Matlab-distanceleast

复杂网络中NW网络的仿真计算，Matlab源码。(Complex network in the NW network simulation, Matlab source code.)

说明：  小波分析理论与Matlab 7实现是一本非常好的学习小波的书籍。(Matlab 7 wavelet analysis theory and implementation is a very good learning wavelet books.)

PDF matlab used for wimax

DOA估计中的Capon方法，写学文论文必用。(DOA estimate of Capon, write theses studies will use.)

matlab information retrieval

fine code about bilinear_zoom i have u will like it

u can calculate DCT clc inp = imread( Im1.jpg ) inp1 = imread( Im2.jpg ) A = double(inp(:,:,1)) B = double(inp1(:,:,1)) A1=double(blkproc(A,[8 8], dct2 )) B1=double(blkproc(B,[8 8], dct2 )) [r,c] = size(A1) r1 = [] for i=1:r for j=1:c if A1(i,j) > B1(i,j) r1(i,j)=A1(i,j) else r1(i,j)=B1(i,j) end end end r1= double(r1(:,:,1)) C=blkproc(r1,[8 8], idct2 ) round(C) C1=idct2(r1) figure imshow(uint8(C)) figure imshow(uint8(C1)) imwrite(uint8(C), dct8x8min.jpg )

基于蒙特卡洛方法的主动声纳信号检测性能分析.主动声纳信号检测性能的分析上,目前在计算机仿真中一般假定混响包络的统计特性符合瑞利分布模型。基于此模型,已经有了较完善的理论。然而,在现代高分辨声纳系统中,混响包络的统计特性并不符合瑞利分布模型。此时在接收机工作特性分析时存在大量繁琐的公式推导。因此该文采用蒙特卡洛(M onte Carlo)统计试验方法,实现对瑞利分布混响背景下的主动声纳信号检测性能分析。结合对接收机工作特性曲线的仿真,得出了检测概率的理论值和仿真结果的误差曲线。误差曲线表明,蒙特卡洛方法在主动声纳信号检测的性能评估中是可行的。 更多还原 (Active sonar signal detection performance analysis, computer simulation is generally assumed that the statistical properties of the reverberation envelope distribution model of Rayleigh active sonar signal detection performance analysis based on the Monte Carlo method. Based on this model, has been a better theory. However, in the modern high-resolution sonar system, the statistical characteristics of the reverberation envelope does not comply with the Rayleigh distribution model. At this point in the receiver operating characteristic analysis, there is a lot of tedious formula derivation. In this paper, using the Monte Carlo (M onte Carlo) statistical test methods, active sonar signal detection performance analysis reverberation background Rayleigh distribution. The receiver operating characteristic curve simulation obtained the error curve of the theoretical value and the simulation results of the detection probability. The error curve shows that the Monte Carlo method in the assessm)

用于仿真牛顿LMS算法(for LMS algorithm simulation Newton)

关于盲辨识方面，讨论关于盲辨识方法所能起到的效果，很好的例子(On blind identification, the discussion of blind identification method that can be played on the effect of good example)