From ddb67bf59e3d45d6dc0cef8b43681249b8f2af7d Mon Sep 17 00:00:00 2001 From: Guillaume Galibert Date: Wed, 16 Jan 2019 17:34:26 +1100 Subject: [PATCH 1/3] Improved performance and fix parsing for full directional spectrum data from .wds file. Fix case for when full directional spectrum data from .wds file is missing data for some time stamps. --- Parser/readAWACWaveAscii.m | 21 ++++++++++----------- 1 file changed, 10 insertions(+), 11 deletions(-) diff --git a/Parser/readAWACWaveAscii.m b/Parser/readAWACWaveAscii.m index 6e8493090..80700e50d 100644 --- a/Parser/readAWACWaveAscii.m +++ b/Parser/readAWACWaveAscii.m @@ -340,20 +340,19 @@ waveData.fullSpectrum = nan(nTime, nDirFreq, nDir); - % we should have nTime samples so : - nFreqFullSpectrum = round(length(pwrFreqDir(2:end,:)) / nTime); + % we should have nTime samples such that : + nTimeFullSpectrum = size(pwrFreqDir(2:end,:), 1) / nDirFreq; + + if nTimeFullSpectrum ~= nTime + fprintf('%s\n', ['Info : Full directional spectrum data found in ' fileRadName '.wds' ... + ' is missing data for ' num2str(nTime-nTimeFullSpectrum) ' time samples. We assumed these were the last time samples.']); + end % rearrange full power spectrum matrix so dimensions % are ordered: time, frequency, direction - start = 2; - for i=1:nTime - if start+nFreqFullSpectrum-1 <= size(pwrFreqDir,1) - waveData.fullSpectrum(i, :, :) = pwrFreqDir(start:start+nFreqFullSpectrum-1,:); - start = start+nFreqFullSpectrum; - else - break; - end - end + pwrFreqDir = pwrFreqDir(2:end,:); + [nRow,nColumn] = size(pwrFreqDir); + waveData.fullSpectrum(1:nTimeFullSpectrum, :, :) = permute(reshape(pwrFreqDir', [nColumn, nRow/nTimeFullSpectrum, nTimeFullSpectrum]), [3, 2, 1]); clear pwrFreqDir catch e fprintf('%s\n', ['Warning : Wave data related to ' fileRadName ... From c566bbc90bd5564993b3cf627952e970f051879b Mon Sep 17 00:00:00 2001 From: Guillaume Galibert Date: Mon, 21 Jan 2019 16:18:40 +1100 Subject: [PATCH 2/3] Fix typo and other bugs in signatureParse to support .mat datasets in ENU coordinates. --- Parser/signatureParse.m | 413 ++++++++++++++++++++-------------------- 1 file changed, 209 insertions(+), 204 deletions(-) diff --git a/Parser/signatureParse.m b/Parser/signatureParse.m index a958f7ec5..f6f9cf76e 100644 --- a/Parser/signatureParse.m +++ b/Parser/signatureParse.m @@ -246,81 +246,85 @@ if strcmpi(structures.Config.Plan_AverageEnabled, 'True') acquisitionMode{end+1} = 'Average_'; end - if strcmpi(structures.Config.Alt_Plan_BurstEnabled, 'True') && ~isAvgd - % we need to compare structures.Config.Plan_xxx VS structures.Config.Alt_Plan_xxx - % to see if we can put together the two datasets - configPlanFields = configFields(strncmpi('Plan_', configFields, 5) & ~strncmpi('Plan_Average', configFields, 12)); - configAltPlanFields = configFields(strncmpi('Alt_Plan_', configFields, 9) & ~strncmpi('Alt_Plan_Average', configFields, 16)); - - nPlanFields = length(configPlanFields); - samePlan = false(nPlanFields, 1); - for i=1:nPlanFields - if ischar(structures.Config.(configPlanFields{i})) - samePlan(i) = strcmp(structures.Config.(configPlanFields{i}), structures.Config.(configAltPlanFields{i})); - else - samePlan(i) = structures.Config.(configPlanFields{i}) == structures.Config.(configAltPlanFields{i}); + if isfield(structures.Config, 'Alt_Plan_BurstEnabled') + if strcmpi(structures.Config.Alt_Plan_BurstEnabled, 'True') && ~isAvgd + % we need to compare structures.Config.Plan_xxx VS structures.Config.Alt_Plan_xxx + % to see if we can put together the two datasets + configPlanFields = configFields(strncmpi('Plan_', configFields, 5) & ~strncmpi('Plan_Average', configFields, 12)); + configAltPlanFields = configFields(strncmpi('Alt_Plan_', configFields, 9) & ~strncmpi('Alt_Plan_Average', configFields, 16)); + + nPlanFields = length(configPlanFields); + samePlan = false(nPlanFields, 1); + for i=1:nPlanFields + if ischar(structures.Config.