GPSsignal_acq

说明：  MIMO系统由于在空间中具有多个发送和接收天线，因此其信道模型也具有其特有的复杂性。尽管具有这种复杂性，对MIMO信道进行建模仍然十分必要。(Because MIMO system has multiple transmit and receive antennas in space, its channel model also has its own complexity. Despite this complexity, it is still necessary to model MIMO channels.)

支持向量增长聚类方法 Support vector growth clustering methods(Growth in Support vector clustering method Support vector growth clustering methods)

ZigBee System 仿真源代码，需要在Matlab的simulink中打开(ZigBee System simulation source code, in Matlab Simulink Open)

OFDM通信系统抗多径衰落干扰研究,顺便求OFDM系统中关于频谱偏移的估计与补偿的，(OFDM communication system of anti-multipath fading interference studies, the way for OFDM systems on the spectrum offset estimation and compensation,)

说明：  对2ask、2psk、2dpsk、2fsk的调制仿真(Modulation simulation of 2ASK, 2PSK, 2DPSK and 2FSK)

说明：  Copula理论及应用实例，主要是用函数计算两个相关变量的相关性，并生产相关性样本(Copula theory and application examples, mainly use function to calculate the correlation of two related variables, and produce correlation samples.)

说明：  读取广播星历（n文件），并计算出卫星的位置(Read the broadcast ephemeris (n file), and calculate the position of the satellite)

说明：  用MATLAB产生线性跳频信号，中心频率和带宽可调(Using MATLAB to generate linear frequency hopping signal with adjustable center frequency and bandwidth)

实现文献‘Fast and robust multiframe super resolution’的仿真，程序中有详细解释，对于多帧超分辨率重建中，退化图像获得，如何进行迭代重建，都有详细说明。(Literature ' Fast and robust multiframe super resolution' simulation, the program explained in detail for the multi-frame super-resolution reconstruction of the degraded image, iterative reconstruction, there are detailed instructions.)

脑电（EEG）是一种反映大脑活动的生物电信号，由于它具有很高的时变敏感性，在采集时极易受到外界的干扰。如眼球运动、眨眼、心电、肌电等都会给真实的脑电信号加入噪声（伪迹）。这些噪声给脑电信号的分析处理带来了很大的困难。从剔除EEG中的各种伪迹到去除噪声的效果评估研究者们都提出了很多方法。本文提出matlab除各种脑电信号伪伪迹减法( As a kind of physiological signals, the Electroencephalogram（EEG）represents the electrical activity of the brain. Because of its higher time-vary sensitivity, EEG is susceptible to many artifacts, such as eye-movements, blinks, cardiac signals, muscle noise. These noises in recording Electroencephalogram（EEG）pose a major embarrassment for EEG interpretation and disposal. A number of methods have been proposed to overcome this problem, ranging from the rejection of various artifacts to the effect estimate of removing artifacts. )