搜索资源列表
2LMSE最小均方误差算法
- 模式识别中关于 LMSE最小均方误差算法 一中算法-pattern recognition on the wan minimum mean square error algorithm an algorithm
K_average
- 模式识别的经典算法之一，动态聚类的k均值算法，采用matlab进行编程，并对分类进行了画图分析。-the classic pattern recognition algorithms, dynamic clustering algorithm k mean using Matlab programming, as well as classification of the class analysis.
C_TEXT
- 一个基于 BIOS 的屏幕开发的 C 语言源程，有点意思，欢迎大家快乐共享-a screen-based BIOS development of C language source way, a little bit mean, we are happy to share happiness! !
回文数
- 打印所有不超过n(取n<256) 的其平方具有对称性质的数(也称回文数)。 *题目分析与算法设计 对于要判断的数n，计算出其平方后(存于a)，将a的每一位进行分解，再按a的从低到高的顺序将其恢复成一个数k(如n=13，则a=169且k=961)，若a等于k则可判定n为回亠数。 -Print all over n (4 admission; 256) with the square of its symmetrical nature of the (also known pal
计算分数的精确值
- 使用数组精确计算M/N(0<M<N<=100)的值。如果M/N是无限循环小数，则计算并输出它的第一循环节，同时要求输出 循环节的起止位置(小数位的序号) *问题分析与算法设计 由于计算机字长的限制，常规的浮点运算都有精度限制，为了得到高精度的计算结果，就必须自行设计实现方法。 为了实现高精度的计算，可将商存放在一维数组中，数组的每个元素存放一位十进制数，即商的第一位存放在第一个元素中，商的第二位存放在第二个元素中....，依次类推。这样就可以使用数组不表示一个高
predict_fun
- 基于均值生成函数时间序列预测算法程序 1. predict_fun.m为主程序 2. timeseries.m和 seriesexpan.m为调用的子程序 -function based on the mean generation time series prediction algorithm for a procedure. Predict_fun.m mainly procedures 2. Timeseries.m seriesexpan.m and called for
MMSE_IC
- 基于LMS(最小均方误差算法)的自适应滤波 基于LMS(最小均方误差算法)的自适应滤波-based on the LMS (MMSE) algorithm based on the LMS adaptive filtering (minimum mean square error algorithm) the adaptive filtering based on the LMS (minimum mean square error algorithm) Adaptive Filter
as31-sdcc231-pj3-win32
- sdcc的win版本.是small device c compiler的意思.支持8051和z80.是一个遵循GPL的软件,不过他的库函数是LGPL的,允许商业联结,可以用在自己的软件里-sdcc version. C is a small device compiler mean. support for 8051 and Z80. following is a GPL software, but the library is LGPL. Allow commercial links, can
RT_exprnd
- Returns a matrix of exponential deviates with parameter mu. This matches the distribution of speckle with a mean of mu.-Returns a matrix of exponential deviates w praxiology parameter mu. This matches the distributio n of speckle with a mean of mu
minimumvar
- 基于最小均方误差准则的LMS算法对淹没在噪声中的信号进行的有效的提取.-based on the minimum mean square error criteria LMS algorithm drowned in the noise signal the effective extraction.
wucha
- 这是我做的一个对输入数据进行误差分析处理的程序,包括求平均值,标准差,极限误差,判断误差类型等-This is what I do on the importation of a data processing error analysis procedures, including for mean, standard deviation, Limit error of judgment error types
minEfilter
- 本压缩包括最小均方滤波器的源码，可以在matlab上直接运行-compression including the minimum mean square filter source can be directly run Matlab
junzhi_fangcha
- 自己编的一个基于VC的求均值和方差平均值的函数-themselves based on a series of the VC for the mean and variance of the average function
KLTLMS
- Karhunen Loeve Least Mean Square Algorithm for mobile communications 3G
william
- 平均值，调和中项，等比中项标准差等数值的计算代码-Arithmetic Mean, Geometric Mean, Harmonic Mean & Standard Deviation
Image_Clust
- Title: Image Clutering K-means and Mean Shift) delphi implemetation Descr iption: This delphi program contains image clustering algorithms K-means and Mean shift. Contains 2 pas file for kmeans and mean shift. by chamika deshan
mean
- 自己做的一个计算均值的verilog代码，一个工程，共大家参考-Own a verilog code to calculate the mean, a project, a total of reference
basic-mean-value-and-mean-square
- basic mean value and mean square
CVI-mean-filtering-applet-image
- CVI图像均值滤波处理，初步实现椒盐噪声的去除效果。-Mean CVI image filtering process, the initial realization of salt and pepper noise removal.
Mean-background-modeling
- 使用均值方法剔除运动前景物体，达到背景建模的效果，此方法前景物体剔除比较干净-The mean value method is used to eliminate the foreground object, which can achieve the effect of background modeling.