(configPlanFields{i})) + samePlan(i) = strcmp(structures.Config.(configPlanFields{i}), structures.Config.(configAltPlanFields{i})); + else + samePlan(i) = structures.Config.(configPlanFields{i}) == structures.Config.(configAltPlanFields{i}); + end end - end - - configBurstFields = configFields(strncmpi('Burst_', configFields, 6)); - configAltBurstFields = configFields(strncmpi('Alt_Burst_', configFields, 10)); - - nBurstFields = length(configBurstFields); - sameBurst = false(nBurstFields, 1); - for i=1:nBurstFields - if ischar(structures.Config.(configBurstFields{i})) - sameBurst(i) = strcmp(structures.Config.(configBurstFields{i}), structures.Config.(configAltBurstFields{i})); + + configBurstFields = configFields(strncmpi('Burst_', configFields, 6)); + configAltBurstFields = configFields(strncmpi('Alt_Burst_', configFields, 10)); + + nBurstFields = length(configBurstFields); + sameBurst = false(nBurstFields, 1); + for i=1:nBurstFields + if ischar(structures.Config.(configBurstFields{i})) + sameBurst(i) = strcmp(structures.Config.(configBurstFields{i}), structures.Config.(configAltBurstFields{i})); + else + sameBurst(i) = all(all(structures.Config.(configBurstFields{i}) == structures.Config.(configAltBurstFields{i}))); + end + end + + if all(samePlan) && all(sameBurst) + % can be added to former dataset + [~, iBurst] = find(strcmp(acquisitionMode, 'Burst_')); + acquisitionMode{end+1, iBurst} = 'Alt_Burst_'; else - sameBurst(i) = all(all(structures.Config.(configBurstFields{i}) == structures.Config.(configAltBurstFields{i}))); + % distinct dataset + acquisitionMode{1, end+1} = 'Alt_Burst_'; end end - - if all(samePlan) && all(sameBurst) - % can be added to former dataset - [~, iBurst] = find(strcmp(acquisitionMode, 'Burst_')); - acquisitionMode{end+1, iBurst} = 'Alt_Burst_'; - else - % distinct dataset - acquisitionMode{1, end+1} = 'Alt_Burst_'; - end end - if strcmpi(structures.Config.Alt_Plan_AverageEnabled, 'True') - % we need to compare structures.Config.Plan_xxx VS structures.Config.Alt_Plan_xxx - % to see if we can put together the two datasets - configPlanFields = configFields(strncmpi('Plan_', configFields, 5) & ~strncmpi('Plan_Burst', configFields, 10)); - configAltPlanFields = configFields(strncmpi('Alt_Plan_', configFields, 9) & ~strncmpi('Alt_Plan_Burst', configFields, 14)); - - nPlanFields = length(configPlanFields); - samePlan = false(nPlanFields, 1); - for i=1:nPlanFields - if ischar(structures.Config.(configPlanFields{i})) - samePlan(i) = strcmp(structures.Config.(configPlanFields{i}), structures.Config.(configAltPlanFields{i})); - else - samePlan(i) = structures.Config.(configPlanFields{i}) == structures.Config.(configAltPlanFields{i}); + if isfield(structures.Config, 'Alt_Plan_AverageEnabled') + if strcmpi(structures.Config.Alt_Plan_AverageEnabled, 'True') + % we need to compare structures.Config.Plan_xxx VS structures.Config.Alt_Plan_xxx + % to see if we can put together the two datasets + configPlanFields = configFields(strncmpi('Plan_', configFields, 5) & ~strncmpi('Plan_Burst', configFields, 10)); + configAltPlanFields = configFields(strncmpi('Alt_Plan_', configFields, 9) & ~strncmpi('Alt_Plan_Burst', configFields, 14)); + + nPlanFields = length(configPlanFields); + samePlan = false(nPlanFields, 1); + for i=1:nPlanFields + if ischar(structures.Config.(configPlanFields{i})) + samePlan(i) = strcmp(structures.Config.(configPlanFields{i}), structures.Config.(configAltPlanFields{i})); + else + samePlan(i) = structures.Config.(configPlanFields{i}) == structures.Config.(configAltPlanFields{i}); + end end - end - - configAvgFields = configFields(strncmpi('Average_', configFields, 8)); - configAltAvgFields = configFields(strncmpi('Alt_Average_', configFields, 12)); - - nAvgFields = length(configAvgFields); - sameAvg = false(nAvgFields, 1); - for i=1:nAvgFields - if ischar(structures.Config.