MATSNL is a package of MATLAB M-files for computing wireless sensor node
lifetime/POwer budget and solving optimal node architecture choice problems. It is intended
as an analysis and simulation tool for researchers and educators that are easy to use and
modify. MATSNL is designed to give the rough POwer/ lifetime predictions based on node
and application specifications while giving useful insight on platform design for the large
node lifetime by providing side-by-side comparison across various platforms.
this file has codes that describes how to ccmpute the signal spectrum , the POwer spectrum, how to calculate the autocorrelation sequence of a signal, how to calculate the autoregressive coeffecients of a signal,and how to reduce the noisy elements in a speech sample.
The radially averaged POwer spectrum (RAPS) is the direction-independent mean spectrum, i.e. the average of all possible directional POwer spectra. This function computes and plots the RAPS of an input image. The function was written to produce the RAPS for square weather radar reflectivity images so you will have to relabel the plot axes and title to suit your needs. The radially averaged POwer spectrum provides a convenient means to view and compare information contained in 2D spectra in 1D
Those who are working on POwer system optimisatio, for them here is all the load flow programs from book hadi sadat. It i the 1st part.
Second part is also uploaded in this site by me
Calculates POwer drain for wlan, BT, backlight etc and shows the results. Good to know, what setting consumes most of the battery POwer on your windows mobile / Pocket PC.
