计算方法经典算法(弦截法二分法牛顿迭代法龙贝格算法)

资源描述这是用labview写的一个显示奥运五环的程序 喜欢的就拿去吧

IIR带通滤波器设计,提供交互界面,JAVA编写,VJ编译-IIR band-pass filter design, interface, JAVA prepared, VJ compiler

随着数字信号处理理论和算法的发展，多抽样率信号处理在多媒体信号处理领域显得越来越重要。为了减少计算复杂度和存储复杂度，采样速率转换技术是十分必要的，音频重采样算法可以用来实现音频信号任意釆样速率之间的转换。设计了一种音频重采样算法，是基于线性插值的音频重釆样算法，并用这种算法实现了音频信号的重釆样。

用Information Gain构造决策树的方法。 计算各分支的熵 “晴”的分支含2个正例3个反例，所需期望信息量为：         M(天况为晴)＝－2/5 * log2 (2/5)－3/5 * log2 (3/5)　                               ＝　0. 971 bits “多云”的分支，含4个正例0个反例：          M(天况为多云)＝0  “雨”的分支，含３个正例２个反例：           M(天况为雨)＝－3/5 * log2 (3/5)－2/5 * log2 (2/5)　　  

这是我学习《数值分析》所编写的一个程序，用于线性方程组的雅可比求解。-This is my learning "Numerical Analysis" prepared by a procedure for the linear equation for the Jacobian.

平均因子分解法，适用于正定矩阵First, let s recall the definition of the Cholesky decomposition: Given a symmetric positive definite square matrix X, the Cholesky decomposition of X is the factorization X=U U, where U is the square root matrix of X, and satisfies: (1) U U = X (2) U is upper triangular (that is, it has all zeros below the diagonal). It seems that the assumption of positive definiteness is necessary. Actually, it is "positive definite" which guarantees the existence of such kind of decomposition. -Average factor decomposition method applied to positive definite matrix First, let s recall the definition of the Cholesky decomposition: Given a symmetric positive definite square matrix X, the Cholesky decomposition of X is the factorization X = UU, where U is the square root matrix of X, and satisfies: (1) UU = X (2) U is upper triangular (that is, it has all zeros below the diagonal). It seems that the assumption of positive definiteness is necessary. Actually, it is positive

单层胸部CT图片的肺部分割用法

无人机高度基于matlab卡尔曼滤波程序 数据融合-UAV height matlab-based Kalman filter data fusion procedure

贴一个自己写的小波变换的C源代码，用C语言实现-Affixed to a wavelet transform to write the C source code, using C language