(configAvgFields{i})) - sameAvg(i) = strcmp(structures.Config.(configAvgFields{i}), structures.Config.(configAltAvgFields{i})); + + configAvgFields = configFields(strncmpi('Average_', configFields, 8)); + configAltAvgFields = configFields(strncmpi('Alt_Average_', configFields, 12)); + + nAvgFields = length(configAvgFields); + sameAvg = false(nAvgFields, 1); + for i=1:nAvgFields + if ischar(structures.Config.(configAvgFields{i})) + sameAvg(i) = strcmp(structures.Config.(configAvgFields{i}), structures.Config.(configAltAvgFields{i})); + else + sameAvg(i) = all(all(structures.Config.(configAvgFields{i}) == structures.Config.(configAltAvgFields{i}))); + end + end + + if all(samePlan) && all(sameAvg) + % can be added to former dataset + [~, iAverage] = find(strcmp(acquisitionMode, 'Average_')); + acquisitionMode{end+1, iAverage} = 'Alt_Average_'; else - sameAvg(i) = all(all(structures.Config.(configAvgFields{i}) == structures.Config.(configAltAvgFields{i}))); + % distinct dataset + acquisitionMode{1, end+1} = 'Alt_Average_'; end end - - if all(samePlan) && all(sameAvg) - % can be added to former dataset - [~, iAverage] = find(strcmp(acquisitionMode, 'Average_')); - acquisitionMode{end+1, iAverage} = 'Alt_Average_'; - else - % distinct dataset - acquisitionMode{1, end+1} = 'Alt_Average_'; - end end % if strcmpi(structures.Config.Burst_Altimeter, 'True') % acquisitionMode{end+1} = 'BurstRawAltimeter_'; @@ -352,10 +356,10 @@ % support velocity data in ENU or beam coordinates data.(acquisitionMode{1, i}).isVelocityData = false; if isfield(structures.Data, [acquisitionMode{1, i} 'Velocity_ENU']) - data.(acquisitionMode{1, i}).Velocity_E = squeeze(structures.Data.([acquisitionMode{1, i} 'ENU'])(:, 1, :)); - data.(acquisitionMode{1, i}).Velocity_N = squeeze(structures.Data.([acquisitionMode{1, i} 'ENU'])(:, 2, :)); - data.(acquisitionMode{1, i}).Velocity_U = squeeze(structures.Data.([acquisitionMode{1, i} 'ENU'])(:, 3, :)); - data.(acquisitionMode{1, i}).Velocity_U2 = squeeze(structures.Data.([acquisitionMode{1, i} 'ENU'])(:, 4, :)); + data.(acquisitionMode{1, i}).Velocity_E = squeeze(structures.Data.([acquisitionMode{1, i} 'Velocity_ENU'])(:, 1, :)); + data.(acquisitionMode{1, i}).Velocity_N = squeeze(structures.Data.([acquisitionMode{1, i} 'Velocity_ENU'])(:, 2, :)); + data.(acquisitionMode{1, i}).Velocity_U = squeeze(structures.Data.([acquisitionMode{1, i} 'Velocity_ENU'])(:, 3, :)); + data.(acquisitionMode{1, i}).Velocity_U2 = squeeze(structures.Data.([acquisitionMode{1, i} 'Velocity_ENU'])(:, 4, :)); data.(acquisitionMode{1, i}).isVelocityData = true; data.(acquisitionMode{1, i}).coordSys = 'ENU'; @@ -433,147 +437,148 @@ data.(acquisitionMode{1, i}).speedOfSound = structures.Data.([acquisitionMode{1, i} 'Soundspeed']); data.(acquisitionMode{1, i}).Pressure = structures.Data.([acquisitionMode{1, i} 'Pressure']); - if ~isempty(acquisitionMode{2, i}) - % we're adding the similar dataset to the existing one - data.(acquisitionMode{1, i}).Time = [data.(acquisitionMode{1, i}).Time; ... - structures.Data.([acquisitionMode{2, i} 'Time'])]; - - data.(acquisitionMode{1, i}).nSamples = length(data.(acquisitionMode{1, i}).Time); - - data.(acquisitionMode{1, i}).Status = [data.(acquisitionMode{1, i}).Status; ... - dec2bin(bytecast(structures.Data.([acquisitionMode{2, i} 'Status']), 'L', 'uint32', cpuEndianness), 32)]; - data.(acquisitionMode{1, i}).Error = [data.(acquisitionMode{1, i}).Error; ... - structures.Data.([acquisitionMode{2, i} 'Error'])]; % error codes for each cell of a velocity profile inferred from the beams. 0=good; otherwise error. See http://www.nortek-as.com/en/knowledge-center/forum/waves/20001875?b_start=0#769595815 - data.