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1  Products / Arduino Due / arm neuromorphic chip in the next due or arduino could it be possible? on: April 30, 2014, 01:01:06 pm
arm neuromorphic chip in the next due or arduino could it be possible?
It would be great open source tech but it could be proprietary like broadcoms chips.
A open eagle or kicad files to use small batch assembly to have a array of neuromorphic chips the size the user wants would be cool panels for a rack mount fridge full.
2  Using Arduino / Project Guidance / Re: EEVBlog shown how their kicad design was made with a PNP service anyone else use on: February 22, 2014, 01:57:24 pm
Hi I would like a prototype assembled it is all SMD SMT similar in size to the FreeMU.
http://www.varesano.net/projects/hardware/FreeIMU

The board files are here:
http://www.varesano.net/files/FreeIMU_factory_outputs_v0.4_rev2.zip
The parts list is here:
http://www.varesano.net/files/FreeIMU-v0.4r3_BOM_0.csv
I could order the parts or board from oshpark but how would we work it to make the freeIMU?

I have other prototypes in the works.

So I was using the freeimu design as a standard to compare would your company work with these files what else could I supply a PNP csv file? Kicad outputs them.
3  Using Arduino / Project Guidance / EEVBlog shown how their kicad design was made with a PNP service anyone else use on: February 22, 2014, 01:39:44 pm
EEVBlog shown how their kicad design was made with a PNP service anyone else use one?
https://plus.google.com/115619229558685890449/posts/PknzS87nmqb

www.ramzonics.com.au

I currently use oshpark and made some designs using all smt and want to have a prototipe assembled and can't find one off ones in a reasonable price range.
4  Using Arduino / Project Guidance / I made arduinio designs classifieds adds site. on: February 16, 2014, 01:05:53 pm
I made arduinio designs classifieds adds site.
It has a market for hardware and software designs.
Look at air2it and the classifieds section. 
5  Products / Arduino Due / Has anyone tried the brain connectivity toolbox in c++ in a arduino due? on: July 24, 2013, 12:08:15 am
I have read some articles about connectomes and seen a ted talk on it.

Connectonomics and pigons and other aireas like visual cortex's are mapped acording to science journal articles.

So aparently the structures are done in the brain connectivity toolkit now could it work for octave? if It didn't have proprietary graphics. Could it be useful in a arduino due? Well I decided to ask the forum.  smiley-mr-green smiley-grin

Has anyone tried the brain connectivity toolbox in c++ in a arduino due?
6  Topics / Education and Teaching / Could automated assembly of a prototipe be a good service for colleges? on: June 19, 2013, 10:12:10 am
Could automated assembly of a prototype be a good service for colleges?
I setup air2it.com and thought pick and place and reflow soldering of boards made by college students would help them get through the development cycle.
7  Products / Arduino Due / Re: Octave/Matlab Vector Programming in Due on: February 28, 2013, 11:19:33 am

Binary sketch size: 183,028 bytes (of a 524,288 byte maximum) - 34% used

So the LDA eample that has slightly different number results but did one calculation correctly i would have to try it with some of the sample data or octave or r example data to see if it continues to work.

Well I got the code to compile for a pc and compile for the arduino due. Now the pc I tested it will this run on the arduino due? Sorry about the mess.

Code:
//Josh W
//lda example reference http://people.revoledu.com/kardi/tutorial/LDA/Numerical%20Example.html
//reference http://eigen.tuxfamily.org/dox/TutorialMatrixArithmetic.html
// Example By: RandomVibe
// Eigen Doc: http://eigen.tuxfamily.org/dox/
// Quick Reference: http://eigen.tuxfamily.org/dox/QuickRefPage.html

#include <iostream>
#include <math.h>
#include <Eigen312.h>     // Calls main Eigen3.1.2 matrix class library
#include <Dense>
#include <LU>             // Calls inverse, determinant, LU decomp., etc.
using namespace Eigen;    // Eigen related statement; simplifies syntax for declaration of matrices
using Eigen::MatrixXd;
using namespace std;

void print_mtxf(const Eigen::MatrixXf& K);


void setup() {

    Serial.begin(9600);
   
