Description: LDPC码是Low Density Parity-check Codes的缩写，一个长为N的LDPC码由它的校验矩阵H来定义，该矩阵的特点是其中的元素0特别多，1特别少——即所谓的“低密度”。一个参数为（N，i，j）的H表示该矩阵中每列有i个1，每行有j个1，矩阵大小为N×K，N代表码字长度，K代表校验子的个数。
-LDPC code is the ab. of Low Density Parity-check Codes. A Length N LDPC is defined by its H matrix. The matrix has many zeros and few ones. which called \"low density\". An H matrix has a parameter as (N,i,j) express that it is the matrix which has i s 1 in each column ,j s one in each row, the size of the matrix is N*K,the N is the code word length ,k is the number of the checks. Platform: |
Size: 625205 |
Author:姚中华 |
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Description: 电力系统稀疏矩阵计算类,用法范例代码,包括三个目录,MALIB(类),MATEST(使用范例),INCLUDE(*.H),是我编写的电力系统能量管理系统基础类之一.-power system sparse matrix computation, the use of code examples, including the three catalogs, MALIB (type), MATEST (using the example), INCLUDE (*. H), I was prepared by the power system energy management system based on one category. Platform: |
Size: 47718 |
Author:奇闻 |
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Description: 矩阵相乘的Strassen算法，其中 乘积矩阵C = H*H，H =（hij）n*n
1. hij = ， i，j=1，…8
2. i，j=1，…12
矩阵H =（hij）n*n自动生成，取小数点后面6位计算
-Strassen matrix multiplication, the algorithm, the product matrix C = H * H, H = (hij) n * n 1. hij =, i, j = 1, ... 2. i, j = 1, ... H = 12 matrix (hij) n * n automatically generated, from decimal point after six terms Platform: |
Size: 16114 |
Author:巫俊强 |
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Description: LDPC码是Low Density Parity-check Codes的缩写，一个长为N的LDPC码由它的校验矩阵H来定义，该矩阵的特点是其中的元素0特别多，1特别少——即所谓的“低密度”。一个参数为（N，i，j）的H表示该矩阵中每列有i个1，每行有j个1，矩阵大小为N×K，N代表码字长度，K代表校验子的个数。
-LDPC code is the ab. of Low Density Parity-check Codes. A Length N LDPC is defined by its H matrix. The matrix has many zeros and few ones. which called "low density". An H matrix has a parameter as (N,i,j) express that it is the matrix which has i s 1 in each column ,j s one in each row, the size of the matrix is N*K,the N is the code word length ,k is the number of the checks. Platform: |
Size: 624640 |
Author:姚中华 |
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Description: 电力系统稀疏矩阵计算类,用法范例代码,包括三个目录,MALIB(类),MATEST(使用范例),INCLUDE(*.H),是我编写的电力系统能量管理系统基础类之一.-power system sparse matrix computation, the use of code examples, including the three catalogs, MALIB (type), MATEST (using the example), INCLUDE (*. H), I was prepared by the power system energy management system based on one category. Platform: |
Size: 47104 |
Author:奇闻 |
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Description: 矩阵相乘的Strassen算法，其中 乘积矩阵C = H*H，H =（hij）n*n
1. hij = ， i，j=1，…8
2. i，j=1，…12
矩阵H =（hij）n*n自动生成，取小数点后面6位计算
-Strassen matrix multiplication, the algorithm, the product matrix C = H* H, H = (hij) n* n 1. hij =, i, j = 1, ... 2. i, j = 1, ... H = 12 matrix (hij) n* n automatically generated, from decimal point after six terms Platform: |
Size: 83968 |
Author:巫俊强 |
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Description: 一个基于GTK+的单词数值计算器，1、 按照规则计算单词的值，如果 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 26个字母（全部用大写）的值分别为 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26，如：
WINJACK这个单词的值就为：W+I+N+J+A+C+K=23+9+14+1+3+11=71％
HARDWORK=H+A+R+D+W+O+R+D=8+1+18+4+23+15+18+11=98％
LOVE=L+O+V+E=12+15+22+5=54％
LUCK=L+U+C+K=12+21+3+11=47％
ATTITUDE= A+T+T+I+T+U+D+E=1+20+20+9+20+24+4+5=100％
2、对程序的界面布局参考如下图所示，在第一个单行文本框输入一个单词，点击“计算”按钮，按照以上算法计算出该单词的值。
3、如果在最下面的单行文本框输入一个文件路径，此文件每行记录一个单词，那么经过程序计算出各个单词的值，并把结果输出到当前目录下result.txt文件中。如果文件不存在，应该提示错误。
-err Platform: |
Size: 1024 |
Author:翔 |
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Description: The program takes 3 inputs:
1. A letter of the alphabet that will remain unencoded (e.g. "J")
2. A 5-letter keyword (e.g. "BREAK")
3. A message to be encrypted (e.g. "COMPUTERSCIENCE"). You may assume that it does not contain any spaces or punctuation.