(acquisitionMode{1, i}).AmbiguityVel = [data.(acquisitionMode{1, i}).AmbiguityVel; ... - structures.Data.([acquisitionMode{2, i} 'AmbiguityVel'])]; - data.(acquisitionMode{1, i}).TransmitEnergy = [data.(acquisitionMode{1, i}).TransmitEnergy; ... - structures.Data.([acquisitionMode{2, i} 'TransmitEnergy'])]; - data.(acquisitionMode{1, i}).NominalCorrelation = [data.(acquisitionMode{1, i}).NominalCorrelation; ... - structures.Data.([acquisitionMode{2, i} 'NominalCorrelation'])]; - - % only support velocity data in ENU coordinates - if isfield(structures.Data, [acquisitionMode{2, i} 'Velocity_ENU']) - data.(acquisitionMode{1, i}).Velocity_E = [data.(acquisitionMode{1, i}).Velocity_E; ... - squeeze(structures.Data.([acquisitionMode{2, i} 'ENU'])(:, 1, :))]; - data.(acquisitionMode{1, i}).Velocity_N = [data.(acquisitionMode{1, i}).Velocity_N; ... - squeeze(structures.Data.([acquisitionMode{2, i} 'ENU'])(:, 2, :))]; - data.(acquisitionMode{1, i}).Velocity_U = [data.(acquisitionMode{1, i}).Velocity_U; ... - squeeze(structures.Data.([acquisitionMode{2, i} 'ENU'])(:, 3, :))]; - data.(acquisitionMode{1, i}).Velocity_U2 = [data.(acquisitionMode{1, i}).Velocity_U2; ... - squeeze(structures.Data.([acquisitionMode{2, i} 'ENU'])(:, 4, :))]; + if size(acquisitionMode, 1) == 2 + if ~isempty(acquisitionMode{2, i}) + % we're adding the similar dataset to the existing one + data.(acquisitionMode{1, i}).Time = [data.(acquisitionMode{1, i}).Time; ... + structures.Data.([acquisitionMode{2, i} 'Time'])]; - elseif isfield(structures.Data, [acquisitionMode{2, i} 'VelEast']) - data.(acquisitionMode{1, i}).Velocity_E = [data.(acquisitionMode{1, i}).Velocity_E; ... - structures.Data.([acquisitionMode{2, i} 'VelEast'])]; - data.(acquisitionMode{1, i}).Velocity_N = [data.(acquisitionMode{1, i}).Velocity_N; ... - structures.Data.([acquisitionMode{2, i} 'VelNorth'])]; - if isfield(structures.Data, [acquisitionMode{2, i} 'VelUp']) - data.(acquisitionMode{1, i}).Velocity_U = [data.(acquisitionMode{1, i}).Velocity_U; ... - structures.Data.([acquisitionMode{2, i} 'VelUp'])]; - else - data.(acquisitionMode{1, i}).Velocity_U = [data.(acquisitionMode{1, i}).Velocity_U; ... - structures.Data.([acquisitionMode{2, i} 'VelUp1'])]; - end - data.(acquisitionMode{1, i}).Velocity_U2 = [data.(acquisitionMode{1, i}).Velocity_U2; ... - structures.Data.([acquisitionMode{2, i} 'VelUp2'])]; + data.(acquisitionMode{1, i}).nSamples = length(data.(acquisitionMode{1, i}).Time); - elseif isfield(structures.Data, [acquisitionMode{1, i} 'VelBeam1']) - data.(acquisitionMode{1, i}).Velocity_1 = [data.(acquisitionMode{1, i}).Velocity_1; ... - structures.Data.([acquisitionMode{2, i} 'VelBeam1'])]; - data.(acquisitionMode{1, i}).Velocity_2 = [data.(acquisitionMode{1, i}).Velocity_2; ... - structures.Data.([acquisitionMode{2, i} 'VelBeam2'])]; - data.(acquisitionMode{1, i}).Velocity_3 = [data.(acquisitionMode{1, i}).Velocity_3; ... - structures.Data.([acquisitionMode{2, i} 'VelBeam3'])]; - data.(acquisitionMode{1, i}).Velocity_4 = [data.(acquisitionMode{1, i}).Velocity_4; ... - structures.Data.([acquisitionMode{2, i} 'VelBeam4'])]; + data.(acquisitionMode{1, i}).Status = [data.(acquisitionMode{1, i}).Status; ... + dec2bin(bytecast(structures.Data.([acquisitionMode{2, i} 'Status']), 'L', 'uint32', cpuEndianness), 32)]; + data.(acquisitionMode{1, i}).Error = [data.(acquisitionMode{1, i}).Error; ... + structures.Data.([acquisitionMode{2, i} 'Error'])]; % error codes for each cell of a velocity profile inferred from the beams. 0=good; otherwise error. See http://www.nortek-as.com/en/knowledge-center/forum/waves/20001875?b_start=0#769595815 + data.(acquisitionMode{1, i}).AmbiguityVel = [data.(acquisitionMode{1, i}).AmbiguityVel; ... + structures.Data.([acquisitionMode{2, i} 'AmbiguityVel'])]; + data.(acquisitionMode{1, i}).TransmitEnergy = [data.