Visual Analyser 4.0: Great Oscilloscope and Spectrum Analyser (Windows)

One Great Freeware Application

Software Located Here: Visual Analyser

Features:

1. Oscilloscope (dual channel, xy, time division, trigger);
2. Spectrum Analyzer with amplitude and phase display (linear, log, lines, bar, octaves band analysis 1/3, 1/6, 1/9, 1/12, 1/24);
3. Wave-form generator with “custom functions”, triangular, square, sinus, white noise and pulse generation (NO ALIASING);
4. Frequency meter (in time and frequency domain) and counter; in time domain by means of a real time zero crossing algorithm;
5. Volt meter with DC, true RMS, peak to peak and mean display;
6. Filtering (low pass, hi pass, band pass, band reject, notch, “diode”, DC removal);
7. Memo windows (data log) for analysis and storage of time series, spectrum and phase  with “triggering” events; possibility to save in various formats and display them with a viewer;
8. A TRUE software digital analog conversion (for complete signal reconstruction using Nyquist theorem) ;
9. Frequency compensation: one can create/edit a custom frequency response and  add it to the spectrum analyzer spectrum ; added standard weighting curves A,B,C in parallel with custom frequency response;
10. Support for 8/16/24 bit soundcard by means of API calls;
11. Unlimited frequency sampling (depend from the capabilities of your soundcard);
12. Cepstrum analysis;
13. Cross Correlation;
14. Extended THD measurements, with automatic sweep and compensation.
15. ZRLC-meter with Vector scope, automatic sweep in time and frequency for automatic measurement.

 

AudioAnalysis: Displaying the Spectrum and Spectrogram of Incoming Audio in Realtime

Software Is Found Here: AudioAnalysis

Features

It is possible to control the following features:
colour or greyscale plotting of spectrogram
amplitude or phase (amplitude is probably most interesting)
linear and logarithmic frequency distribution
amplitude range (= “filtering”)
low and high frequency values

The program also have the optional feature of displaying the following perceptually relevant features:
Pitch is measured with an adapted version of fiddle~ from Miller Puckette
Brightness is measured with the spectral centroid
Loudness is measured with the spectral energy
Noisiness is measured with the Bark-based spectral flatness measure (SFM)
The bark spectrum is an auditory model spectrum decomposition

AudioAnalysis: An Application For Realtime Sound Analysis

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A Short Video Of The Software In Action

Vodpod videos no longer available.

“This is an application for realtime sound analysis. The input can be either from a microphone, or playback of an audio file. Various physical and perceptual features are plotted over time: brightness, loudness, noisiness, pitch estimation, spectrogram and BARK scale spectrogram. The application is meant for realtime use only, so there are no options for storing text files or images.”

Hard Day’s Night Chord-Dm7(9/11) ?

Waveform, Spectrogram and Spectrum Created In Sonic Visualizer

 

The Famous Chord Itself

via: NoiseAddicts

“It’s the most famous chord in rock ‘n’ roll, an instantly recognizable twang rolling through the open strings on George Harrison’s 12-string Rickenbacker. It evokes a Pavlovian response from music fans as they sing along to the refrain that follows:
“It’s been a hard day’s night
And I’ve been working like a dog”
The opening chord to “A Hard Day’s Night” is also famous because, for 40 years, no one quite knew exactly what chord Harrison was playing.
There were theories aplenty and musicians, scholars and amateur guitar players all gave it a try, but it took a Dalhousie mathematician to figure out the exact formula.
Four years ago, inspired by reading news coverage about the song’s 40th anniversary, Jason Brown of Dalhousie’s Department of Mathematics decided to try and see if he could apply a mathematical calculation known as Fourier transform to solve the Beatles’ riddle. The process allowed him to decompose the sound into its original frequencies using computer software and parse out which notes were on the record.
It worked, to a point: the frequencies he found didn’t match the known instrumentation on the song. “George played a 12-string Rickenbacker, Lennon had his six string, Paul had his bass…none of them quite fit what I found,” he explains. “Then the solution hit me: it wasn’t just those instruments. There was a piano in there as well, and that accounted for the problematic frequencies.”
“I started playing guitar because I heard a Beatles record—that was it for my piano lessons,” says Brown. “I had tried to play the first chord of the song many takes over the years. It sounds outlandish that someone could create a mystery around a chord from a time where artists used such simple recording techniques. It’s quite remarkable.”
Dr. Brown deduces that another George—George Martin, the Beatles producer—also played on the chord, adding a piano chord that included an F note impossible to play with the other notes on the guitar. The resulting chord was completely different than anything found in the literature about the song to date, which is one reason why Dr. Brown’s findings garnered international attention. He laughs that he may be the only mathematician ever to be published in Guitar Player magazine.
“Music and math are not really that far apart,” he says. “They’ve found that children that listen to music do better at math, because math and music both use the brain in similar ways. The best music is analytical and pattern-filled and mathematics has a lot of aesthetics to it. They complement each other well.”

With Added Discussion via Marginal Revolution

Detailed Discussion via Everything2

Reference

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WiFi Camera

“The Wifi Camera is a camera that takes “pictures” of spaces illuminated by wifi in much the same way that a traditional camera takes pictures of spaces illuminated by visible light.

The camera reveals the electromagnetic space of our devices and the shadows that we create within such spaces, in particular our wifi networks which are increasingly found in our daily lives, in coffee shops, offices and homes throughout cities of the developed world.”

Press Here To Enter The WiFi Site