    // DECLARE MATRICES
    //--------------------
  //data matrix x row col
MatrixXd x(4,2);
//cur
x(0,0) = 2.95;//g0
x(1,0) = 2.53;
x(2,0) = 3.57;
x(3,0) = 3.16;

//dia
x(0,1) = 6.63;//g0
x(1,1) = 7.79;
x(2,1) = 5.65;
x(3,1) = 5.47;

MatrixXd x1(3,2);

x1(0,0) = 2.58;//g1
x1(1,0) = 2.16;
x1(2,0) = 3.27;

x1(0,1) = 4.46;//g1
x1(1,1) = 6.22;
x1(2,1) = 3.52;

MatrixXd ui(1,2);//group/feature

ui(0,0)=(x(0,0) + x(1,0) + x(2,0) + x(3,0))/4.0;
ui(0,1)=(x(0,1) + x(1,1) + x(2,1) + x(3,1))/4.0;

//transpose ui to uit
MatrixXd uit(1,2);//group/feature
uit=ui.transpose();


MatrixXd ui1(1,2);//group/feature

ui1(0,0)=(x1(0,0) + x1(1,0) + x1(2,0))/3.0;
ui1(0,1)=(x1(0,1) + x1(1,1) + x1(2,1))/3.0;

MatrixXd ui1t(1,2);//group/feature
ui1t=ui1.transpose();

MatrixXd u(1,2);//all group/feature
u(0,0)=(x(0,0) + x(1,0) + x(2,0) + x(3,0) + x1(0,0) + x1(1,0) + x1(2,0))/7.0;

u(0,1)=(x(0,1) + x(1,1) + x(2,1) + x(3,1) + x1(0,1) + x1(1,1) + x1(2,1))/7.0;

MatrixXd ximinu(4,2);
//cur
ximinu(0,0) = x(0,0) - u(0,0);//f0
ximinu(1,0) = x(1,0) - u(0,0);
ximinu(2,0) = x(2,0) - u(0,0);
ximinu(3,0) = x(3,0) - u(0,0);
//dia
ximinu(0,1) = x(0,1) - u(0,1);//f1
ximinu(1,1) = x(1,1) - u(0,1);
ximinu(2,1) = x(2,1) - u(0,1);
ximinu(3,1) = x(3,1) - u(0,1);
std::cout << ximinu << std::endl;
cout << "" << endl;

MatrixXd ximinu1(3,2);
//cur
ximinu1(0,0) = x1(0,0) - u(0,0);
ximinu1(1,0) = x1(1,0) - u(0,0);
ximinu1(2,0) = x1(2,0) - u(0,0);
//dia
ximinu1(0,1) = x1(0,1) - u(0,1);//g1
ximinu1(1,1) = x1(1,1) - u(0,1);
ximinu1(2,1) = x1(2,1) - u(0,1);

MatrixXd ximinut(4,2);
ximinut= ximinu.transpose();

MatrixXd ximinu1t(3,2);
ximinu1t= ximinu1.transpose();

MatrixXd ci(2,2);
ci = ( ximinut * ximinu ) /4.0;

MatrixXd ci1(2,2);
ci1 = ( ximinu1t * ximinu1 ) /3.0;

MatrixXd c(2,2);
c(0,0) = 4.0/7.0 * ci(0,0) + 3.0/7.0 * ci1(0,0);
c(1,0) = 4.0/7.0 * ci(1,0) + 3.0/7.0 * ci1(1,0);
c(0,1) = 4.0/7.0 * ci(0,1) + 3.0/7.0 * ci1(0,1);
c(1,1) = 4.0/7.0 * ci(1,1) + 3.0/7.0 * ci1(1,1);

MatrixXd cinverse(2,2);
cinverse=c.inverse();
 
MatrixXd xk(1,2);//new data
xk(0,0) = 2.81;//f1
xk(0,1) = 5.46;

MatrixXd xkt(1,2);//new data
xkt=xk.transpose();

