ofdm_channel_estimation

labview之应用共享变量编程实例及说明，非常详细。-Application of LabVIEW shared variable programming examples and explanations in great detail.

读取4路mic的文件，然后经过gcc——phat处理，形成波束，然后加权之后写入文件。实测该算法降噪的效果还可以.另附一篇降噪文档，比较实用(Four mic files are read, then processed by GCC-PHAT to form a beam, and then written to the file after weighting.)

发个红外线遥控程序上来给大家 让大家一起来学习学习 -Infrared remote control procedures issued up to the U.S. so that everyone will work together to learn

手机游戏：雷电的遗址，画面精彩，运行流畅！-mobile games : lightning sites, wonderful picture, running smooth!

利用PSCAD模擬海底電纜故障分析,利於電力人員做研究參考(Using PSCAD to simulate submarine cable fault analysis)

说明：  一架飞机在海上失事，搜救人员打捞出了该机的黑匣子，技术人员从其中的内存里恢复了一段声音plane.wav，经推断该声音是失事之前最后时刻的数据，设备供应商证实该声音是通过频分复用生成后准备发送出去的，复用的其中一路信号可能含有驾驶员最后发出的指令，现在要求对该声音进行分析，并恢复可能存在的指令，同时能够利用平台实时播放提取的信号。 内含matlab和CCS两份代码(A plane crashed at sea, search and rescue personnel salvaged the black box of the plane, the technician recovered a piece of sound plane.wav from its memory, and it was inferred that the sound was data at the last moment before the crash, and the equipment supplier confirmed the sound It is prepared to be sent out after being generated by frequency division multiplexing. One of the multiplexed signals may contain the last command issued by the driver. Now it is required to analyze the sound and restore the possible instructions. At the same time, the extracted signals can be played in real time using the platform.)

说明：  独立成分分析(Independent Component Analysis，ICA)是近年来提出的非常有效的数据分析工具，它主要用来从混合数据中提取出原始的独立信号。它作为信号分离的一种有效方法而受到广泛的关注。近几年出现了一种快速ICA算法(Fast ICA)，该算法是基于定点递推算法得到的，它对任何类型的数据都适用，同时它的存在对运用ICA分析高维的数据成为可能。又称固定点(Fixed-Point)算法，是由芬兰赫尔辛基大学Hyvärinen等人提出来的。是一种快速寻优迭代算法，与普通的神经网络算法不同的是这种算法采用了批处理的方式，即在每一步迭代中有大量的样本数据参与运算。但是从分布式并行处理的观点看该算法仍可称之为是一种神经网络算法。(Independent component analysis (ICA) is a very effective data analysis tool proposed in recent years. It is mainly used to extract the original independent signals from the mixed data. As an effective method of signal separation, it has been widely concerned. In recent years, a fast ICA algorithm (fast ICA) has appeared. The algorithm is based on the fixed-point recursive algorithm, which is applicable to any type of data. At the same time, its existence makes it possible to use ICA to analyze high-dimensional data. Also known as fixed-point algorithm, it was proposed by HYV & auml; rinen et al. It is a fast optimization iterative algorithm. Different from the common neural network algorithm, this algorithm adopts the way of batch processing, that is, there are a large number of sample data in each iteration. But from the point of view of distributed parallel processing, this algorithm can still be called a neural network algorithm.)

随机有限元程序及算例，有学习价值，用FORTRAN语言写的-Stochastic finite element program and example, have learning value, written in FORTRAN language

说明：  several sorting algorthms

说明：  变步长的LMS自适应滤波算法matlab程序(Matlab program of LMS adaptive filtering algorithm with variable step size)