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WaveWarp 2.0 Component

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Functional Description | Algorithm | Signal Implementations | Related Components | Example DWBs usage

Spectrum Analysers:

Spectrum Analyser

Functional Description
Real-time plot of the spectrum of the input audio signal, with built-in averaging and adjustable frequency and amplitude scales. For stereo signals, the spectrum for each channel is displayed in a separate plot. The spectral data can be exported to a file for off-line analysis.

The spectrum analyser properties are adjusted via the Parameter Window, as summarised in the following table.

Parameter Purpose
"Window length" slider Adjusts the length of the input data buffer used to compute each successive spectrum measurement. The FFT buffer size is computed from the "Window length" rounded up to the nearest power of 2 (for efficient FFT computation). If "double-padding" is selected, the FFT buffer size is doubled (after the rounding) to improve the smoothness of the spectrum between successive FFT bins (but without increasing the underlying frequency resolution). The input data buffer is windowed (using a selected profile), then extended to the length of the FFT buffer by padding with zeros (on either side).
"Lower frequency" slider Adjusts the lower frequency limit of the spectrum plot. The "Reset" button restores the default setting. The plot is updated whenever the FFT buffer is re-filled. The time elapsed between successive updates is displayed as the "Refresh period". The number of FFT bins within the selected plot frequency range is also displayed.
"Upper frequency" slider Adjusts the upper frequency limit of the spectrum plot. The "Reset" button restores the default setting.
"Y-scale" slider Adjusts the amplitude scale of the spectrum plot. The amplitude is scaled naturally, i.e. corresponds to the actual rms value of the signal. (For example, a pure sine wave with an amplitude of 1, will have a single spike in its spectrum , with an rms amplitude of 0.707 (un-windowed)). If "dB scale" is selected in the plot window, the plotted quantity (per frequency point) is A dB = 20 log10 A, where A is the rms amplitude. The "Reset" button restores the default setting for the amplitude plot-scale.
"Averaging" slider Adjusts the averaging time for the spectrum computation and display.
"Window type" selection Selects the profile of the windowing function applied to the input data.
"Freeze/Unfreeze" button Freeze-frame toggle control. When the plot has been frozen, it is not updated again until it has been unfrozen (even after the "stop" button has been pressed).
"Save average spectrum to file" dialog Exports the current averaged spectrum measurement to an ASCII file for off-line analysis. For stereo signals, the average spectrum (across the channels) is saved. The ASCII file format for storing complex-valued spectra is described in the WaveWarp Users' Guide. Note: for MATLAB® users, the measured spectra can be imported into MATLAB in a straightforward manner. The "wwmatlab" sub-directory of the WaveWarp root directory contains the necessary function m-files (plus example scripts) for doing so, thereby providing ready access to MATLAB's powerful mathematical tools for off-line analysis of the measured spectrum. (Refer to the WaveWarp Users' Guide for a summary of all bundled m-files for working with MATLAB in a variety of areas in addition to spectral analysis).

Algorithm
Each successive input buffer is transformed to the frequency domain using the windowed-FFT. Spectral averaging is performed point-by-point in the frequency domain using a first-order low-pass filter.

For an introduction to the Discrete Fourier Transform and the FFT, see, for example, [St] sections 4.1 and 4.2. For further introductory information (with emphasis on audio applications), and for discussions on spectral measurements, zero-padding, windowing, and the Short Time Fourier Transform (STFT) for audio applications, see [Roa] p. 1084-1112 and [Moore] p. 61-111.

Signal Implementations
Audio signals Control signals Description
Single input mono n/a Computes and displays (in real-time) the spectrum of the mono input
Single input stereo n/a Computes and displays (in real-time) the spectrum of the stereo input, with a separate plot per channel
Related components:
Example DrawingBoards illustrating usage:

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