Helmholtz

SVC(Support Vector Clustering)ToolBox，支持向量聚类所需要数据文件，ring，作者为 daewon lee(dataset for SVC(Support Vector Clustering)ToolBox，ring，prosed by daewon lee)

地震射线追踪、走时曲线以及地震记录正演模拟、去噪等程序。(Seismic ray tracing, travel time curves and forward modeling of seismic records, de-noising and other procedures.)

Simulation if the MIMO OFDM with frequency offset and multhipath channel

基于xilinx的cfr3.0核的仿真模型文件，对研究cfr对各种制式的信号的肖峰有不错的参考价值(The simulation model based on xilinx cfr3.0 nuclear file, studying the signal of the CFR of various formats XiaoFeng has good reference value)

说明：  matlab信号调制与解调方面的书 我自己看了一遍 感觉还不错(matlab signal modulation and demodulation aspects of the book I read it again I feel pretty good)

用matlab做的多元线形回归预测的小程序，抱愧数据，可以运行。(using Matlab do multiple linear regression forecast a small procedure, feel ashamed of data, can run.)

IEEE 802.11a-1999 or 802.11a was an amendment to the IEEE 802.11 wireless local network specifications that defined requirements for an orthogonal frequency division multiplexing (OFDM) communication system. It was originally designed to support wireless communication in the unlicensed national information infrastructure (U-NII) bands (in the 5–6 GHz frequency range) as regulated in the United States by the Code of Federal Regulations, Title 47, Section 15.407.

针对MUSIC算法在进行信号波达方向(DOA)估计时谱峰搜索运算量大的问题,提出了一种基于FFT多波束算法与MUSIC算法的联合DOA估计方法。该方法采用FFT多波束算法形成多个波束,近似估计信号DOA,获得对应波束指向,再利用MUSIC算法实现对信号DOA的精确估计。这样就只需在该波束指向对应的空域范围内搜索,减小了DOA估计的运算量。(MUSIC algorithm for performing signal DOA (DOA) estimates peak search operation when big problem, a joint DOA estimation method based on FFT algorithm and multi-beam MUSIC algorithm. The method uses FFT algorithm for multi-beam forming multiple beams, approximate estimate signal DOA, obtain the corresponding beam pointing, reuse MUSIC algorithm for accurate estimation of the signal DOA. This will only search within the beam direction corresponding airspace, reducing the amount of computation DOA estimates.)

获取已知输入信号的上、下包络的matlab程序(ENVELOPE gets the data of upper and down envelope of the known input signal)

image compression with neural network