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% Text describing the m-files in directory D:\Karl\Matlab\FrameTools% File generated by mkcontnt.m 22-Sep-2003 15:10:21% % BulidFg Build the Fg matrix from F vector and G matrix % BulidG Build the G matrix and F vector from Fg matrix% C_ana The analysis part of an IIR filter bank based on allpass filters% C_anablock Analysis block in a FIR two channel filterbank % C_anafb Tree structured analysis filter bank using IIR filter. % C_syn The synthesis part of an IIR filter bank based on allpass filters% C_synblock Synthesis block in a FIR two channel filterbank % C_synfb Tree structured synthesis filter bank using IIR filter. % DataFile Explain the contents of a mat-file that stores a set of training data. % Decom1D Decompose a 1D-signal into expansion coefficients, % Decom2D Decompose a 2D-signal (image) into expansion coefficients, % DesignF Design the frame and store it in FrameFile, based on training data% DesignFb This is a stripped version of DesignF, only for block-oriented frame% FrameDesignEx Here we design an example frame for an AR(1) signal. % FrameFile Explain the contents of a mat-file that stores a frame. % FrameInfo Display information about the frame stored in a mat-file, % FrameProperties Find, display and return some properties of a frame F% FramePropertiesObjFun Objective function for finding the x that is % GenIntPol General Interpolation of Images/Patterns, generate textures % GenLloyd Design a codebook (frame) by the Generalized Lloyd Algorithm % GetELT Extendend Lapped (orthogonal) Transform, ELT, of size 4NxN% GetHaar Find the NxN Haar matrix% GetLOT Lapped Orthogonal Transform of size 2NxN% GetWave Get a synthesis transform matrix based on a dyadic wavelet filter bank% ImDC Split an image into DC component and residual, or opposite. % MapCD Makes the tables that map from WWT (or W*W') to C % MCsimF Monte Carlo simulation for the frame F, selecting S vectors% NormalizeF Normalize the synthesis vectors in frame F% PDFpoly Estimate the pdf (probability density function) by polynomials% PlotF Plot the column vectors of the one-dimensional frame F% PlotF2D Plot the image blocks in frame F, F is size NxK% PlotFt Plot the image blocks in frame F, F is size NxK% PlotSNR Plot development in SNR after each iteration during training% PolyInterPol Polynomial interpolation of a function given as points. % Reorder Reorder distinct image blocks into columns, or vice versa % SetF03 Set F using initial values from DCT/Haar/LOT/ELT/eye/randn% SetF05 Set F as a general filter bank, using initial values from FIR filters% SetF06 Set F as a general filter bank, using initial values from a wavelet% SetF07 Set F as a general filter bank with N=8, K=16, P=6 and Q=208% SetFfromImage Set F as a frame of randomly selected blocks from image B.% SignalExpansion Here we test many different methods for signal expansion. % TestGenLloyd Test of the function GenLloyd % TestPDFpoly Test of the function PDFpoly and PolyInterPol % TestVS test of Vector Selection algorithms% TestVSblockC Test of VSblockC, vector selection done by program% Ttimes Do the operation Y=T*X, where T represent a filterbank or a transform. % VSab2 Vector Selection algorithm that Always returns a Better (or the same) w% VSblock Vector Selection for block-oriented frame, % VSblockC Vector Selection for block-oriented frame, (special version)% VSfomp2 Fast Orthogonal Matching Pursuit 2, Vector Selection algorithm % VSfs Vector Selection algorithm doing Full Search% VSmp2 Matching Pursuit variant 2, Vector Selection algorithm % VSolap1 Vector Selection for overlapping frame and 1D signal% VSolap2 Vector Selection for overlapping frame and 2D signal% VSomp Orthogonal Matching Pursuit with QR decomposition, Vector Selection algorithm % VSompJHH Orthogonal Matching Pursuit, Vector Selection algorithm% VSormp Order Recursive Matching Pursuit with QR decomposition, Vector Selection algorithm % VSormp2 Order Recursive Matching Pursuit with QR decomposition, Vector Selection algorithm % VSps Vector Selection algorithm doing Partial Search% VSps2 Partial Search 2, Vector Selection algorithm
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