(acquisitionMode{1, i}).TransmitEnergy; ... + structures.Data.([acquisitionMode{2, i} 'TransmitEnergy'])]; + data.(acquisitionMode{1, i}).NominalCorrelation = [data.(acquisitionMode{1, i}).NominalCorrelation; ... + structures.Data.([acquisitionMode{2, i} 'NominalCorrelation'])]; - end - if data.(acquisitionMode{1, i}).isVelocityData - if isfield(structures.Data, [acquisitionMode{2, i} 'Amplitude_Beam']) - data.(acquisitionMode{1, i}).Backscatter1 = [data.(acquisitionMode{1, i}).Backscatter1; ... - squeeze(structures.Data.([acquisitionMode{2, i} 'Amplitude_Beam'])(:, 1, :))*2]; % looks like the .mat format is giving dB by default with dB = raw counts * 0.5 - data.(acquisitionMode{1, i}).Backscatter2 = [data.(acquisitionMode{1, i}).Backscatter2; ... - squeeze(structures.Data.([acquisitionMode{2, i} 'Amplitude_Beam'])(:, 2, :))*2]; - data.(acquisitionMode{1, i}).Backscatter3 = [data.(acquisitionMode{1, i}).Backscatter3; ... - squeeze(structures.Data.([acquisitionMode{2, i} 'Amplitude_Beam'])(:, 3, :))*2]; - data.(acquisitionMode{1, i}).Backscatter4 = [data.(acquisitionMode{1, i}).Backscatter4; ... - squeeze(structures.Data.([acquisitionMode{2, i} 'Amplitude_Beam'])(:, 4, :))*2]; - elseif isfield(structures.Data, [acquisitionMode{2, i} 'AmpBeam1']) - data.(acquisitionMode{1, i}).Backscatter1 = [data.(acquisitionMode{1, i}).Backscatter1; ... - structures.Data.([acquisitionMode{2, i} 'AmpBeam1'])*2]; - data.(acquisitionMode{1, i}).Backscatter2 = [data.(acquisitionMode{1, i}).Backscatter2; ... - structures.Data.([acquisitionMode{2, i} 'AmpBeam2'])*2]; - data.(acquisitionMode{1, i}).Backscatter3 = [data.(acquisitionMode{1, i}).Backscatter3; ... - structures.Data.([acquisitionMode{2, i} 'AmpBeam3'])*2]; - data.(acquisitionMode{1, i}).Backscatter4 = [data.(acquisitionMode{1, i}).Backscatter4; ... - structures.Data.([acquisitionMode{2, i} 'AmpBeam4'])*2]; + % only support velocity data in ENU coordinates + if isfield(structures.Data, [acquisitionMode{2, i} 'Velocity_ENU']) + data.(acquisitionMode{1, i}).Velocity_E = [data.(acquisitionMode{1, i}).Velocity_E; ... + squeeze(structures.Data.([acquisitionMode{2, i} 'Velocity_ENU'])(:, 1, :))]; + data.(acquisitionMode{1, i}).Velocity_N = [data.(acquisitionMode{1, i}).Velocity_N; ... + squeeze(structures.Data.([acquisitionMode{2, i} 'Velocity_ENU'])(:, 2, :))]; + data.(acquisitionMode{1, i}).Velocity_U = [data.(acquisitionMode{1, i}).Velocity_U; ... + squeeze(structures.Data.([acquisitionMode{2, i} 'Velocity_ENU'])(:, 3, :))]; + data.(acquisitionMode{1, i}).Velocity_U2 = [data.(acquisitionMode{1, i}).Velocity_U2; ... + squeeze(structures.Data.([acquisitionMode{2, i} 'Velocity_ENU'])(:, 4, :))]; + + elseif isfield(structures.Data, [acquisitionMode{2, i} 'VelEast']) + data.(acquisitionMode{1, i}).Velocity_E = [data.(acquisitionMode{1, i}).Velocity_E; ... + structures.Data.([acquisitionMode{2, i} 'VelEast'])]; + data.(acquisitionMode{1, i}).Velocity_N = [data.(acquisitionMode{1, i}).Velocity_N; ... + structures.Data.([acquisitionMode{2, i} 'VelNorth'])]; + if isfield(structures.Data, [acquisitionMode{2, i} 'VelUp']) + data.(acquisitionMode{1, i}).Velocity_U = [data.(acquisitionMode{1, i}).Velocity_U; ... + structures.Data.([acquisitionMode{2, i} 'VelUp'])]; + else + data.(acquisitionMode{1, i}).Velocity_U = [data.(acquisitionMode{1, i}).Velocity_U; ... + structures.Data.([acquisitionMode{2, i} 'VelUp1'])]; + end + data.(acquisitionMode{1, i}).Velocity_U2 = [data.(acquisitionMode{1, i}).Velocity_U2; ... + structures.Data.([acquisitionMode{2, i} 'VelUp2'])]; + + elseif isfield(structures.Data, [acquisitionMode{1, i} 'VelBeam1']) + data.(acquisitionMode{1, i}).Velocity_1 = [data.(acquisitionMode{1, i}).Velocity_1; ... + structures.Data.([acquisitionMode{2, i} 'VelBeam1'])]; + data.(acquisitionMode{1, i}).Velocity_2 = [data.