Hot Search : Source embeded web remote control p2p game More...
Location : Home Search - entropy data
Search - entropy data - List
DL : 0
灰熵.txte0=[25 7 10 120] %确定理想对象 e=[26.5 6.7 9.3 112 29.3 5.9 8.8 115 28.6 5.4 7.6 98] %评价对象的实际值 e1=[26.5 6.7 9.3 112] %甲 e2=[29.3 5.9 8.8 115] %乙 e3=[28.6 5.4 7.6 98] %丙 e=[e1 e2 e3] v0=[1 1 1 1] %数据预处理-Gray entropy. Txte0 = [25 7 10 120] to identify the ideal targets of e = [26.5 6.7 9.3 112 29.3 5.9 8.8 115 28.6 5.4 7.6 98] of the actual value of the evaluation object e1 = [26.5 6.7 9.3 112] A e2 = [ 29.3 5.9 8.8 115] B e3 = [28.6 5.4 7.6 98] C e = [e1 e2 e3] v0 = [1 1 1 1] Data Preprocessing
Date : 2025-12-26 Size : 1kb User : caiweihua

JPEG 静态图像压缩 各文件功能说明如下: 1) JPEG压缩程序:gendat.exe 2) 为压缩后的数据加上JPEG文件头的程序genjpg.exe 3) 解JEPG压缩程序extrdat.exe 其中:(1)的输入参量是需要生成的压缩文件的名字。 主程序流程为: a) 程序初始化,读取文件名称、原始图像数据等基本数据; b) 从AC.TAB和DC.TAB两个文件生成AC表和DC表,存入数组 c) 以8×8为样本单位进行DCT变换 d) 以8×8为样本单位进行量化 e) 以8×8为样本单位进行Z形扫描 f) 以8×8为样本单位进行熵编码 g) 以8×8为样本单位进行解量化 h) 以8×8为样本单位进行IDCT变换 -JPEG still image compression Function of the documents as follows: 1) JPEG compression process: gendat.exe 2) For the compressed JPEG file header data, together with the procedures genjpg.exe 3) The solution JEPG compression program extrdat.exe Of which: (1) the input parameters is the need to generate the compressed file s name. The main program flow is: a) procedures for initialization, read the file name, the original image data and other basic data b) From the AC.TAB and DC.TAB two file generation AC table and DC table, into an array of c) with 8 × 8 sample units for the DCT- d) to 8 × 8 for the sample unit to quantify e) to 8 × 8 for the sample units of Z-scan f) to 8 × 8 for the sample units of entropy coding g) to 8 × 8 for the sample unit to extract the quantitative h) with 8 × 8 for the sample units IDCT transform
Date : 2025-12-26 Size : 12kb User : 太平洋

A c program to read an excel file as input which contains a data set and the program computes entropy of each data item
Date : 2025-12-26 Size : 2kb User : juhimodi

盲信号分离是当前信号处理研究的热点课题之一,在无线数据通信、医学、语音和地震信号处理等领域有着广阔的应用前景。一种基于负熵最大的FastICA算法用于实现盲信号分离。。该方法的基本思路是以非高斯信号为研究究对象,在独立性假设的前提下,对多路观测信号进行盲源分离。在满足一定的条件下,能够从多路观测信号中,较好地分离出隐含的独立源信号。 -Blind signal separation is one of the hot topics of signal processing research has broad application prospects in the field of wireless data communications, medical, speech and seismic signal processing. Based on negative entropy FastICA algorithm for blind signal separation. . The basic idea of ​ ​ this method is non-Gaussian signal study subjects for the study, the hypothesis of independence, the observed signal of the multi-channel blind source separation. Meet certain conditions, from the signals of multiple observations, good separation of independent source signals implied.
Date : 2025-12-26 Size : 1kb User : zmougang

This is the second energy entropy matlab code, Can be widely used in data analysis and forecast data, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
Date : 2025-12-26 Size : 3kb User : jankenbiu

最小二乘法(又称最小平方法)是一种数学优化技术。它通过最小化误差的平方和寻找数据的最佳函数匹配。利用最小二乘法可以简便地求得未知的数据,并使得这些求得的数据与实际数据之间误差的平方和为最小。最小二乘法还可用于曲线拟合。其他一些优化问题也可通过最小化能量或最大化熵用最小二乘法来表达。(The least square method (also called the least square method) is a mathematical optimization technique. It matches the best function of finding the data by minimizing the square of the error. By using the least squares method, the unknown data can be easily obtained, and the sum of the square sum of the error between the obtained data and the actual data is minimized. The least square method can also be used for curve fitting. Some other optimization problems can also be expressed by least square method by minimizing energy or maximizing entropy.)
Date : 2025-12-26 Size : 1kb User : FY1
CodeBus is one of the largest source code repositories on the Internet!
Contact us :
1999-2046 CodeBus All Rights Reserved.