MatrixXd lnp1(1,1);//p1 4/7
lnp1(0,0) = 0.0;
lnp1(0,0)=log(4.0/7.0);

MatrixXd lnp2(1,1);//p1 3/7
lnp2(0,0) = 0.0;
lnp2(0,0)=log(4.0/7.0);

MatrixXd f1(1,1);//ui   * cinverse * xkt  -1.0/2.0 * ui  * cinverse * uit + lnp1
MatrixXd f2(1,1);//ui1  * cinverse * xkt -1.0/2.0 * ui1 * cinverse * ui1t + lnp2

f1 = ui   * cinverse * xkt  -1.0/2.0 * ui  * cinverse * uit + lnp1;
f2 = ui1  * cinverse * xkt -1.0/2.0 * ui1 * cinverse * ui1t + lnp2;
 
if (f1(0,0)>f2(0,0)) cout << "the data is in group 1" << endl;
if (f1(0,0)<f2(0,0)) cout << "the data is in group 2" << endl;
    // Print Result
    //----------------------------
     //print_mtxf(K);      // Print Matrix Result (passed by reference)
   
}




void loop() {
  // put your main code here, to run repeatedly:
 
}




// PRINT MATRIX (float type)
//-----------------------------
void print_mtxf(const Eigen::MatrixXf& X)
{
    int i, j, nrow, ncol;
   
    nrow = X.rows();
    ncol = X.cols();

    Serial.print("nrow: "); Serial.println(nrow);
    Serial.print("ncol: "); Serial.println(ncol);       
    Serial.println();
   
    for (i=0; i<nrow; i++)
    {
        for (j=0; j<ncol; j++)
        {
            Serial.print(X(i,j), 6);   // print 6 decimal places
            Serial.print(", ");
        }
        Serial.println();
    }
    Serial.println();
}
8  Products / Arduino Due / Re: Octave/Matlab Vector Programming in Due on: February 27, 2013, 12:03:13 pm
I switched the board type to duo and it must look into the sam libraries folder so now the example compiles. I will try my code latter. Thank You.  smiley-grin  smiley-mr-green  smiley-lol
9  Products / Arduino Due / Re: Octave/Matlab Vector Programming in Due on: February 27, 2013, 11:59:18 am
Thanks I downloaded Arduino 1.5 ...
I put the eigen subdirectory into arduino hardware sam libraries then the eigen.h file in there. That is in the adafruit post.

Now I am getting errors with namespace...
using namespace Eigen;    // Eigen related statement; simplifies syntax for declaration of matrices
The print out option of the matrix tipe I am not shure how that works.

I useualy use standard c and arduino c.
10  Products / Arduino Due / Is their a way in the data sheet or some way to add more program memory to due. on: February 27, 2013, 10:17:52 am
I wanted to program the arduino due to do some linear algebra operations. Linear Discriminant Analysis. The code blocks c++ release code is over 520k already So I wonder is their ways to compile the program smaller and will it be smaller put into the arduino due as shown in the forums? It is on my pc now.
What are ways to add more program memory???
11  Products / Arduino Due / Re: Arduino Due libraries (official and 3rd party) on: February 27, 2013, 08:44:08 am
I am using the Eigen library and want to run it in the arduino due I have posted some of my codeblocks c++ code for my windows machine.

Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms.

http://eigen.tuxfamily.org/index.php?title=Main_Page

Code:
#include <iostream>
#include <Eigen/Dense>
#include <Eigen/LU>
using Eigen::MatrixXd;
using namespace std;
int main()
{
cout << "Hello Pattern matching Linear Discriminent Analisis!" << endl;
cout << "" << endl;
cout << "x data" << endl;

//data matrix x row col
MatrixXd x(4,2);
//cur
x(0,0) = 2.95;//g0
x(1,0) = 2.53;
x(2,0) = 3.57;
x(3,0) = 3.16;

//dia
x(0,1) = 6.63;//g0
x(1,1) = 7.79;
x(2,1) = 5.65;
x(3,1) = 5.47;

std::cout << x << std::endl;
cout << "End of x data" << endl;
cout << "" << endl;

cout << "x1 data" << endl;