To form the code, first create a 5x5 matrix in which the first row is your keyword and the other elements are the remaining letters of the alphabet (minus the unencoded letter):
B R E A K
C D F G H
I L M N O
P Q S T U
V W X Y Z
-Encryption code Platform: |
Size: 1024 |
Author:王梓 |
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Description: 行列换位法采用密钥，假设密钥是5，明文是I am a Chinese boy那么就会以5位列数排成一个矩阵。 I a m a c
h I n e s
e b o y 那么密文就是ihe aib mno aey cs× ，最后一行不足的用随机字母填充，（×代表那个随机字母）！-The ranks of the use of key transposition law, assuming that key is 5, is clearly I am a Chinese boy then ranked number 5 in a matrix line. Well, I amach I neseboy ciphertext is ihe aib mno aey cs ×, the last line of under-filled with random letters, (× random letters on behalf of that)! Platform: |
Size: 1024 |
Author:汵潇 |
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Description: GPS惯性导航系统,解压后会有5M,这是我利用C#针对嵌入式WinCE做的一个GPS/惯性导航系统的组合定位软件，包括了卡尔曼滤波算法（含矩阵控件），界面显示，GPS串口接受，滤波结果输出以及WinCE应用调试控件，超强吧！直接下载可以在Visual.Net下调试使用-GPS inertial navigation system, after decompression will be 5M, which I use C# for embedded WinCE do a GPS/inertial navigation system of the combination of positioning software, including a Kalman filter algorithm (including the matrix of control), the interface displays, GPS serial port to accept the results of the output filter, as well as WinCE application debugging controls, super-bar! Direct download can be used to debug Visual.Net Platform: |
Size: 728064 |
Author:386 |
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Description: This a C program to implement haar wavelet transform on a 2 dimensional matrix. this code also uses targa.h which i will upload soon. thank you.-This is a C program to implement haar wavelet transform on a 2 dimensional matrix. this code also uses targa.h which i will upload soon. thank you. Platform: |
Size: 11264 |
Author:sssaksena |
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Description: 基于方差约束 ,研究一类不确定线性定常随机离散系统的 H ∞滤波问题。提出了一种
鲁棒滤波的新算法 ,该算法克服构造对角矩阵约束性较强- H ∞filtering problem under the constraint of variance was discussed for a class of linear
stochastic uncertain system. A new algorithm of robust filter design was proposed which avoids strict
constraint in constructing diagonal matrix to meet upper bound of variance. The robust filter with both
constraints of variance and H ∞was given based on linear matrix inequality (LM I) Platform: |
Size: 182272 |
Author:李静 |
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Description: 多路数字温度监控系统设计--哥们的毕业设计，注意有测又有控。因为它有些复杂，所以参考价值非常高：ds18b20多片组网，编程实现唯一寻址；4×5矩阵键盘实现输入操作；由于系统庞大，就扩展了RAM和I/O口，易移植；具有输出控制单元，能输出pwm波控制电机转动快慢；上下限温度设置，越限声音报警，根据温度高低，电机会自动调整转速。可改进的地方：后续如果想研究深入，可加进pid整定就完美了，待加入各种智能算法，使电机根据需要而实现各种智能的运转-Multichannel digital temperature monitoring system design- buddy of graduation design, attention to measurement and control. Because it is somewhat complex, so the reference value is very high: DS18B20 multiple networking, programming only addressing 4 x 5 matrix keyboard input operation because the system is huge, extends the RAM and I/O port, easy to transplant having the output control unit, can output PWM wave control of motor rotation speed the upper and lower limits of temperature setting, the alarm sounds, according to high and low temperature, automatically adjust the speed of motor. Room for improvement: to follow if you want to study in depth, can be added to the PID setting is perfect, to join the various intelligent algorithms, so that the motor according to the need and the realization of various intelligent operation
Platform: |
Size: 169984 |
Author: |
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Description:
The Haar transform can be expressed in the matrix form as T = HIHT (inverse transform HTTH) where I is an NxN image matrix, H is an NxN transformation matrix and T is the resulting NxN transform.
For Haar transform, the transformation matrix H contains the Haar basis functions hk(x). They are defined on a continuous, closed interval, x -[0, 1] for k = 0,1,2 ...,N -1 where N = 2n.-
The Haar transform can be expressed in the matrix form as T = HIHT (inverse transform HTTH) where I is an NxN image matrix, H is an NxN transformation matrix and T is the resulting NxN transform.
For Haar transform, the transformation matrix H contains the Haar basis functions hk(x). They are defined on a continuous, closed interval, x-[0, 1] for k = 0,1,2 ...,N-1 where N = 2n. Platform: |
Size: 1024 |
Author:yuki |
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Description: The zip file contains
1. A 128x256 Regular (3,6) H matrix (if you need to simulate other codes, need to write your own code for generating those parity check matrices). The file 128x256regular_v6.mat is for those using Matlab 6.5.
2. Files for LDPC code simulation over the AWGN channel.
3. Matlab-based and C-based (C-mex file)implementation of the LDPC decoder. The main simulation script contains the commands for the use of both decoders (there are 2 C-based decoders and one Matlab based). The commands for the decoder that are going to be used need to "uncommented", and those for the other decoder need to be "commented".
