Brian Thorne hardbyte

## index.html
<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="utf-8">
    <meta name="viewport" content="width=device-width, initial-scale=1">
    <!-- Latest compiled and minified CSS -->
    <link rel="stylesheet" href="//maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css">

    <!-- Optional theme -->
    <link rel="stylesheet" href="//maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css">

## README.md

      
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## Streaming Pickle
"""Streaming pickle implementation for efficiently serializing and
de-serializing an iterable (e.g., list)

Created on 2010-06-19 by Philip Guo

http://code.google.com/p/streaming-pickle/

Modified by Brian Thorne 2013 to add base64 encoding to support
python3 bytearray and the like.
"""

## Rolling FFT
import numpy as np
from collections import deque
import time
import threading
import matplotlib.pyplot as plt


def rollingFFT(s, n, dt):
    fy = np.fft.fft(s)
    # Frequencies associated with each samples
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="utf-8">
	<meta name="viewport" content="width=device-width, initial-scale=1">
	<!-- Latest compiled and minified CSS -->
	<link rel="stylesheet" href="//maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css">

	<!-- Optional theme -->
	<link rel="stylesheet" href="//maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css">
	"""Streaming pickle implementation for efficiently serializing and
	de-serializing an iterable (e.g., list)

	Created on 2010-06-19 by Philip Guo

	http://code.google.com/p/streaming-pickle/

	Modified by Brian Thorne 2013 to add base64 encoding to support
	python3 bytearray and the like.
	"""
	import numpy as np
	from collections import deque
	import time
	import threading
	import matplotlib.pyplot as plt


	def rollingFFT(s, n, dt):
	fy = np.fft.fft(s)
	# Frequencies associated with each samples