matlab-function

该算法是通过计算图像功率谱大小来评价图像的清晰度。清晰的图像功率谱大于模糊图像的功率谱。(The algorithm is derived by calculating the size of the image power spectrum to evaluate the clarity of the image. Clear image power spectrum is greater than the power spectrum of blurred image.)

implmentation of meanshift algorithm use to track object

matlab中计算海洋个参数seawater(seawater,using in matlab)

rg trgdggfbvs eaftrgtrs re gfreg ssgr

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.)

求信号的遍历和速率，随着基站天线数的增加，和速率会变化(counting signal traversal and rate, with the increase of the number of base station antenna, the rate will change )

laplasian code in matlab.

对识别的指纹进行二值化处理，可以让指纹的纹路更清晰。(On binary fingerprint recognition processing, fingerprint patterns can be more clear.)

一篇蛮好的文章，关于MATLAB的仿真和实例说明，包括一些simulink里面的模块说明(A fine article on the MATLAB simulation and examples, including some inside the module that simulink)

盲信号语音分离的程序，基于独立分量的分离程序，若输入两个源信号，则可以输出一组混合信号和分离后的信号(Blind signal speech separation procedure, based on independent component separation procedure, enter the two source signals, the output signal after a group of mixed-signal and separation)