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用MATLAB实现的不合格品率P控制图的绘制
- 用MATLAB实现的不合格品率P控制图的绘制，只要将数据导入data.txt文件，然后在MATLAB中运行main.m文件即可打开绘图界面。（注意：路径要设置好）-the failure rate of P Commodities Control Map, as long as the data into data.txt documents, then in MATLAB run main.m document can be open graphics interface. (Note : T
SELECT2
- 通过精心挑选划分元素v，可以得到一个最坏情况时间复杂度为O(n)的选择算法。本次实习要求用c语言将此算法实现。要求实现此功能：输入一组数，返回A[i],使其为A(m:p)中第k小的元素，k是一个全局变量，取大于1的整数-division through carefully selected elements v, one can be the worst time complexity of O (n) algorithm. The internship requirement c langua
hyplas
- ************************************************************************ * * * * * THIS IS THE H Y P L A S 2.0 README FILE * * ----------------- * * * * HYPLAS is a finite element program for implicit small and large * * strain analisys of hyperelast
work.rar
- Matlab实现： Erlang B model(M/M/n/n)与 Erlang C model排队系统的模拟，并画出阻塞概率(P)与负载(A=lamda/miu in Erlang)的关系图。用法：运行RunMe,Matlab achieve: Erlang B model (M/M/n/n) and the Erlang C model simulation queuing system, and draw blocking probability (P) and load (A = la
g-p
- 改程序是计算G_P关联维维数的程序 混沌理论-G_P CorrelationDimension_GP\Main_CorrelationDimension_GP.m
work
- Matlab 模拟 CDMA 直接扩频。m序列生成矩阵为p(x) = 1 + x^5 + x^7 + x^8 + x^9 + x^13 + x^15。能画出每阶段的时域、频域图。-Matlab simulation of CDMA Direct Spread Spectrum. m sequence generated matrix for p (x) = 1+ x ^ 5+ x ^ 7+ x ^ 8+ x ^ 9+ x ^ 13+ x ^ 15. To draw each stage of t
psk
- 本设计是基于Matlab集成环境下用M文件编制程序来实现PSK信号的解调-The design is based on the Matlab environment integrated with M documentation procedures to achieve PSK signal demodulation
Viterbi_decode
- 维特比译码仿真程序 cnv_encd.m 卷积编码程序 viterbi.m 卷积译码程序 其它的是viterbi.m中用到的子函数-Viterbi convolutional coding cnv_encd.m simulation program procedures viterbi.m other convolutional decoding procedure is used in viterbi.m Functions
mpibingxing
- 介绍行列划分算法和矩阵相乘并行算法M P I 程序, 给出基于矩阵相乘并行算法的M P I 实现, 分析和讨 论处理器数目、复杂性、矩阵划分、B 子块传递、死锁避免和矩阵数据的获取等问题.-Introduction into the ranks of the matrix multiplication algorithm and parallel algorithm for MPI procedures, give parallel algorithm based on matrix mul
p
- MUSIC算法；是平面阵的。很好用。大家交流学习-MUSIC algorithm is planar array. Good use. To facilitate the exchange of learning
Information_Theory
- 从国外找到的matlab信息论工具箱，比较实用，可以求随机变量的互信息和熵。-Matlab information toolbox, including m files for computing multual information and entropy.
aa
- 在同一张图上仿真多幅度电平M电平PAM在M=2,4,8,16时的符号差错概率。-In the same graph simulation multi-level rate of M-level PAM at M = 2,4,8,16 when the symbol error probability.
pie
- prolog 智能推理机的实现代码，可编辑运行，欢迎大家交流与学习-This example demonstrates Prolog Inference Engine is a small Prolog Interpreter. It uses the standard Prolog syntax (K&M) and releases the most popular set of predicates.
lu_pivot.m
- Method with Gaussian Elimination with Pivoting function [L,U,P] = lu_pivot(A) - Method with Gaussian Elimination with Pivoting function [L,U,P] = lu_pivot(A)
matrix
- //--显示矩阵，形参m为行，n为列 void MatrixDisplay(double *A,int m,int n) //--求矩阵转置，形参m为行，n为列,A转置后存为B void MatrixInverse(double *A,double *B, int m,int n) //--求矩阵相乘,A矩阵为[m,p],B矩阵为[p,n],C为[m,n] void MatrixMultiply(double *A,double *B,double *C ,i
MUSIC
- MUSIC算法原理及其Matlab仿真.设有m个阵元，p个信号源，x(n)为观测数据,令其特征值分解,然后把特征矩阵U的列向量分为信号特征向量和噪声特征向量-MUSIC Algorithm and its Matlab simulation. With one array element m, p a signal, x (n) for the observed data, so that it eigenvalue decomposition, and then the column vect
avo_abe
- avo_abe - AVO intercept and gradient attributes for P-P and P-S-avo_abe - AVO intercept and gradient attributes for P-P and P-S
lala
- 用遗传算法求解最短路径问题求解的遗传算法的参数设定如下： 种群大小：M = 50 最大代数：G = 1000 交叉率： = 1 c p ，交叉概率为1 能保证种群的充分进化。 变异率： = 0.1 m p ， 一般而言，变异发生的可能性较小-With a genetic algorithm to solve the shortest path problem of the genetic algorithm parameter settings are as follows: p
G-P
- 文件说明： 1、GP_Algorithm_main.m - 程序主文件 2、LorenzData.dll - 产生Lorenz离散数据 3、normalize_1.m - 数据归一化 4、correlation_interal.c - 计算关联积分的源代码文件 5. correlation_interal.dll-计算关联积分的mex文件-文件说明： 1、GP_Algorithm_main.m 2、LorenzData.dll 3、normalize_1.m 4
Chua
- chua matlab model simple analysis A solution of these equations (I3,V2,V1)(t) starting from an initial state (I3,V2,V1)(0) is called a trajectory of Chua s oscillator. This function uses a RungeKutta integration method optimised for th