A Numerical Tour of Signal Processing: extend_stack_size(mult) - File Exchange

[p,ellipse]=phantom(varargin) PHANTOM Generate a head phantom image.

b=dct(a,n) DCT Discrete cosine transform.

b=dct2(arg1,mrows,ncols) DCT2 Compute 2-D discrete cosine transform.

cat3(d, a,b) cat3 - synonymous with cat

cconv(x,h,d) cconv - spatial domain circular convolution

cell_add(A,B,a,b) cell_add - add two cell arrays

cell_get(x,i) cell_get - get value

cell_set(x,i,v) cell_set - assign value

cell_sub(x,sel) cell_sub - extract a sub-cell array

clamp(x,a,b)

compute_conditional_histogram... compute_conditional_histogram - compute conditional histograms

compute_entropy(M,T) compute_entropy - compute the entropy of a signal

compute_gaussian_filter(n,s,N... compute_gaussian_filter - compute a 1D or 2D Gaussian filter.

compute_histogram(M, options) compute_histogram - compute the (symmetric) histogram of a vector after threshold.

compute_hufftree(p) compute_hufftree - build a huffman tree

compute_l2err(MF, donormalize... compute_l2err - non linear approximation error

compute_max(X,d) compute_max - compute maximum along dimension d

compute_min(X,d) compute_min - compute min along dimension d

compute_quadsel(j,q, options) compute_quadsel - compute the indices for selecting subband of a wavelet transform.

compute_shape_boundary(M) compute_shape_boundary - extract boundary points of a shape

compute_total_variation(y, op... compute_total_variation - compute the total variation of an image

compute_wavelet_filter(Type,P... compute_wavelet_filter - Generate Orthonormal QMF Filter for Wavelet Transform

crop(M,n,c) crop - crop an image to reduce its size

det3(A) det3 - 3x3 determinant

div(Px,Py, options) div - divergence operator

extend_stack_size(mult) does nothing

gamrnd(a,b,m,n); GAMRND Random matrices from gamma distribution.

getoptions(options, name, v, ... getoptions - retrieve options parameter

grad(M, options) grad - gradient, forward differences

huffman_gencode(T) huffman_gencode - generate a code associated to a Hufmann tree T

idct(b,n) IDCT Inverse discrete cosine transform.

idct2(arg1,mrows,ncols) IDCT2 Compute 2-D inverse discrete cosine transform.

image_resize(M,p1,q1,r1) image_resize - resize an image using bicubic interpolation

imageplot(M,str, a,b,c) imageplot - diplay an image and a title

iradon(varargin) IRADON Compute inverse Radon transform.

load_image(type, n, options) load_image - load benchmark images.

load_signal(name, n, options) load_signal - load a 1D signal

load_sound(name, n0, options)

mad(x,flag) MAD Mean/median absolute deviation.

make_sparse(i,j,x) make_sparse - synonymous with sparse(i,j,x)

max3(x,v) max3 - synonymouse with max

nb_dims(x) nb_dims - debugged version of ndims.

peform_wiener_filtering(x0,x,... peform_wiener_filtering - perform Wiener filtering

perform_arith_coding(xC, dir) perform_arithmetic_coding_slow - perform adaptive arithmetic coding

perform_arith_fixed(x, h, n) perform_arith_fixed - arithmetic coding

perform_blurring(M, sigma, op... perform_blurring - gaussian blurs an image

perform_cg(A,y,options)

perform_convolution(x,h, boun... perform_convolution - compute convolution with centered filter.

perform_faces_reorientation(v... perform_faces_reorientation - reorient the faces with respect to the center of the mesh

perform_haar_transf(f, Jmin, ... perform_haar_transf - peform fast Haar transform

perform_hist_eq(x,y,options) perform_histogram_equalization - perform histogram equalization

perform_homotopy(D,y,options) perform_homotopy - compute the L1 regularization path

perform_huffcoding(x,T,dir) perform_huffcoding - perform huffman coding

perform_median_filtering(M,k) perform_median_filtering - perform moving average median

perform_omp(D,Y,options) perform_omp - perform orthogonal matching pursuit

perform_saturation(x,tau,use_... perform_saturation - saturate a vector for better contrast

perform_stft(x, w,q, options) perform_stft - compute a local Fourier transform

perform_tensor_decomp(T,order... perform_tensor_decomp - perform an eigendecomposition.