MatrixXd x1(3,2);

x1(0,0) = 2.58;//g1
x1(1,0) = 2.16;
x1(2,0) = 3.27;

x1(0,1) = 4.46;//g1
x1(1,1) = 6.22;
x1(2,1) = 3.52;

std::cout << x1 << std::endl;
cout << "End of x1 data" << endl;
cout << "" << endl;

//group adv
cout << "x data adverage ui" << endl;

MatrixXd ui(1,2);//group/feature
ui(0,0)=(x(0,0) + x(1,0) + x(2,0) + x(3,0))/4;
ui(0,1)=(x(0,1) + x(1,1) + x(2,1) + x(3,1))/4;
std::cout << ui << std::endl;
cout << "" << endl;

cout << "x1 data adverage ui1" << endl;

MatrixXd ui1(1,2);//group/feature

ui1(0,0)=(x1(0,0) + x1(1,0) + x1(2,0))/3.0;
ui1(0,1)=(x1(0,1) + x1(1,1) + x1(2,1))/3.0;
std::cout << ui1 << std::endl;
cout << "" << endl;

cout << "x & x1 data adverage u" << endl;
MatrixXd u(1,2);//all group/feature
u(0,0)=(x(0,0) + x(1,0) + x(2,0) + x(3,0) + x1(0,0) + x1(1,0) + x1(2,0))/7.0;

u(0,1)=(x(0,1) + x(1,1) + x(2,1) + x(3,1) + x1(0,1) + x1(1,1) + x1(2,1))/7.0;

std::cout << u << std::endl;
cout << "" << endl;


cout << "mean corrected data xig - u" << endl;
MatrixXd ximinu(4,2);
//cur
ximinu(0,0) = x(0,0) - u(0,0);//f0
ximinu(1,0) = x(1,0) - u(0,0);
ximinu(2,0) = x(2,0) - u(0,0);
ximinu(3,0) = x(3,0) - u(0,0);
//dia
ximinu(0,1) = x(0,1) - u(0,1);//f1
ximinu(1,1) = x(1,1) - u(0,1);
ximinu(2,1) = x(2,1) - u(0,1);
ximinu(3,1) = x(3,1) - u(0,1);
std::cout << ximinu << std::endl;
cout << "" << endl;

cout << "mean corrected data xi1 - u" << endl;


MatrixXd ximinu1(3,2);
//cur
ximinu1(0,0) = x1(0,0) - u(0,0);
ximinu1(1,0) = x1(1,0) - u(0,0);
ximinu1(2,0) = x1(2,0) - u(0,0);
//dia
ximinu1(0,1) = x1(0,1) - u(0,1);//g1
ximinu1(1,1) = x1(1,1) - u(0,1);
ximinu1(2,1) = x1(2,1) - u(0,1);

std::cout << ximinu1 << std::endl;

cout << " " << endl;

cout << "Transpose matricies" << endl;
cout << "xi - u T" << endl;

MatrixXd ximinut(4,2);
ximinut= ximinu.transpose();
std::cout << ximinut<< std::endl;
cout << " " << endl;

cout << "xi1 - u T" << endl;
MatrixXd ximinu1t(3,2);
ximinu1t= ximinu1.transpose();
std::cout << ximinu1t << std::endl;
cout << " " << endl;

cout << "Covariance matrix of group ci" << endl;
MatrixXd ci(2,2);
ci = ( ximinut * ximinu ) /4.0;
std::cout << ci << std::endl;
cout << "" << endl;

cout << "Covariance matrix of group ci1" << endl;
MatrixXd ci1(2,2);
ci1 = ( ximinu1t * ximinu1 ) /3.0;
std::cout << ci1 << std::endl;
cout << "" << endl;

cout << "Pooled within group Covariance matrix c" << endl;
MatrixXd c(2,2);
c(0,0) = 4.0/7.0 * ci(0,0) + 3.0/7.0 * ci1(0,0);
c(1,0) = 4.0/7.0 * ci(1,0) + 3.0/7.0 * ci1(1,0);
c(0,1) = 4.0/7.0 * ci(0,1) + 3.0/7.0 * ci1(0,1);
c(1,1) = 4.0/7.0 * ci(1,1) + 3.0/7.0 * ci1(1,1);
std::cout << c << std::endl;
cout << "" << endl;

cout << "inverse of Pooled within group Covariance matrix cinverse" << endl;
MatrixXd cinverse(2,2);
 cinverse=c.inverse();
std::cout << cinverse << std::endl;
cout << "" << endl;

cout << "Probability of a group" << endl;
cout << "x = 4/7 x1 = 3/7" << endl;

