from column vectors xsym 0 through 15, can use the defined object modem.qammod modulating it. Wherein M is 16, i.e., a codeword size of the table. Modulated signal can be used for awgn function to add the additive Gaussian noise. Wherein the ratio of bit energy to noise power spectral density, Eb/N0, is set to 10dB.)

PSO小波模糊灰色Kohonen 第23章 小波神经网络的时间序列预测——短时交通流量预测208 第24章 模糊神经网络的预测算法——嘉陵江水质评价218 第25章 广义神经网络的聚类算法——网络入侵聚类229 第26章 粒子群优化算法的寻优算法——非线性函数极值寻优236 (PSO &　Kohonen　ｍａｔｌａｂ)

用matlab实现的结构力学中连续梁求解程序，包括GUI设计、求解算法实现等功能，是一个很好的关于用matlab编程实现科学计算的实例。(using Matlab achieve structural mechanics continuous beam for procedures, including GUI design, algorithm to achieve, and other functions, is a good use of Matlab programming examples of scientific computing.)

computes avg energy n cluster head

最大信噪比的独立分量分析算法，wolf 方法计算李雅普诺夫指数,包括面积、周长、矩形度、伸长度，处理信号的时频分析，迭代自组织数据分析，采用的是通用的平面波展开法。

MATLAB 模糊pid 完成了无人机的模糊pid控制器的设计与仿真 含有文章和仿真(MATLAB FUZZY PID wurenjifangzhen)

图像隐藏和数字水印。采用在空域隐藏，在每个象素的bit位的低位藏入图片。采用在DCT系数上附加信息的方法进行。(image hiding and digital watermarking. Hidden in the airspace used in each pixel of the low bit-into the possession of photographs. Using the DCT coefficient Additional information on the methods.)

This paper review the effectiveness of the parity space approach to identify faults or disturbance in a system. The most commonly used is the observer based procedures, and redundancy relationship method. This involves analytical mathematical analysis of geometry and bilinear algebra. Then, technological advances which require complex computation such as artificial intelligence and genetic algorithm had made tremendous improvement to fault Detection and Isolation (FDI) analysis. Dynamic Parity Space Approach was studied for a discrete state-space model. Important data will be extracted using this approach especially for residual generation which is the backbones of FDI analysis. Subsequently, at each time instant k, the generated residuals will form a matrix that will define the fault signature. It is remarkable that this approach is proven in this study to be effective in diagnosis and faults isolation.