gcc_phat.m

带有visual接口的matlab稀疏表示算法，以及对应的文章(Visual interface with matlab sparse representation algorithm, and the corresponding articles)

密码锁功能，实现报警功能、密码设定、保存密码、开锁设定(shixianmimasuo gongnengbaojing)

实现列主元高斯消去法的方程求解，主要针对压缩和非压缩矩阵(Equation solver to achieve out PCA Gaussian elimination, mainly for compressed and uncompressed matrix)

ebook for learning latex

导体的电感　电容　特性阻抗曲线　的ＭＡＴＬＡＢ模拟(Conductor inductance capacitance characteristic impedance curve of the MATLAB simulation)

根据已知数据拟合多次函数，自行修改数据和次数自动生成拟合函数(According to known data fitting multiple functions modify the number of automatically generated data and fitting function)

针对稀疏圆阵的波达方向估计问题，提出了解相干求根MUSIC算法（Sparse UCA Decorrelation Root-MUSIC，SDR）。通过改进传统的波束变换方法，进行相位校正，并在波束域进行误差补偿，得到具有共轭对称结构的波束域导向矢量。在波束域进行前后向平均处理和使用求根MUSIC算法(In order to solve the direction of arrival estimation of sparse circular arrays, a new understanding of the Sparse UCA Decorrelation Root-MUSIC (SDR) algorithm is proposed. By improving the traditional beam transform method, phase correction, and error compensation in the beam domain, a beam-domain steering vector with a conjugate symmetry structure is obtained. Averaging forward and backward in the beam domain and using the root-finding MUSIC algorithm)

test for modal analysis

调制识别是非协作通信中的关键技术之一，在电子对抗、软件无线电等领域 应用十分广泛。该过程介于信号检测与解调之间，由于对传输信号没有过多的先 验信息以及在接收端有很多未知的参数，例如：信号功率，载波频率和相位偏移， 时间信息等，导致对调制方式的盲识别是一项很困难的任务。此外，实际中存在 多径衰落、频率选择性和时变信道等问题，使得这项任务变得更具有挑战性。 (The modulation recognition is one of the key technologies of the non-cooperative communication, such as electronic countermeasures and software defination radio, therefore it is such a significant discipline and orientation in the research of communication field. Obviously, without enough knowledge in transmitter and verified parameters about receivers, for example signal power, carrier frequency and phase offsets and so force, it is hard to get the modulation of blind identification. What is more, for the sake of the multipath fading, frequency-selective and time-varying channels in the real scenarios the task is even harder. )

Fast Transversal RLS Algorithms with examples using matlab