lkk_esprit

LU分解的过程演示，本人原创，测试无误，内含详细注释。 (LU decomposition procedure demonstrates I originality, test correct, containing detailed notes.)

m序列生成和抽取，Gold码和kasami序列生成，三种序列子相关，互相性能分析等。程序完整，注释清楚，报告详细。(m sequence generation and extraction, Gold codes and kasami sequence generation, all three sub-sequences related to each other performance analysis. Program integrity, comments clear, the report detailed.)

改进前推回代潮流算法，计算潮流，适应强，迭代次数少。(Improved push back the tide before generation algorithms, computing trends, adaptable, less iterations.)

《系统识辨与自适应控制MATLAB仿真(修订版)》程序源代码(Adaptive algorithm matlabb routine code)

偏微分方程的数值解法【matlab例程】经典算法直接应用方便快捷(Numerical Solution of Partial Differential Equations [convenient] classical algorithm matlab routines direct application)

说明：  auv滑模平移运动控制器及其simulink实现(AUV sliding mode translational motion controller and its Simulink implementation)

concerned with the blind identication of bilinear systems excited by higher-order white noise. Un- like prior work that restricted the bilinear system model to simple forms and required the excitation to be Gaussian dis- tributed, the results of this paper are applicable to a more general class of bilinear systems and for the case when the excitation is non-Gaussian. We describe an estimation pro- cedure for the computation of the system parameters using output cumulants of order less than four.

If we have two individually sorted vectors "a" and "b" but they are not sorted with respect to each other and we want to merge them into vector "c" such that "c" is also a sorted vector. Then c=mergesorted(a,b) can be used. (If we have two vectors individually sorted "a" and "b" but they are not sorted with respect t o each other and we want to merge them into vector "c" such that "c" is also a sorted vector. Then c = mergesorted (a, b) can be used.)

RD算法作为SAR处理中最重要的处理算法，在远场近似的条件下，可将二维处理分离为两个一维处理，降低了运算量，成像效果良好。(RD算法作为SAR处理中最重要的处理算法，在远场近似的条件下，可将二维处理分离为两个一维处理，降低了运算量，成像效果良好。 RD algorithm is the most important processing algorithm in processing SAR, in the far field approximation, the two-dimensional separation into two one-dimensional processing, reduces the amount of computation, good imaging effect. )

此程序用提升法实现第二代小波变换 用的是非整数阶小波变换 采用时域实现,步骤先列后行 正变换：分裂，预测，更新； 反变换：更新，预测，合并 只做一层（可以多层，而且每层的预测和更新方程不同）(This procedure achieved by lifting the second generation wavelet transform with a non-integer order wavelet transform time-domain realization of transformation steps, then over are: split, predict, update inverse transform: Update, forecasting, consolidation only a layer of ( can be multi-layer, and each prediction and update equations are different))