3a. To compile the C-mex file, need to install a C compiler (I have used Miscosoft Visual C++ 6.0). Then have to go to the Matlab command window and do
">>mex -setup" (then go through the steps of selecting the desired compiler). -The zip file contains
1. A 128x256 Regular (3,6) H matrix (if you need to simulate other codes, need to write your own code for generating those parity check matrices). The file 128x256regular_v6.mat is for those using Matlab 6.5.
2. Files for LDPC code simulation over the AWGN channel.
3. Matlab-based and C-based (C-mex file)implementation of the LDPC decoder. The main simulation script contains the commands for the use of both decoders (there are 2 C-based decoders and one Matlab based). The commands for the decoder that are going to be used need to "uncommented", and those for the other decoder need to be "commented".
3a. To compile the C-mex file, need to install a C compiler (I have used Miscosoft Visual C++ 6.0). Then have to go to the Matlab command window and do
">>mex-setup" (then go through the steps of selecting the desired compiler). Platform: |
Size: 76800 |
Author:肖力 |
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Description: 猜想：通过对Hilbert矩阵的预处理，能改善Hilbert的病态性质。
验证：根据不同 建立对应的Hilbert矩阵，计算该矩阵的2-范数的条件数，其次计算经过预处理后的H^矩阵的2-范数的条件数，并绘制 曲线。编程实现见附录1中的solution(2)。
实际编程中，分别取 ， ， ， ，可以发现所得到的变化曲线 在 时， 的取值较为平缓的减小，且均小于0。而随着Hilbert矩阵阶数的增大， 的取值在 区间中振荡，主要集中在 ，且多数取值 。则对多数的Hilbert矩阵，其条件数在经过预处理后，有 ，即预处理在一定程度上改善了原Hilbert矩阵的病态性质。
-Conjecture: By Hilbert matrix preconditioning can improve the pathological nature of Hilbert.
Authentication: Depending on the establishment of the corresponding Hilbert matrix, the matrix calculation 2- norm condition number, followed by the calculation 2 after pretreatment of H ^ matrix- norm condition number, and draw the curve. Programming, see Appendix 1 solution (2).
The actual programming, were taken,, can be found in the curve obtained when the value is reduced more gentle and less than 0. With the Hilbert matrix of order increases, the value in the interval oscillations, mainly in, and most of the value. For most of the Hilbert matrix condition number after a pretreatment with, i.e., to some extent, the pretreatment improves the pathological nature of the original Hilbert matrix. Platform: |
Size: 102400 |
Author:李雷 |
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Description: 解线性方程组的列主元素高斯消去法和LU分解法实验报告-Conjecture: By Hilbert matrix preconditioning can improve the pathological nature of Hilbert.establishment of the corresponding Hilbert matrix, the matrix calculation 2- norm condition number, followed by the calculation 2 after pretreatment of H ^ matrix- norm condition number, and draw the curve. Programming, see Appendix 1 solution (2).
The actual programming, were taken,, can be found in the curve obtained when the value is reduced more gentle and less than 0. With the Hilbert matrix of order increases, the value in the interval oscillations, mainly in, and most of the value. For most of the Hilbert matrix condition number after a pretreatment with, i.e., to some extent, the pretreatment improves the pathological nature of the original Hilbert matrix. Platform: |
Size: 27648 |
Author:李雷 |
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Description: Hi
I like to integrate GPS and INS using kalman filter to predict the
position of a vehicle.
first of all i like to use GPS sensor readings with kalman filter .
I have read lot of research papers for that purpose but I donot know how
to use real time data of GPS sensor in the kalman filter measurement
equation.
My question is that where i have to put the readings the gps sensor
in measurement equation i.e where to put numerical values the sensor
in the measurement equation.how these values make sense.
zk=Hxk+wk
also i like to ask as how can i determine the state transition matrix F
and observation matrix H for a particular application.
also how can i determine the measrement noise matrix the gps sensor.
thanks and regards
-Hi
I like to integrate GPS and INS using kalman filter to predict the
position of a vehicle.
first of all i like to use GPS sensor readings with kalman filter .
I have read lot of research papers for that purpose but I donot know how
to use real time data of GPS sensor in the kalman filter measurement
equation.
My question is that where i have to put the readings the gps sensor
in measurement equation i.e where to put numerical values the sensor
in the measurement equation.how these values make sense.
zk=Hxk+wk
also i like to ask as how can i determine the state transition matrix F
and observation matrix H for a particular application.
also how can i determine the measrement noise matrix the gps sensor.
thanks and regards
Platform: |
Size: 2048 |
Author:is dt |
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Description: This program implements the bit Flipping algorithm for the binary erasure channel. Here y is the received vector and H is the parity check matrix. I have taken an arbitrary parity check matrix. If the entry of y is -1, that means that it is erased. After the program is run, please type M to get the new received vector. -This program implements the bit Flipping algorithm for the binary erasure channel. Here y is the received vector and H is the parity check matrix. I have taken an arbitrary parity check matrix. If the entry of y is -1, that means that it is erased. After the program is run, please type M to get the new received vector. Platform: |
Size: 1024 |
Author:rajen |
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Search - Matrix.h matrix.i