MnM Modules - Revision history

Norbert at 21:27, 3 May 2009

2009-05-03T21:27:22Z

Norbert at 21:24, 3 May 2009

2009-05-03T21:24:59Z

Norbert at 21:23, 3 May 2009

2009-05-03T21:23:24Z

Norbert at 21:21, 3 May 2009

2009-05-03T21:21:37Z

Norbert at 21:20, 3 May 2009

2009-05-03T21:20:49Z

Norbert at 21:17, 3 May 2009

2009-05-03T21:17:57Z

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Norbert at 17:46, 3 May 2009

2009-05-03T17:46:35Z

Norbert at 17:44, 3 May 2009

2009-05-03T17:44:30Z

Norbert at 16:10, 3 May 2009

2009-05-03T16:10:18Z

Norbert at 16:09, 3 May 2009

2009-05-03T16:09:29Z

@@ Line 34: / Line 34: @@
    | descr=Calculates biquad coefficients for various filter types.
    | arguments=none
-   | attributes=mode <&#039;lp&#039;&#124;&#039;lowpass&#039;&#124;&#039;hp&#039;&#124;&#039;highpass&#039;&#124;&#039;bpcskirt&#039;&#124;&#039;resonant&#039;&#124;&#039;bpcpeak&#039;&#124;&#039;bandpass&#039;&#124;&#039;peaking&#039;&#124;&#039;peaknotch&#\ 039;&#124;&#039;notch&#039;&#124;&#039;bs&#039;&#124;&#039;bandstop&#039;&#124;&#039;ap&#039;&#124;&#039;allpass&#039;&#124;&#039;ls&#039;&#124;&#039;lowshelf&#039;&#124;&#039;hs&#039;&#124;&#039;highshelf&#039;: type> - filter type [lowpass]<br>f0 <num: freq> - cutoff or centre frequency (default is half Nyquist frequency)<br>unit <&#039;nyquist&#039;&#124;&#039;hz&#039;&#124;&#039;hertz&#039;: unit> - set unit for freq as ratio to Nyquist frequency or in hz [nyquist]<br>sr <num: sr> - sample rate for freq in Hertz [44100]<br>q <num: q> - quality/resonance [1]<br>qnorm <num: qnorm> - if qnorm = 1, divide q by 1./sqrt(2.) so as to get a monotonic filter response with q = 1. (instead of 1./sqrt(2.), which is the default with qnorm = 0)<br>gain <num: gain> - linear gain [1]<br>out <matrix: coeffs> - output biquad coefficients<br>
+   | attributes=mode <&#039;lp&#039;&#124;&#039;lowpass&#039;&#124;&#039;hp&#039;&#124;&#039;highpass&#039;&#124;&#039;bpcskirt&#039;&#124;&#039;resonant&#039;&#124;&#039;bpcpeak&#039;&#124;&#039;bandpass&#039;&#124;&#039;peaking&#039;&#124;&#039;peaknotch&#039;&#124;&#039;notch&#039;&#124;&#039;bs&#039;&#124;&#039;bandstop&#039;&#124;&#039;ap&#039;&#124;&#039;allpass&#039;&#124;&#039;ls&#039;&#124;&#039;lowshelf&#039;&#124;&#039;hs&#039;&#124;&#039;highshelf&#039;: type> - filter type [lowpass]<br>f0 <num: freq> - cutoff or centre frequency (default is half Nyquist frequency)<br>unit <&#039;nyquist&#039;&#124;&#039;hz&#039;&#124;&#039;hertz&#039;: unit> - set unit for freq as ratio to Nyquist frequency or in hz [nyquist]<br>sr <num: sr> - sample rate for freq in Hertz [44100]<br>q <num: q> - quality/resonance [1]<br>qnorm <num: qnorm> - if qnorm = 1, divide q by 1./sqrt(2.) so as to get a monotonic filter response with q = 1. (instead of 1./sqrt(2.), which is the default with qnorm = 0)<br>gain <num: gain> - linear gain [1]<br>out <matrix: coeffs> - output biquad coefficients<br>
    | messages=postdoc - post external doc to console<br>bang - output coefficients<br>out <matrix: coeffs> - output biquad coefficients<br>
    | inlets=none

@@ Line 253: / Line 253: @@
    | brief=Stats
    | descr=Stats has to be documented.
-   | arguments=<vector: histogram> [<num: low> [<num: high>] ] - set histogram vector and boundaries<br>
+   | arguments=<vector: histogram> [<num: low> <num: high>] - set histogram vector and boundaries<br>
    | attributes=norm <bool: normalize> - switch normalization [off]<br>
-   | messages=postdoc - post external doc to console<br>bang - output stats<br>clear - clear histogram<br>set <vector: histogram> [<num: low> [<num: high>] ] - set histogram vector and boundaries<br>
+   | messages=postdoc - post external doc to console<br>bang - output stats<br>clear - clear histogram<br>set <vector: histogram> [<num: low> <num: high>] - set histogram vector and boundaries<br>
    | inlets=1 <num: value> - data input<br>
    | outlets=1 <num: average> - output average<br>2 <num: stddev> - output standard deviation<br>3 <num: count> - output count<br>

