Google

main
dspblog
cyclic_signals
FFT_interpolation
FFT_interpolation_how_does_it_work
FFT_smoothness_cyclic
discrete_time_reconstruction
discrete_time_reconstruction2
Nyquist_on_the_edge
FFT_delay_special_case
Fourier_reconstruction
pulse_and_Nyquist
FFT_complexError
matlabOctave
matlab_upsampling
matlab_downsampling
FFT_delay
FFT_filter_example
FFT_interpolation_example
FFT_bin_frequencies
fit_signal
FFT_peaksearch_audio_example
matlab_binary_readwrite
Octavesvg
C
FFTW_example
looprecord
SNR
SNR3
SNR_example_96kAudio
SNR_FFT_correlation_example
lua
luagpib
luasplit
luadump
mnoofltk
wxLuaDll
wxLua_loadAsDll
wxLua_HelloWorld
wxLua_simpleButton
wxLua_resourceManagement
wxLua_XMLparser
DSP
IQ_LO
IQ_LO_2
optimum_receiver
DSP_basics
sampleRateChange_terms
dirac_pulse
freqresp_s
zfilter_example
freqresp_z
freqresp_z_sign
misc
zero_forcing_equalizer_example
nonminphase_inverse
periodic_spectrum
lagrange_multipliers
Entropy
RC_chopper
TRex450_setup
EP100
EP100SE
EP100Gremlins
essential_spares
tail_rotor
motoradjustment
blade_balancing
blade_repair
GAUI_SAE12A
Walkera43


valid html (click to verify)



prevupnextdisable ads

Downsampling (Matlab / Octave function)

Summary

Downsampling removes samples from the signal. In combination with a filter, it can be part of decimation.

Matlab function

mn_downsample.m

Usage

data=mn_downsample(data, factor)

Source code

function data=mn_downsample(data, factor)
  [nRow, nCol]=size(data);
  if nRow > 1
    error('need row vector');
  end

  dsize=ceil(nCol/factor);
  nz=dsize*factor-nCol;
  if nz > 0
    data=[data, zeros(1, nz)];
  end
  data=reshape(data, factor, dsize);
  data=data(1, :);
  data=data(1:dsize);
  
  
  
  


prevupnextdisable ads

© Markus Nentwig 2007-2008
The content of this page is provided without any warranty and may not be reproduced without permission.

Comments? Questions?

Please send me a mail! mnentwig@elisanet.fi