Resonate
Resonate is a low latency, low memory footprint, and low computational cost algorithm to evaluate perceptually relevant spectral information from audio (and other) signals. Overview Resonate builds on a resonator model that accumulates the signal contribution around its resonant frequency in the time domain using the Exponentially Weighted Moving Average (EWMA), also known as a low-pass filter in
Transit | No GPS required: our app can now locate underground trains
No GPS required: our app can now locate underground trains Bad service in the subway? Our offline motion detection shows where you are between stations, and reminds you when your stop’s up next October 31, 2024 In the twisting vaults of a subway, metro, or U-Bahn, there’s often no reliable cell service, wifi, or GPS. Which means you had no good way of keeping track of your stops or ETA when underg
Let's Write A Reverb
No magic numbers, no tricky tuning: a clean and flexible approach to designing a smooth high-quality reverb, using a variation on the classic feedback-delay network (FDN) structure. Reverbs are one of my favourite effects, both to use and to write, and feedback-delay networks are a great way to play around and try things. Reverbs sometimes have a bad reputation for being tricky to tune, so this ar
Building a GPS Receiver, Part 1: Hearing Whispers
Have you ever noticed that your Maps app still works during a flight? It can feel illicit, like someone just forgot to turn off the signal, and that watching yourself crawl along the earth should be done without drawing undue attention. A few months ago I learned that there were only around 30 GPS satellites serving the entire planet. This piqued my interest, because it reminded me of the 13 root
The Unreasonable Effectiveness of JPEG: A Signal Processing Approach
Visit https://brilliant.org/Reducible/ to get started learning STEM for free, and the first 200 people will get 20% off their annual premium subscription. Chapters: 00:00 Introducing JPEG and RGB Representation 2:15 Lossy Compression 3:41 What information can we get rid of? 4:36 Introducing YCbCr 6:10 Chroma subsampling/downsampling 8:10 Images represented as signals 9:52 Introducing the Discret
Compressed Sensing in Python
In this post I’ll be investigating compressed sensing (also known as compressive sensing, compressive sampling, and sparse sampling) in Python. Since the idea of compressed sensing can be applied in wide array of subjects, I’ll be focusing mainly on how to apply it in one and two dimensions to things like sounds and images. Specifically, I will show how to take a highly incomplete data set of sign
Engineers solve 50-year-old puzzle in signal processing
Engineers solve 50-year-old puzzle in signal processing by Mike Krapfl, Iowa State University Vladimir Sukhoy and Alexander Stoytchev, left to right, with the derivation for the ICZT algorithm in structured matrix notation -- the answer to a 50-year-old puzzle in signal processing. Credit: Paul Easker Something called the fast Fourier transform is running on your cell phone right now. The FFT, as
24 days of Rust - hound | Blog | siciarz.net
My engineering diploma involved some digital signal processing (DSP), in particular sound generation and recognition. Throughout my studies I went through a ton of audio files, usually using C++ to process them. I've written a custom .wav file loader, of course missed a few edge cases and it crashed upon receiving new training data from my supervisor... A few months later I discovered that Python
Tensor Decomposition for Signal Processing and Machine Learning
Tensors or {\em multi-way arrays} are functions of three or more indices $(i,j,k,\cdots)$ -- similar to matrices (two-way arrays), which are functions of two indices $(r,c)$ for (row,column). Tensors have a rich history, stretching over almost a century, and touching upon numerous disciplines; but they have only recently become ubiquitous in signal and data analytics at the confluence of signal pr
GW150914_tutorial
[Last updated July 18, 2017] This tutorial is no longer maintained. For an updated version, including additional binary black hole events, see the Binary Black Hole Events tutorial at https://losc.ligo.org/tutorials/.¶ SIGNAL PROCESSING WITH GW150914 OPEN DATA¶Welcome! This ipython notebook (or associated python script GW150914_tutorial.py ) will go through some typical signal processing tasks on
How does Shazam work | Coding Geek
Have you ever wondered how Shazam works? I asked myself this question a few years ago and I read a research article written by Avery Li-Chun Wang, the confounder of Shazam, to understand the magic behind Shazam. The quick answer is audio fingerprinting, which leads to another question: what is audio fingerprinting? When I was student, I never took a course in signal processing. To really understan
Fast Lomb-Scargle Periodograms in Python | Pythonic Perambulations
Edit, Spring 2017: For an in-depth guide to the practical use of Lomb-Scargle periodograms, see the paper discussed in A Practical Guide to the Lomb-Scargle Periodogram. Edit, Summer 2016: All of the implementations discussed below have been added to AstroPy as of Version 1.2, along with logic to choose the optimal implementation automatically. Read more here: astropy.stats.LombScargle. The Lomb-S
r/haskell - Show /r/haskell: a software defined radio library written (mostly) in Haskell
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Hacking an epic NHL goal celebration with a hue light show and real-time machine learning - François Maillet - Blog
Hacking an epic NHL goal celebration with a hue light show and real-time machine learning See media coverage of this blog post. In Montréal this time of year, the city literally stops and everyone starts talking, thinking and dreaming about a single thing: the Stanley Cup Playoffs. Even most of those who don’t normally care the least bit about hockey transform into die hard fans of the Montréal Ca
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Building a Signal Analyzer with Modern Web Tech - Casey Primozic's Homepage
GitHub - RustAudio/dasp: The fundamentals for Digital Audio Signal Processing. Formerly `sample`.
Rust for Low Power Digital Signal Processing
Will Drevo | Audio Fingerprinting
Reddit - Dive into anything
A transcompiler to generate high-performance DSP code