@@ Line 253: / Line 253: @@
    | brief=Stats
    | descr=Stats has to be documented.
-   | arguments=<vector: histogram> [<num: low> [<num: high>]] - set histogram vector and boundaries<br>
+   | arguments=<vector: histogram> [<num: low> [<num: high>] ] - set histogram vector and boundaries<br>
    | attributes=norm <bool: normalize> - switch normalization [off]<br>
-   | messages=postdoc - post external doc to console<br>bang - output stats<br>clear - clear histogram<br>set <vector: histogram> [<num: low> [<num: high>]] - set histogram vector and boundaries<br>
+   | messages=postdoc - post external doc to console<br>bang - output stats<br>clear - clear histogram<br>set <vector: histogram> [<num: low> [<num: high>] ] - set histogram vector and boundaries<br>
    | inlets=1 <num: value> - data input<br>
    | outlets=1 <num: average> - output average<br>2 <num: stddev> - output standard deviation<br>3 <num: count> - output count<br>

@@ Line 201: / Line 201: @@
    | attributes=outh <matrix: H> - H output matrix<br>criteria <num: criteria> - criteria<br>sH <num: sH> - sH<br>itermax <num: itermax> - maximum number of iterations<br>
    | messages=postdoc - post external doc to console<br>
-   | inlets=1 <matrix: input> - input matrix<br>2 <matrix: input> - input matrix<br>3 - <num: L2> - L2<br>
+   | inlets=1 <matrix: input> - input matrix<br>2 <matrix: input> - input matrix<br>3 <num: L2> - L2<br>
    | outlets=1 <matrix: output> - output matrix<br>
 }}

@@ Line 201: / Line 201: @@
    | attributes=outh <matrix: H> - H output matrix<br>criteria <num: criteria> - criteria<br>sH <num: sH> - sH<br>itermax <num: itermax> - maximum number of iterations<br>
    | messages=postdoc - post external doc to console<br>
-   | inlets=1 <matrix: input> - input matrix<br>2 <matrix: input> - input matrix<br>3 - <br>
+   | inlets=1 <matrix: input> - input matrix<br>2 <matrix: input> - input matrix<br>3 - <num: L2> - L2<br>
    | outlets=1 <matrix: output> - output matrix<br>
 }}

@@ Line 1: / Line 1: @@
-* mnm.biqoefs - Biquad coefficients
+* mnm.biqoefs ... Biquad coefficients
-* mnm.biquad - Biquad filtering
+* mnm.biquad ... Biquad filtering
-* mnm.delta - Inter-frame regression
+* mnm.delta ... Inter-frame regression
-* mnm.diag - Matrix diagonal
+* mnm.diag ... Matrix diagonal
-* mnm.dtw - Dynamic Time Warping
+* mnm.dtw ... Dynamic Time Warping
-* mnm.gmmem - Expectation Maximization for Gaussian Mixture Models
+* mnm.gmmem ... Expectation Maximization for Gaussian Mixture Models
-* mnm.hist - Histogram
+* mnm.hist ... Histogram
-* mnm.knn - K-Nearest Neighbour search
+* mnm.knn ... K-Nearest Neighbour search
-* mnm.lu - Lower-Upper decomposition
+* mnm.lu ... Lower-Upper decomposition
-* mnm.mahalanobis - Mahalanobis distance
+* mnm.mahalanobis ... Mahalanobis distance
-* mnm.mean - Mean filtering
+* mnm.mean ... Mean filtering
-* mnm.meanstd - Mean and standard deviation
+* mnm.meanstd ... Mean and standard deviation
-* mnm.median - Median filtering
+* mnm.median ... Median filtering
-* mnm.minmax - Minimum and maximum
+* mnm.minmax ... Minimum and maximum
-* mnm.moments - Statistical moments
+* mnm.moments ... Statistical moments
-* mnm.nmd - Non-zero Matrix Decomposition
+* mnm.nmd ... Non-zero Matrix Decomposition
-* mnm.nmf - Non-zero Matrix Factorization
+* mnm.nmf ... Non-zero Matrix Factorization
-* mnm.obsprob - Obsprob
+* mnm.obsprob ... Obsprob
-* mnm.onepole - Onepole filtering
+* mnm.onepole ... Onepole filtering
-* mnm.qr - Orthogonal-Right decomposition
+* mnm.qr ... Orthogonal-Right decomposition
-* mnm.stats - Stats
+* mnm.stats ... Stats
-* mnm.submat - Sub-matrix
+* mnm.submat ... Sub-matrix
-* mnm.sum - Matrix sum
+* mnm.sum ... Matrix sum
-* mnm.svd - Singular Value Decomposition
+* mnm.svd ... Singular Value Decomposition
-* mnm.transpose - Matrix transposition
+* mnm.transpose ... Matrix transposition
-* mnm.viterbi - Viterbi algorithm
+* mnm.viterbi ... Viterbi algorithm
-* mnm.xdist2 - Square of Euclidean distance
+* mnm.xdist2 ... Square of Euclidean distance
-* mnm.xmul - Matrix multiplication
+* mnm.xmul ... Matrix multiplication

@@ Line 307: / Line 307: @@
    | name=mnm.viterbi
    | brief=Viterbi algorithm
-   | descr=Calculates Viterbi path of incoming matrices or vector.
+   | descr=Calculates Viterbi path of incoming matrices or vectors.
    | arguments=none
    | attributes=line - on&#124;off line<br>verbose - verbose or not (0&#124;1)<br>latency - maximum latency (nb of frames)<br>get - debug : get intern values.<br>

@@ Line 295: / Line 295: @@
 {{Module |
    | name=mnm.transpose
-   | brief=Transpose
+   | brief=Matrix transposition
    | descr=Calculates transposed matrix.
    | arguments=none