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#!/usr/bin/env bash
#              bash 4.1.5(1)     Linux Ubuntu 10.04           Date : 2011-10-04
#
# _______________|  noise : ambient Brown noise generator (cf. white noise).
#
#           Usage:  noise  [minutes=59]  [band-pass freq center=1786]  [wave]
#                          ^minutes can be any positive integer.
#                           Command "noise 1" will display peak-level meter.
#
#    Dependencies:  play (from sox package)

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# Create background noise profile from mp3
/usr/bin/sox noise.mp3 -n noiseprof noise.prof

# Remove noise from mp3 using profile
/usr/bin/sox input.mp3 output.mp3 noisered noise.prof 0.21

# Remove silence from mp3
/usr/bin/sox input.mp3 output.mp3 silence -l 1 0.3 5% -1 2.0 5%

# Remove noise and silence in a single command

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function error  = msewav(inputFile ,outputFile)
% function to compute mse between two .wav. files
% usage: mse=msewav(cleanfile.wav,enhanced.wav)
% matlab spectrum library for Vibrastic Lab, ITS
% modified by [email protected] (21/7/2014) for .wav files

if nargin<2
    fprintf('mse=msewav(inputFile, outputFile) \n');
    return;
end;

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#!/bin/bash

DPI=150
PDF_DESTINATION=""

help() {
echo "optimize_pdf help"
echo "-h : show this help"
echo "-d : (optional) output pdf document resolution, by default : 150"
echo "-s : pdf source file, this file must exist"

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%% Molecular Dynamics Simulator
% <md.m> Mark D. Shattuck 7/22/2010

% revision history:
% 7/22/2010 Mark D. Shattuck <mds> md.m
%           MD Demo for HandsOn 2010
%           000 mds Initial conditions and visualization

%% Parmeters

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SQL Questions

Contents

• Challenge 1.1
• Challenge 2.1
• Challenge 3.1
• Challenge 4.1
• Challenge 5.1
• Challenge 6.1
• Challenge 7.1

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# vimcheat.sh: the vim cheatsheet
# Ref: https://www.catswhocode.com/blog/vim-cheat-sheet-for-2016
# Usage: less `vimcheat.sh` then `/typewhatyoulookfor`
# :command arguments Explanation for command inside VIM OR
# shortcut Explanation for shortcut, eg: ciw (C+I+W) to change inner word

#Basics
:e  filename	Open filename for edition
:w	Save file
:q	Exit Vim

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#!/usr/share/env python3
# demo zeropadding
# dimodifikasi dari: https://dsp.stackexchange.com/questions/10363/algorithm-to-zero-pad-data-before-fft
# ada implementasi yang lebih mudah dari ini yakni dengan menggunakan np.pad
import numpy as np
import matplotlib.pyplot as plt
from scipy.fftpack import fft, fftshift

Fs = 16000                          # Frekuensi sampling
f0 = 5000                           # Frekuensi tengah

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import os
import pathlib

import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
import tensorflow as tf

from tensorflow.keras.layers.experimental import preprocessing
from tensorflow.keras import layers