fog-key-advantages

基于MATLAB 的信道编码教学实验软件设计与实现(Channel coding based on MATLAB software design and implementation of the teaching experiment)

卡尔曼在目标跟踪中的应用本文对作匀速运动的二维空中机动目标进行研究，利用交互式多模型方法对雷达目标进行跟踪(target tracking in the application of this uniform motion for the two-dimensional aerial maneuvers goals, use of interactive multi-model approach to tracking radar targets)

人脸识别代码，已经验证通过，matlab写的。该程序有两部分，一部分快速识别，一部分是精确识别(Face recognition code has been verified through, matlab written. The program has two parts, rapid identification, part accurate identification)

gui tutorial methods part 3

一种基于最小均方算法的OFDM信道估计技术(A minimum mean-square algorithm based on the OFDM channel estimation techniques)

这个程序可以实现对鼠标点击处的axes曲线做方框形的放大，可以利用 = ， ， < , > 调整放大倍数和放大的方框大小(This process can be achieved on the mouse to click the Office to do the box-shaped curve axes of amplification, can be used to adjust magnification' =' ,' ' ,' < ' ,' > ' and enlarge the size of the box)

matlab神经网络工具箱介绍，介绍了神经网络工具箱的函数使用(matlab neural network toolbox, the introduced neural network toolbox function of the use of)

实现扩频里随机信号和伪码序列的产生，以及关于生成扩频序列的MATLAB程序，并用载波信号实现2PSK调制,在接收端用非相干积分实现捕获以及虚警概率的计算(Spread spectrum signal generated in the realization and pseudo random code sequence, and generate MATLAB program about spreading sequences and achieve 2PSK modulated carrier signal used to calculate the receiving end with a non-coherent integration to achieve capture and probability of false alarm)

针对非圆信号DOA估计问题,提出了一种基于实值特征值分解 (Eigenvalue decomposition,EVD)的求根MUSIC算法.首先利用非圆信号为实值信号的特点,将阵列上的接收数据及其共轭用欧拉公式转换为实值正弦与 余弦数据,然后将正弦与余弦数据进行串联,从而扩展了数据维数.由于采用实值矩阵的EVD,因此在EVD阶段的运算量简化为复值EVD的1/4.根据 EVD后获得的信号与噪声子空间的特点,对噪声子空间和导向矩阵进行重构以便于可以使用求根MUSIC算法获取对DOA的估计.仿真实验验证了本文算法的 有效性(For the estimation of noncircular signals of DOA, proposes a decomposition value based on real valued features (Eigenvalue decomposition, EVD) the root MUSIC algorithm. Firstly, characteristics of non circular signals for real valued signals, the array data and its conjugate with the Euler formula into real value of sine and cosine and sine and cosine data. The data series, thus expanding the dimension of the data. Because of the use of real valued matrix computation in EVD, so the EVD stage was simplified as a complex valued EVD 1/4. according to the characteristics of signal and noise subspace is obtained after EVD, the noise subspace and orientation matrix reconstruction in order to facilitate the use of DOA can obtain the estimated root MUSIC the algorithm. The simulation results verify the effectiveness of the proposed algorithm)

MODULATOR This function modulate the forward Channel chips. Block Diagram InChips -> [Walsh] -> [Spreading] -> [Output Tx Shaping Filter] Inputs: chips - chips sequence to transmit MFType - Shaping Filter type (default - Rise Cosine) Walsh - Used row of Walsh matrix Outputs: TxOut - Transmitted signal (analog signal) PN - PN sequence for I/Q Channels MF - mathed filter taps (Shaping Filter)