(acquisitionMode{1, i}).Velocity_2; ... + structures.Data.([acquisitionMode{2, i} 'VelBeam2'])]; + data.(acquisitionMode{1, i}).Velocity_3 = [data.(acquisitionMode{1, i}).Velocity_3; ... + structures.Data.([acquisitionMode{2, i} 'VelBeam3'])]; + data.(acquisitionMode{1, i}).Velocity_4 = [data.(acquisitionMode{1, i}).Velocity_4; ... + structures.Data.([acquisitionMode{2, i} 'VelBeam4'])]; + end - if isfield(structures.Data, [acquisitionMode{2, i} 'Correlation_Beam']) - data.(acquisitionMode{1, i}).Correlation1 = [data.(acquisitionMode{1, i}).Correlation1; ... - squeeze(structures.Data.([acquisitionMode{2, i} 'Correlation_Beam'])(:, 1, :))]; - data.(acquisitionMode{1, i}).Correlation2 = [data.(acquisitionMode{1, i}).Correlation2; ... - squeeze(structures.Data.([acquisitionMode{2, i} 'Correlation_Beam'])(:, 2, :))]; - data.(acquisitionMode{1, i}).Correlation3 = [data.(acquisitionMode{1, i}).Correlation3; ... - squeeze(structures.Data.([acquisitionMode{2, i} 'Correlation_Beam'])(:, 3, :))]; - data.(acquisitionMode{1, i}).Correlation4 = [data.(acquisitionMode{1, i}).Correlation4; ... - squeeze(structures.Data.([acquisitionMode{2, i} 'Correlation_Beam'])(:, 4, :))]; - elseif isfield(structures.Data, [acquisitionMode{2, i} 'CorBeam1']) - data.(acquisitionMode{1, i}).Correlation1 = [data.(acquisitionMode{1, i}).Correlation1; ... - structures.Data.([acquisitionMode{2, i} 'CorBeam1'])]; - data.(acquisitionMode{1, i}).Correlation2 = [data.(acquisitionMode{1, i}).Correlation2; ... - structures.Data.([acquisitionMode{2, i} 'CorBeam2'])]; - data.(acquisitionMode{1, i}).Correlation3 = [data.(acquisitionMode{1, i}).Correlation3; ... - structures.Data.([acquisitionMode{2, i} 'CorBeam3'])]; - data.(acquisitionMode{1, i}).Correlation4 = [data.(acquisitionMode{1, i}).Correlation4; ... - structures.Data.([acquisitionMode{2, i} 'CorBeam4'])]; + if data.(acquisitionMode{1, i}).isVelocityData + if isfield(structures.Data, [acquisitionMode{2, i} 'Amplitude_Beam']) + data.(acquisitionMode{1, i}).Backscatter1 = [data.(acquisitionMode{1, i}).Backscatter1; ... + squeeze(structures.Data.([acquisitionMode{2, i} 'Amplitude_Beam'])(:, 1, :))*2]; % looks like the .mat format is giving dB by default with dB = raw counts * 0.5 + data.(acquisitionMode{1, i}).Backscatter2 = [data.(acquisitionMode{1, i}).Backscatter2; ... + squeeze(structures.Data.([acquisitionMode{2, i} 'Amplitude_Beam'])(:, 2, :))*2]; + data.(acquisitionMode{1, i}).Backscatter3 = [data.(acquisitionMode{1, i}).Backscatter3; ... + squeeze(structures.Data.([acquisitionMode{2, i} 'Amplitude_Beam'])(:, 3, :))*2]; + data.(acquisitionMode{1, i}).Backscatter4 = [data.(acquisitionMode{1, i}).Backscatter4; ... + squeeze(structures.Data.([acquisitionMode{2, i} 'Amplitude_Beam'])(:, 4, :))*2]; + elseif isfield(structures.Data, [acquisitionMode{2, i} 'AmpBeam1']) + data.(acquisitionMode{1, i}).Backscatter1 = [data.(acquisitionMode{1, i}).Backscatter1; ... + structures.Data.([acquisitionMode{2, i} 'AmpBeam1'])*2]; + data.(acquisitionMode{1, i}).Backscatter2 = [data.(acquisitionMode{1, i}).Backscatter2; ... + structures.Data.([acquisitionMode{2, i} 'AmpBeam2'])*2]; + data.(acquisitionMode{1, i}).Backscatter3 = [data.(acquisitionMode{1, i}).Backscatter3; ... + structures.Data.([acquisitionMode{2, i} 'AmpBeam3'])*2]; + data.(acquisitionMode{1, i}).Backscatter4 = [data.(acquisitionMode{1, i}).Backscatter4; ... + structures.Data.([acquisitionMode{2, i} 'AmpBeam4'])*2]; + end + if isfield(structures.Data, [acquisitionMode{2, i} 'Correlation_Beam']) + data.(acquisitionMode{1, i}).Correlation1 = [data.(acquisitionMode{1, i}).Correlation1; ... + squeeze(structures.Data.([acquisitionMode{2, i} 'Correlation_Beam'])(:, 1, :))]; + data.(acquisitionMode{1, i}).Correlation2 = [data.(acquisitionMode{1, i}).Correlation2; ... + squeeze(structures.Data.