amroamroamro

Python version of the MATLAB code in this Stack Overflow post: https://stackoverflow.com/a/18648210/97160

The example shows how to determine the best-fit plane/surface (1st or higher order polynomial) over a set of three-dimensional points.

Implemented in Python + NumPy + SciPy + matplotlib.

hagenw

function narginchk(minargs, maxargs)

  if (nargin ~= 2)
    error('%s: Usage: narginchk(minargs, maxargs)',upper(mfilename));
  elseif (~isnumeric (minargs) || ~isscalar (minargs))
    error ('minargs must be a numeric scalar');
  elseif (~isnumeric (maxargs) || ~isscalar (maxargs))
    error ('maxargs must be a numeric scalar');
  elseif (minargs > maxargs)
    error ('minargs cannot be larger than maxargs')

Jxck

how to compile

$ gcc -g -Wall -I /path/to/libuv/include /path/to/libuv/uv.a -framework CoreServices server.c -o server
$ gcc -g -Wall -I /path/to/libuv/include /path/to/libuv/uv.a -framework CoreServices client.c -o client

Moligaloo

tell application "Mail"

	set theSubject to "Subject" -- the subject
	set theContent to "Content" -- the content
	set theAddress to "xxx@163.com" -- the receiver 
	set theSignatureName to "signature_name"-- the signature name
	set theAttachmentFile to "Macintosh HD:Users:moligaloo:Downloads:attachment.pdf" -- the attachment path

	set msg to make new outgoing message with properties {subject: theSubject, content: theContent, visible:true}

endolith

Unfortunately, there are 2 versions of this. The other is here: https://github.com/endolith/waveform-analyzer I intend to either completely combine them or completely separate them, eventually.

Somewhat crude THD+N calculator in Python

Measures the total harmonic distortion plus noise (THD+N) for a given input signal, by guessing the fundamental frequency (finding the peak in the FFT), and notching it out in the frequency domain. This is a THD_R