You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: stft2.m
    path of file: ./repos/deeplearningsourceseparation/codes/denoising
    
    the code of the file until where you have to start completion: function [f,fv,tv] = stft2( s, sz, hp, pd, wn, w, pf, sr)
% Copyright (c) 2014-present University of Illinois at Urbana-Champaign
% All rights reserved.
% 		
% Developed by:     Po-Sen Huang, Paris Smaragdis
%                   Department of Electrical and Computer Engineering
%                   Department of Computer Science
%

    
function [f,fv,tv] = stft2( s, sz, hp, pd, wn, w, pf, sr)
% Copyright (c) 2014-present University of Illinois at Urbana-Champaign
% All rights reserved.
% 		
% Developed by:     Po-Sen Huang, Paris Smaragdis
%                   Department of Electrical and Computer Engineering
%                   Department of Computer Science
%
% Short-time Fourier transform
%
% function [f,fv,tv] = stft( x, sz, hp, pd, wn, w, pf, sr)
%
% Inputs: 
%  x   input time series (must be row vector), or input complex spectrogram (DC to Nyquist)
%  sz  size of the FFT
%  hp  hop size in samples
%  pd  pad size in samples
%  wn  window to use (function name of data vector)
%  w   optional frequency warping (or unwarping) matrix (use wft.m)
%  pf  flag for padding input boundaries (default = 1)
%      if larger than 1 is is the desired size of the output with no padding
%  sr  input sample rate to plot correct frequencies and time axes (default = 1)
%
% Output:
%  f   complex STFT output (only DC to Nyquist components), or time series resynthesis
%  fv  Vector of frequencies for each spectrogram row
%  tv  Vector of times for each spectrogram column


% Default size
if ~exist( 'sz', 'var')
	sz = 1024;
end