Code covered by the BSD License
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ACdsgn(Fs)
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ArgStruct=parseArgs(args,ArgS...
Helper function for parsing varargin.
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[Fsn, p, q, errors]=get_p_q2(...
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[SP, f, bin_size, num_average...
% pressure_spectra: Calculates an accurate estimate of the pressure spectra
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[SP, f, num_averages_out]=spe...
% spectra_estimate: Is a rough estimate of the pressure spectra
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[SP2, mean_array2]=sub_mean(S...
% sub_mean: Removes the running average from a time record given a sampling rate and high pass cutoff frequency.
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[SPa]=test_pressure_spectra(d...
% test_spectra_estimate: runs demos for the pressure spectra program.
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[bin_size, num_averages_out, ...
% number_of_averages: Calculates the number of points not overlapped from the array size, bin size, and number of averages
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[bz, az]=bessel_digital(Fs, F...
% bessel_digital: creates a digital low pass bessel filter of order n
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[cfa, SP, f, f_cal]=mic_calib...
% mic_calib: Uses a flat top window to calibrate using A-weighted or Linear weighting
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[ftwcf]=window_correction_fac...
% window_correction_factor: Computes the factor for calibrating a Fourier Transform given specific processing parameters
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[m2]=geospace(a, b, n, flag)
% geospace: caculates a geometric sequence or psuedogeometric sequence from a to b with n elements
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[prms]=rms_val(p, dim)
% rms_val: Calculates the rms value along a specific dimension
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[varargout]=convert_double(va...
% This program converts the inputs into double precision arrays. Then
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[w]=flat_top(N, type)
% Flat top windows are used for calibration, because the wide main lobe
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[y, x, a]=match_height_and_sl...
% match_height_and_slopes2: creates a quartic with specifed height and slope at the end points.
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[y2, num_settle_pts, settling...
% filter_settling_data: Creates data to append to a time record for settling a filter
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[y2]=remove_filter_settling_d...
% remove_filter_settling_data: removes data added to time records to settle the filter
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[yAC, errors]=ACweight_time_f...
% ACweight_time_filter: Applies an A or C weighting time filter to a sound recording
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[y]=moving(x,m,fun)
MOVING will compute moving averages of order n (best taken as odd)
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[y_out, b, a]=bessel_antialia...
% bessel_antialias: applies an antialiasing digital Bessel filter
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[y_out, t_out, b, a]=bessel_d...
% bessel_down_sample: applies an antialiasing digital Bessel filter
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[y_out, x_out, y_in]=resample...
% resample_interp3: resamples using interp1 with additional options
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h=subaxis(varargin)
SUBAXIS Create axes in tiled positions. (just like subplot)
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loc=LMSloc(X)
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View all files
Calibrated Spectral Analysis
by Edward Zechmann
15 Nov 2007
(Updated 20 Apr 2011)
Simple Fourier Spectral Analysis of sound pressure time record.
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Watch this File
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| File Information |
| Description |
Perform Calibrated Spectral Analysis. Use mic_calilb to calculate the calibration factor. Multiply the time records by the calibration factor and process the time records with pressure _spectra. pressure_spectra is the main program and allows the user to input the bin_size, number of averages, sampling frequency, and has options for maximizing the number of averages and forcing the bin_size to a factor of 2. |
| Acknowledgements |
The author wishes to acknowledge the following in the creation of this submission:
octave, spectral
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| Required Products |
Signal Processing Toolbox
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| MATLAB release |
MATLAB 7.11 (2010b)
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| Updates |
| 28 Sep 2009 |
Improved A-weighting filter characteristics. |
| 19 Feb 2011 |
Removed the running average. Updated comments. |
| 20 Apr 2011 |
Fixed bugs in examples. Updated Comments |
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