([acquisitionMode{2, i} 'Correlation_Beam'])(:, 2, :))]; + data.(acquisitionMode{1, i}).Correlation3 = [data.(acquisitionMode{1, i}).Correlation3; ... + squeeze(structures.Data.([acquisitionMode{2, i} 'Correlation_Beam'])(:, 3, :))]; + data.(acquisitionMode{1, i}).Correlation4 = [data.(acquisitionMode{1, i}).Correlation4; ... + squeeze(structures.Data.([acquisitionMode{2, i} 'Correlation_Beam'])(:, 4, :))]; + elseif isfield(structures.Data, [acquisitionMode{2, i} 'CorBeam1']) + data.(acquisitionMode{1, i}).Correlation1 = [data.(acquisitionMode{1, i}).Correlation1; ... + structures.Data.([acquisitionMode{2, i} 'CorBeam1'])]; + data.(acquisitionMode{1, i}).Correlation2 = [data.(acquisitionMode{1, i}).Correlation2; ... + structures.Data.([acquisitionMode{2, i} 'CorBeam2'])]; + data.(acquisitionMode{1, i}).Correlation3 = [data.(acquisitionMode{1, i}).Correlation3; ... + structures.Data.([acquisitionMode{2, i} 'CorBeam3'])]; + data.(acquisitionMode{1, i}).Correlation4 = [data.(acquisitionMode{1, i}).Correlation4; ... + structures.Data.([acquisitionMode{2, i} 'CorBeam4'])]; + end end - end - - if isfield(structures.Data, [acquisitionMode{2, i} 'AltimeterDistanceLE']) - data.(acquisitionMode{1, i}).AltimeterDistanceLE = [data.(acquisitionMode{1, i}).AltimeterDistanceLE; ... - structures.Data.([acquisitionMode{2, i} 'AltimeterDistanceLE'])]; - data.(acquisitionMode{1, i}).AltimeterQualityLE = [data.(acquisitionMode{1, i}).AltimeterQualityLE; ... - structures.Data.([acquisitionMode{2, i} 'AltimeterQualityLE'])]; -% data.(acquisitionMode{i}).AltimeterStatus = [data.(acquisitionMode{1, i}).AltimeterStatus; ... -% structures.Data.([acquisitionMode{2, i} 'AltimeterStatus'])]; % flags for when pitch or roll is > 5 or > 10. We already have pitch and roll data... - end - - if isfield(structures.Data, [acquisitionMode{2, i} 'AltimeterDistanceAST']) - data.(acquisitionMode{1, i}).AltimeterDistanceAST = [data.(acquisitionMode{1, i}).AltimeterDistanceAST; ... - structures.Data.([acquisitionMode{2, i} 'AltimeterDistanceAST'])]; - data.(acquisitionMode{1, i}).AltimeterQualityAST = [data.(acquisitionMode{1, i}).AltimeterQualityAST; ... - structures.Data.([acquisitionMode{2, i} 'AltimeterQualityAST'])]; - data.(acquisitionMode{1, i}).AltimeterTimeOffsetAST = [data.(acquisitionMode{1, i}).AltimeterTimeOffsetAST; ... - structures.Data.([acquisitionMode{2, i} 'AltimeterTimeOffsetAST'])]; - data.(acquisitionMode{1, i}).AltimeterPressure = [data.(acquisitionMode{1, i}).AltimeterPressure; ... - structures.Data.([acquisitionMode{2, i} 'AltimeterPressure'])]; - end - - data.(acquisitionMode{1, i}).Battery = [data.(acquisitionMode{1, i}).Battery; ... - structures.Data.([acquisitionMode{2, i} 'Battery'])]; - data.(acquisitionMode{1, i}).Heading = [data.(acquisitionMode{1, i}).Heading; ... - structures.Data.([acquisitionMode{2, i} 'Heading'])]; - data.(acquisitionMode{1, i}).Pitch = [data.(acquisitionMode{1, i}).Pitch; ... - structures.Data.([acquisitionMode{2, i} 'Pitch'])]; - data.(acquisitionMode{1, i}).Roll = [data.(acquisitionMode{1, i}).Roll; ... - structures.Data.([acquisitionMode{2, i} 'Roll'])]; - data.(acquisitionMode{1, i}).Temperature = [data.(acquisitionMode{1, i}).Temperature; ... - structures.Data.([acquisitionMode{2, i} 'Temperature'])]; - data.(acquisitionMode{1, i}).speedOfSound = [data.(acquisitionMode{1, i}).speedOfSound; ... - structures.Data.([acquisitionMode{2, i} 'Soundspeed'])]; - data.(acquisitionMode{1, i}).Pressure = [data.(acquisitionMode{1, i}).Pressure; ... - structures.Data.([acquisitionMode{2, i} 'Pressure'])]; - - % we now need to sort the data chronologically - [~, iSort] = sort(data.(acquisitionMode{1, i}).Time); - nSample = length(data.(acquisitionMode{1, i}).Time); - dataFields = fieldnames(data.(acquisitionMode{1, i})); - for j=1:length(dataFields) - if size(data.