//create a vector of a probability...
cout << "" << endl;

//formula for calculatin likelyhood of data in a group...
//fi = uig cinverse xkt - 1/2uig cinverse uitg + ln probability

cout << "End of program!" << endl;

    return 0;
}
12  Products / Arduino Due / Re: Octave/Matlab Vector Programming in Due on: February 27, 2013, 08:41:13 am
Pattern Matching in arduino c++
I don't have the Arduino Due yet but I did write  this code in c++ code blocks on the release compile the size is Output size is 531.00 KB on my windows 8 computer and want to try it in a due. I wonder if the arduino due will be able to hold it and any suggestions to make it fit if not?

It inverts and multiplies and divides a constant from a matrix...

Code:
#include <iostream>
#include <Eigen/Dense>
#include <Eigen/LU>
using Eigen::MatrixXd;
using namespace std;
int main()
{
cout << "Hello Pattern matching Linear Discriminent Analisis!" << endl;
cout << "" << endl;
cout << "x data" << endl;

//data matrix x row col
MatrixXd x(4,2);
//cur
x(0,0) = 2.95;//g0
x(1,0) = 2.53;
x(2,0) = 3.57;
x(3,0) = 3.16;

//dia
x(0,1) = 6.63;//g0
x(1,1) = 7.79;
x(2,1) = 5.65;
x(3,1) = 5.47;

std::cout << x << std::endl;
cout << "End of x data" << endl;
cout << "" << endl;

cout << "x1 data" << endl;

MatrixXd x1(3,2);

x1(0,0) = 2.58;//g1
x1(1,0) = 2.16;
x1(2,0) = 3.27;

x1(0,1) = 4.46;//g1
x1(1,1) = 6.22;
x1(2,1) = 3.52;

std::cout << x1 << std::endl;
cout << "End of x1 data" << endl;
cout << "" << endl;

//group adv
cout << "x data adverage ui" << endl;

MatrixXd ui(1,2);//group/feature
ui(0,0)=(x(0,0) + x(1,0) + x(2,0) + x(3,0))/4;
ui(0,1)=(x(0,1) + x(1,1) + x(2,1) + x(3,1))/4;
std::cout << ui << std::endl;
cout << "" << endl;

cout << "x1 data adverage ui1" << endl;

MatrixXd ui1(1,2);//group/feature

ui1(0,0)=(x1(0,0) + x1(1,0) + x1(2,0))/3.0;
ui1(0,1)=(x1(0,1) + x1(1,1) + x1(2,1))/3.0;
std::cout << ui1 << std::endl;
cout << "" << endl;

cout << "x & x1 data adverage u" << endl;
MatrixXd u(1,2);//all group/feature
u(0,0)=(x(0,0) + x(1,0) + x(2,0) + x(3,0) + x1(0,0) + x1(1,0) + x1(2,0))/7.0;

u(0,1)=(x(0,1) + x(1,1) + x(2,1) + x(3,1) + x1(0,1) + x1(1,1) + x1(2,1))/7.0;

std::cout << u << std::endl;
cout << "" << endl;


cout << "mean corrected data xig - u" << endl;
MatrixXd ximinu(4,2);
//cur
ximinu(0,0) = x(0,0) - u(0,0);//f0
ximinu(1,0) = x(1,0) - u(0,0);
ximinu(2,0) = x(2,0) - u(0,0);
ximinu(3,0) = x(3,0) - u(0,0);
//dia
ximinu(0,1) = x(0,1) - u(0,1);//f1
ximinu(1,1) = x(1,1) - u(0,1);
ximinu(2,1) = x(2,1) - u(0,1);
ximinu(3,1) = x(3,1) - u(0,1);
std::cout << ximinu << std::endl;
cout << "" << endl;

cout << "mean corrected data xi1 - u" << endl;


