bianma

功能描述：用matlab语言实现LMS自适应算法 函数名：LMS_Algo 输入参数： (1)M:滤波器的阶数 (2)N:LMS算法迭代的次数 (3)mu:自适应参数 (4)xn:LMS算法的输入序列 输出参数： (1)系数矢量A (Function Description: The LMS adaptive algorithm matlab language function name: LMS_Algo Input parameters: (1) M: the order of filter (2) N: LMS algorithm the number of iterations (3 ) mu: adaptive parameters (4) xn: LMS algorithm for the input sequence Output parameters: (1) coefficient vector A )

模型不确定的RBF网络逼近 matlab6.5编写(RBF network model of uncertainty close to the preparation of matlab6.5)

基于LSB的直接4bit替换法，就是直接用秘密图像像素值的高4bit去替换载体图像像素值的低4bit。 (Direct 4bit substitution, that is, the direct use of the secret image pixel values of the high-4bit image pixel value to replace the carrier' s low 4bit.)

说明：  图像处理之Poisson图像融合（含程序，图片）(image fusion of Poisson)

sigma-delta 256倍数字抽取滤波器的matlab设计(matlab design of sigma-delta 256 digital decimation filter )

特征空间方法是现代谱估计的重要方法之一。针对噪声中的复正弦信号的模型，通过特征矢量的方法进行信号空间的分解。通过将信号空间分解为谐波信号空间和噪声信号空间这两个相互正交的空间的方法进行谱估计。Pisarenko,Music,ESPRIT算法都是这一类方法的重要算法。我们通过对不同算法进行比较分析不同算法在各种状况下的表现性能。并针对ESPRIT算法的各种改性和提升进行对比和测试。(Feature space is one of the modern spectral estimation method. Complex sinusoidal signal for the noise model, by the method of the feature vector for the decomposition of the signal space. By decomposition of the signal space to the space harmonic signal and the noise signal space, the method of the two mutually orthogonal spatial spectrum estimation. Pisarenko, MUSIC, ESPRIT algorithm is an important algorithm of this type of method. Different algorithms, our comparative analysis of the performance of different algorithms performance under a variety of conditions. And for a variety of modification and upgrading of the ESPRIT algorithm to compare and test.)

有限元QuadraticBarElement的matlab程序(FEA matlb)

VC++与Matlab混合编程实现图像处理(VC and Matlab Image Processing Mixed Programming)

Visual C++和matlab联合编程的详细代码(Visual C++ And joint programming in detail matlab code)

Histogram Equalization for enhancement of medical image