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#signalprocessing

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🚀 BluMagic Update 🚀

Dear technical readers,

The commissioning process is progressing smoothly, and we’re excited to announce that we can now play audio through our amplifier! This marks a major achievement as we continue to fine-tune the system.

We’re looking forward to sharing more updates soon!

Best regards,
The BluMagic Team
#BlueMagic #ProjectMilestone #Hardware #AudioEngineering #SignalProcessing #Innovation #Mikroelektronik #Leistungselektronik @ElectronicsAndDrives

I’m giving a ‘special talk’ on April 12 (tomorrow) at 14:00 at @clab.tw 科技媒體實驗平台 in Taipei (Taiwan), about “Temporary and Distributed Libraries, active and independent librarianship”, as part of the great Radiotopia event co-organised by the Toolkit of Care project and C-LAB, with artists and activists using radio as a medium and a concept, curated by @shulea2, and coordinated by @stwst_linz (Linz, Austria) and @agenceapo33 (Nantes, France).
radiotopia.clab.org.tw/

#antenna #signalprocessing #audioart #binaural #electromagnetic #interference #microphones #audiorecording #radio #radioart #radiowaves #transmissionart #soundfrequency #sound #soundart #soundartist #klangkunst #soundinstallation #soundartinstallation #soundsculpture
#soundscapes #acousticspace #sonicworld #vibration #soundarchive #audiology #soundscience #soundstudies

The Fourier Transform is a mathematical operation that transforms a function of time (or space) into a function of frequency. It decomposes a complex signal into its constituent sinusoidal components, each with a specific frequency, amplitude, and phase. This is particularly useful in many fields, such as signal processing, physics, and engineering, because it allows for analysing the frequency characteristics of signals. The Fourier Transform provides a bridge between the time and frequency domains, enabling the analysis and manipulation of signals in more intuitive and computationally efficient ways. The result of applying a Fourier Transform is often represented as a spectrum, showing how much of each frequency is present in the original signal.

\[\Large\boxed{\boxed{\widehat{f}(\xi) = \int_{-\infty}^{\infty} f(x)\ e^{-i 2\pi \xi x}\,\mathrm dx, \quad \forall\xi \in \mathbb{R}.}}\]

Inverse Fourier Transform:
\[\Large\boxed{\boxed{ f(x) = \int_{-\infty}^{\infty} \widehat f(\xi)\ e^{i 2 \pi \xi x}\,\mathrm d\xi,\quad \forall x \in \mathbb R.}}\]

The equation allows us to listen to mp3s today. Digital Music Couldn’t Exist Without the Fourier Transform: bit.ly/22kbNfi

Gizmodo · Digital Music Couldn't Exist Without the Fourier TransformThis is the Fourier Transform. You can thank it for providing the music you stream every day, squeezing down the images you see on the Internet into tiny

Were polyphonic filters common in the 1960s? I've discussed this with @ezra and we think the answer is no, but I wanted to ask around here too. I am aware of only one example of a customized band pass filter from c. 1966, which could be played with a keyboard, allowing for polyphony, i.e., (I think) playing the input through several separate passbands simultaneously, where the width of each passband would be (up to?) a terce or octave. #SoundSynthesis #SignalProcessing #ExperimentalMusic