MatrixXd ximinu1(3,2);
//cur
ximinu1(0,0) = x1(0,0) - u(0,0);
ximinu1(1,0) = x1(1,0) - u(0,0);
ximinu1(2,0) = x1(2,0) - u(0,0);
//dia
ximinu1(0,1) = x1(0,1) - u(0,1);//g1
ximinu1(1,1) = x1(1,1) - u(0,1);
ximinu1(2,1) = x1(2,1) - u(0,1);

std::cout << ximinu1 << std::endl;

cout << " " << endl;

cout << "Transpose matricies" << endl;
cout << "xi - u T" << endl;

MatrixXd ximinut(4,2);
ximinut= ximinu.transpose();
std::cout << ximinut<< std::endl;
cout << " " << endl;

cout << "xi1 - u T" << endl;
MatrixXd ximinu1t(3,2);
ximinu1t= ximinu1.transpose();
std::cout << ximinu1t << std::endl;
cout << " " << endl;

cout << "Covariance matrix of group ci" << endl;
MatrixXd ci(2,2);
ci = ( ximinut * ximinu ) /4.0;
std::cout << ci << std::endl;
cout << "" << endl;

cout << "Covariance matrix of group ci1" << endl;
MatrixXd ci1(2,2);
ci1 = ( ximinu1t * ximinu1 ) /3.0;
std::cout << ci1 << std::endl;
cout << "" << endl;

cout << "Pooled within group Covariance matrix c" << endl;
MatrixXd c(2,2);
c(0,0) = 4.0/7.0 * ci(0,0) + 3.0/7.0 * ci1(0,0);
c(1,0) = 4.0/7.0 * ci(1,0) + 3.0/7.0 * ci1(1,0);
c(0,1) = 4.0/7.0 * ci(0,1) + 3.0/7.0 * ci1(0,1);
c(1,1) = 4.0/7.0 * ci(1,1) + 3.0/7.0 * ci1(1,1);
std::cout << c << std::endl;
cout << "" << endl;

cout << "inverse of Pooled within group Covariance matrix cinverse" << endl;
MatrixXd cinverse(2,2);
 cinverse=c.inverse();
std::cout << cinverse << std::endl;
cout << "" << endl;

cout << "Probability of a group" << endl;
cout << "x = 4/7 x1 = 3/7" << endl;

//create a vector of a probability...
cout << "" << endl;

//formula for calculatin likelyhood of data in a group...
//fi = uig cinverse xkt - 1/2uig cinverse uitg + ln probability

cout << "End of program!" << endl;

    return 0;
}
13  Products / Arduino Due / Re: Octave/Matlab Vector Programming in Due on: February 24, 2013, 09:26:29 am
This is awsome and might work with the maple. I wonder if it would compile for fpga somehow like a xillinx.

I am interested in this and want to try to do linear discriminent analisis pattern matching.

The matrix inverse multiplication addition etc is needed for it.

I do not have a duo yet so i will try it in code blocks then on my leaflabs maple then the duo maby.

Has anyone tried this i like their documentation.

 smiley-cool  smiley-lol  smiley-mr-green
14  Forum 2005-2010 (read only) / Troubleshooting / Re: I have a sketch with loop & setup functions & one on: October 12, 2010, 07:00:09 am
I checked the wireing the wire came loose I get now 10010010 so I guess it is working I can read from the SPI the next test I will do is read & write to a different register that is read and write able.
15  Forum 2005-2010 (read only) / Troubleshooting / Re: I have a sketch with loop & setup functions & one on: October 12, 2010, 06:40:15 am
this is what it says it should be on the data sheet
010 = ADS1298; 24-bit resolution, 8 channels
the lower bits of Address = 00h
page 39
it is now showing all 1's
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