my_lms

用least square的方法解决实际更新就的地理位置数据的matlab代码。给出数据库~但也可以自行添加想要更新的数据库。(Matlab code to solve the actual update on the geographic location data using least square method. Can add no database is given to the database you want to update.)

用matlab实现的白平衡处理算法，以亮度最大值的0.95倍为条件定义白点集合(Processing algorithms using matlab to achieve balance, to 0.95 times the maximum brightness of the white point is defined as the set of conditions)

sar图像成像仿真（包括rd算法，cs算法，rdm算法，内含sinc插值法距离徙动校正）。(-RD algorithm---- SAR point target simulation results is quite good.)

提出了一种新的宽带DOA估计方法:频域子空间正交性测试方法(TOFS:Test of orthogonality of frequency sub- space)。该方法通过同时测试频域信号共同带宽内各频段噪声子空间与阵列流形之间的正交性来进行DOA估计。与宽带相干信号子空间方法不同,TOFS方法不需要任何初始值的预估及聚焦操作。与宽带非相干信号子空间方法也不同,TOFS方法同时测试各频段噪声子空间与阵列流形之间的正交性。本文仿真了TOFS与IMUSIC、CSSM、TOPS的性能比较。仿真结果表明TOFS方法在中等信噪比以上时有较好的性能,且避免了TOPS方法中常出现的伪峰。 (Proposed a new broadband DOA estimation methods: subspace orthogonal frequency domain test methods (TOFS: Test of orthogonality of frequency sub-space). The method by simultaneously testing the frequency domain signal bandwidth of each band noise common sub-orthogonality between space and the array manifold to be DOA estimates. And broadband coherent signal subspace different methods, TOFS method does not require any initial estimate and focusing operation values. And broadband incoherent signal subspace methods are different, TOFS method for simultaneous testing of each band orthogonal noise subspace and the array manifold between. This paper compares the performance TOFS simulation and IMUSIC, CSSM, TOPS is. Simulation results show that the method TOFS better performance when more moderate SNR and spurious peaks TOPS method avoids the often occur.)

说明：  关于MATLAB的一些非常值得应用的经典程序集！(With regard to some very worthy of MATLAB applications classic assembly!)

利用cordic实现开方和atan运算的matlab源码。 本人原创，标准cordic算法。(calculate aquare root and atan by cordic. Matlab m language.)

对于初学matlab的同学会有帮助，IDW距离反比加权方法，一个师兄的毕设。( Matlab for beginner students will help, IDW inverse distance weighting method, A complete set of brothers.)

说明：  4G通信技术综述，分析4G通信的优势及挑战，关键技术(Overview of 4G communications, analyzing the advantages and challenges of 4G communications, key technology)

一个新提出的群智能算法，鸡群优化算法，大家可下载改进。(chicken swarm optimization algorithm)

信号处理的Fast ICA实现进行快速独立分量分析(Fast ICA signal processing to achieve fast independent component analysis)