The-sourcecode-of-neural-network

说明：  对采集到的数据进行分析，并有相对的频谱转换，观察频域的信号(On analysis of data collected, and the relative frequency conversion, frequency domain signal observed)

BIDIAG程序是一个对一个超定矩阵双对角化处理的程序。BIDIAG Bidiagonalization of an m-times-n matrix with m >= n(BIDIAG Bidiagonalization of an m-times-n matrix with m >= n)

LNBH25/26 SW control guideline. SW driver for STV0910 and STV0913 NIM.

用于HARVEST的最优控制，本例程基于遗传算法编写。(HARVEST for optimal control, and this routine is written based on genetic algorithms.)

The aim of this short workshop is to demonstrate the effectiveness of the JPEG encoding/decoding process using test data and test images. As explained in the lectures the major elements of the JPEG encoding process are the DCT, the non-uniform Quantisation matrix and variable run-length encoding. Building an emulator of the JPEG encoding and decoding algorithm may appear a daunting task, but Matlab is well suited to such coding.

利用Matlab仿真软件，完成如图1所示的一个基本的数字通信系统。信号源产生0、1等概分布的随机信号，映射到16QAM的星座图上，同时一路信号已经被分成了实部和虚部，后边的处理建立在这两路信号的基础上。实部、虚部信号分别经过平方根升余弦滤波器，再加入高斯白噪声，然后通过匹配滤波器（平方根升余弦滤波器）。最后经过采样，判决，得到0、1信号，同原信号进行比较，给出16QAM数字系统的误码。(Using Matlab simulation software, as shown in Figure 1 to complete a basic digital communications systems. Signal source such as arise over the distribution of 0,1 random signal, is mapped to 16QAM constellation diagram, at the same time all the way the signal has been divided into real and imaginary parts, behind the deal with the establishment of these two signals in the basis. Real part, imaginary part of the signal, respectively, after a square root raised cosine filter, then add white Gaussian noise, and then through the matched filter (square root raised cosine filter). Finally, after sampling, the verdict has been 0,1 signal, to compare with the original signal is given 16QAM digital system error.)

ARCOBJECTs开发指南,实例的资源文件(ARCOBJECTs Development Guide, a resource document for example)

说明：  利用凯泽窗产生FIR滤波器，可以直接使用，不用其它头文件。(err)

部分有关最优控制理论与应用的相关例题程序集(Part of the optimal control theory and application of relevant examples assembly)

基于四阶累积量的多重信号分类算法MUSIC，在matlab环境下实现(Based on fourth-order cumulant multiple signal classification algorithm MUSIC, in the matlab environment to achieve)