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alamath alavar software skip to content home allan variance matlab tools alanoise posted on february 5, 2018 by admin alanoise : noise generation freeware with this software you can simulate seven types of noise. the spectrum of the generated noises has the form : s(f) = f a a is a integer in { 2, 1 , 0 , -1 , -2, -3, -4}. this program generates noise data of the following type : white phase noise flicker phase noise white frequency noise flicker frequency noise random walk frequency noise random walk flicker fm random run fm. general features the size of the generated data is unlimited. a simple and powerfull graphical user interface. save the generated noise in an ascii file. very fast save to files. data bigger than 300 mb are saved in less than 30 seconds compute and plot (loglog) of the power spectrum density of the generatednoise. fit of the power spectrum density with a general power low copy, print export and edit the generated plots and data. download the last (2003) version alanoise3_setup.exe posted in allan variance | tagged noise generation | leave a comment h2mex posted on february 5, 2018 by admin h2mex : matlab mex wrapper generator h2mex is a program that gernerates automatically the c++ source of an matlab interface file (mex file) from header file (the .h file). the header file format is a pure c format, it’s extended with some modifiers that allows to h2mex to understand the exact task of a c routine. the generated source (mex file source) could be compiled without any modification to create a dll which is callable from matlab. h2mex is developped by alaa makdissi. it’s based on the matwrap package coded by gary holt h2mex is freeware . you download it here h2mex.exe usage : h2mex inputfile.h -o output.cpp [-outdir directoryname] where : inputfile.h is an input header file that contains a description of the functions to be wrapped output.cpp is the name of the file to be generated by h2mex the optional -outdir directoryname indicates to h2mex to put the generated m files in the directory directoryname. h2mex documentations most (if not all) of this text is copied (with permission) from the matwraper script written by gary holt. it you have perl installed in your computer then you should use the matwrap package because it has more options and supports more languges than the h2mex program. who needs to use this program ? suppose you have some functions defined in an .h file, like this: float fiddle(double arg); double tweedle(int x, char *name); you can access these directly from matlab by using the following: >>!h2mex fiddle.h -o myfuncs_wrap.c -outdir c:mymfiles >>mex -v myfuncs_wrap.c then, in matlab, you can do the following: y = tweedle(3, 'hello, world'); a = fiddle([3, 4; 5, 6]; note especially the last statement, where instead of passing a scalar as the argument, we pass a matrix. the c function fiddle() is called repeatedly on each element of the matrix and the result is returned as a 2×2 matrix. floats, doubles, char *, integer, unsigned, and pointers to structures may be used as arugments. function pointers are not currently supported in any form. c++ operator definitions are not supported either. c++ classes you can access public member functions and simple public data members of classes. for example, class abc { public: abc(int constructor_arg); void do_something(float number, int idx); double x; }; from matlab , you would access this structure like this: abc_ptr = abc_new(3); % call the constructor and return a pointer. abc_do_something(abc_ptr, pi, 4); % call the member function. abc_x = abc_get_x(abc_ptr); % get the value of a data member. abc_set_x(abc_ptr, 3.4); % set the data member. abc_delete(abc_ptr); % discard the structure. the same thing will work for c structs–the only difference is that they have only data members and no member functions. only public members are accessible from matlab. operator overloading and function overloading are not supported. function pointers are not supported. arrays you can also call functions that take arrays of data, provided that they accept the arrays in a standard format. for example, suppose you want to use the pgplot distribution to make graphs. the following function generates a histogram of data: void cpgbin(int nbin, const float *x, const float *data, logical center); here x[] are the abscissae values and data[] are the data values. if you add to your .h file a simple statement indicating the dimensions of the matrices, like this: //%input x(nbin), data(nbin) then from matlab, you can call this function like this: cpgbin(x, data, 1) where x and data are vectors. the nbin argument is determined from the length of the x and data vectors automatically (and the wrapper generator makes sure they are of the same length!). this will also work with multidimensional arrays, provided that the function expects the array to be a single one-dimensional array which is really the concatenation of the columns of the two-dimensional array.(this is normal for fortran programs.). the first array dimension varies the fastest, the second the next fastest, etc. (this is column major order, as in fortran, not row-major order, as in c. most matlab-like languages use the fortran convention. tela is an exception.) you may only use variable name or a constant for the array dimension. you can also use expressions like 2*nbin or 2*nbin+1 . if the expression is sufficiently simple, the wrapper generator will determine the values of any integer values (like nbin in this example) from the dimension of the input arrays, so they do not have to be specified as an argument. input files input files are designed to be your ordinary .h files, so your wrapper and your c++ sources are never out of date. in general, the wrapper generator does the obvious thing with each different kind of type. for example, consider the function declaration: double abcize(float a, int b, char *c, someclass *d); this will pass a single-precision floating point number as argument a . an integer is passed as argument b (probably converted from a double precision value). a null-terminated string is passed as argument c . the argument d must be a pointer value which was returned by another function. vectorization is automatically performed, so that if you pass a matrix of m by n inputs as argument a and arguments b and c as either scalars or m by n matrices, then the function will be called m*n times and the result will be an m by n matrix. by default, a function is vectorized if it has both inputs and outputs (see under //%vectorize below). char * arguments are not vectorized. passing arguments by reference is handled in the expected way. for example, given the declaration void fortran_sub(double *inarg1, float *inarg2); pointers to double and single precision numbers will be passed to the subroutine instead of the numbers themselves. this creates an ambiguity for the type char * . for example, consider the following two functions: void f1(char *a); void f2(unsigned char *b); h2mex assumes that the function f1 is passed a null terminated string, despite the fact that the argument a could be a pointer to a buffer where f1 returns a character. although this situation can be disambiguated with proper use of the const qualifier, h2mex treats char * and const char * as identical since many programs don’t use const properly. h2mex assumes, however, that unsigned char * is not a null terminated string but an unsigned char variable passed by reference. you can also force it to interpret char * as a signed char passed by reference by specifying the qualifier //%input a(1) (see below). if you want to pass arguments as arrays, or if there are outputs other than the return value of the function, you must declare these explicitly using the //%input or //%output qualifiers. all qualifiers follow the definition of the function (after the ; or the closing } if it is an inline function). valid qualifiers are : //%novectorize_type type1

URL analysis for alamath.com

http://www.alamath.com/#content
http://www.alamath.com/tag/generator/
http://www.alamath.com/progs/daq.zip
http://www.alamath.com/tag/ni-daq-matlab/
http://www.alamath.com/help/alavar_demo.htm
http://www.alamath.com/progs/alavar52_setup.exe
http://www.alamath.com/alavar/#respond
http://www.alamath.com/tag/noise-generation/
http://www.alamath.com/tag/wrapper/
http://www.alamath.com/alanoise/#respond
http://www.alamath.com/category/allan_variance/
http://www.alamath.com/progs/alanoise3_setup.exe
http://www.alamath.com/alanoise/
http://www.alamath.com/ni_daq/
http://www.alamath.com/h2mex/#respond

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