(acquisitionMode{1, i}).(dataFields{j}), 1) == nSample - data.(acquisitionMode{1, i}).(dataFields{j}) = data.(acquisitionMode{1, i}).(dataFields{j})(iSort, :); + + if isfield(structures.Data, [acquisitionMode{2, i} 'AltimeterDistanceLE']) + data.(acquisitionMode{1, i}).AltimeterDistanceLE = [data.(acquisitionMode{1, i}).AltimeterDistanceLE; ... + structures.Data.([acquisitionMode{2, i} 'AltimeterDistanceLE'])]; + data.(acquisitionMode{1, i}).AltimeterQualityLE = [data.(acquisitionMode{1, i}).AltimeterQualityLE; ... + structures.Data.([acquisitionMode{2, i} 'AltimeterQualityLE'])]; + % data.(acquisitionMode{i}).AltimeterStatus = [data.(acquisitionMode{1, i}).AltimeterStatus; ... + % structures.Data.([acquisitionMode{2, i} 'AltimeterStatus'])]; % flags for when pitch or roll is > 5 or > 10. We already have pitch and roll data... + end + + if isfield(structures.Data, [acquisitionMode{2, i} 'AltimeterDistanceAST']) + data.(acquisitionMode{1, i}).AltimeterDistanceAST = [data.(acquisitionMode{1, i}).AltimeterDistanceAST; ... + structures.Data.([acquisitionMode{2, i} 'AltimeterDistanceAST'])]; + data.(acquisitionMode{1, i}).AltimeterQualityAST = [data.(acquisitionMode{1, i}).AltimeterQualityAST; ... + structures.Data.([acquisitionMode{2, i} 'AltimeterQualityAST'])]; + data.(acquisitionMode{1, i}).AltimeterTimeOffsetAST = [data.(acquisitionMode{1, i}).AltimeterTimeOffsetAST; ... + structures.Data.([acquisitionMode{2, i} 'AltimeterTimeOffsetAST'])]; + data.(acquisitionMode{1, i}).AltimeterPressure = [data.(acquisitionMode{1, i}).AltimeterPressure; ... + structures.Data.([acquisitionMode{2, i} 'AltimeterPressure'])]; + end + + data.(acquisitionMode{1, i}).Battery = [data.(acquisitionMode{1, i}).Battery; ... + structures.Data.([acquisitionMode{2, i} 'Battery'])]; + data.(acquisitionMode{1, i}).Heading = [data.(acquisitionMode{1, i}).Heading; ... + structures.Data.([acquisitionMode{2, i} 'Heading'])]; + data.(acquisitionMode{1, i}).Pitch = [data.(acquisitionMode{1, i}).Pitch; ... + structures.Data.([acquisitionMode{2, i} 'Pitch'])]; + data.(acquisitionMode{1, i}).Roll = [data.(acquisitionMode{1, i}).Roll; ... + structures.Data.([acquisitionMode{2, i} 'Roll'])]; + data.(acquisitionMode{1, i}).Temperature = [data.(acquisitionMode{1, i}).Temperature; ... + structures.Data.([acquisitionMode{2, i} 'Temperature'])]; + data.(acquisitionMode{1, i}).speedOfSound = [data.(acquisitionMode{1, i}).speedOfSound; ... + structures.Data.([acquisitionMode{2, i} 'Soundspeed'])]; + data.(acquisitionMode{1, i}).Pressure = [data.(acquisitionMode{1, i}).Pressure; ... + structures.Data.([acquisitionMode{2, i} 'Pressure'])]; + + % we now need to sort the data chronologically + [~, iSort] = sort(data.(acquisitionMode{1, i}).Time); + nSample = length(data.(acquisitionMode{1, i}).Time); + dataFields = fieldnames(data.(acquisitionMode{1, i})); + for j=1:length(dataFields) + if size(data.(acquisitionMode{1, i}).(dataFields{j}), 1) == nSample + data.(acquisitionMode{1, i}).(dataFields{j}) = data.(acquisitionMode{1, i}).(dataFields{j})(iSort, :); + end end end - end end clear structures; From ac369f52e56f7afc683d910b7e04e3f31b5f9783 Mon Sep 17 00:00:00 2001 From: Guillaume Galibert Date: Mon, 21 Jan 2019 16:19:52 +1100 Subject: [PATCH 3/3] Increment toolbox version to 2.5.42 and update binaries accordingly. --- imosToolbox.m | 2 +- imosToolbox_Linux64.bin | Bin 3384972 -> 3385157 bytes imosToolbox_Win32.exe | Bin 3538349 -> 3538508 bytes imosToolbox_Win64.exe | Bin 3588912 -> 3589054 bytes 4 files changed, 1 insertion(+), 1 deletion(-) diff --git a/imosToolbox.m b/imosToolbox.m index ebdbd520c..5143048a8 100644 --- a/imosToolbox.m +++ b/imosToolbox.m @@ -37,7 +37,7 @@ function imosToolbox(auto, varargin) % % Set current toolbox 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