perform_tensor_recomp(e1,e2,l... perform_tensor_recomp - create the tensor field corresponding to the given eigendecomposition.

perform_thresholding(x, t, ty... perform_thresholding - perform hard or soft thresholding

perform_tv_denoising(x,option... perform_tv_denoising - denoising with TV minimization

perform_wavelet_transf(x, Jmi... perform_wavelet_transf - peform fast lifting transform

perform_wavortho_transf(f,Jmi... perform_wavortho_transf - compute orthogonal wavelet transform

plot_dictionnary(D,X,nb, opti... plot_dictionnary - display a dictionary of images

plot_hufftree(T,p) plot_hufftree - plot a huffman tree

plot_levelset(M,t,A) plot_levelset - display the level set of an image

plot_sparse_diracs(x, options) plot_sparse_diracs - plot sparse sets of diracs

plot_spectrogram(S,f, options) plot_spectrogram - display the spectrogram

plot_vf(vf, M, options) plot_vf - plot a vector field with

plot_wavelet(M, Jmin, options... plot_wavelet - plot 2D wavelet transform stored using Mallat's ordering.

poissrnd(lambda,m,n) POISSRND Random matrices from Poisson distribution.

progressbar(n,N,w) progressbar - display a progress bar

psnr(x,y, vmax) psnr - compute the Peack Signal to Noise Ratio

r=binornd(n,p,mm,nn) BINORND Random matrices from a binomial distribution.

radon(IMG, THETA) This MATLAB function takes an image matrix and vector of angles and then

rand_discr(p, m) rand_discr - discrete random generator

read_bin(name,options) read_bin - read bin file

rescale(x,a,b)

reverse(x) flip a vector

set_axis(v) set_axis - draw axis on/off

set_colormap(a) set_colormap - set colors for display

set_graphic_sizes(h,fs,lw) set_graphic_sizes - enlarge the size of the fonts

set_label(xstr,ystr,zstr) set_label - set the label for a plot

set_linewidth(h,lw)

set_rand_seeds(a,b) set_rand_seeds - initialize rand and randn

snr(x,y) snr - signal to noise ratio

subsampling(x,d,p) downsampling - subsampling along dimension d

subselectdim(f,sel,d) subselectdim - select along a dimension

sum3(M,k) for Scilab compatibility

tet2tri(facet, vertex, keep_s... tet2tri - convert a tet mesh to a tri mesh

upsampling(x,d,p) upsampling - add p zeros between samples along dimension d

using_matlab() using_matlab - return 1 for Matlab, 0 for Scilab

write_bin(M, name) write_bin - write a file to .bin format readable by scilab.

batch_convert_bin.m

1D Higher Order Wavelets

2D Daubechies Wavelets

Advanced Wavelet Thresholdings

Color Image Processing

Compressed Sampling

Data Dependent Noise Models

Denoising by Sobolev and Tota...

Dictionary Learning

Entropic Coding and Compressi...

Image Approximation with Orth...

Image Compression with Wavele...

Image Denoising with Linear M...

Image Denoising with Wavelets

Inpainting using Sparse Regul...

Multi-spectral Imaging

Natural Images Statistics

Non Local Means

Outliers and Median Denoiser

Reconstruction from Compressi...

Reconstruction from Partial T...

Signal Denoising with Wavelets

Signal and Image Noise Models

Sparse Deconvolution

Sparse Spikes Deconvolution w...

Variational Inpainting

Video Coding

Volumetric wavelet Data Proce...

Wavelet Block Thresholding

missing-exo.html

Highlights from A Numerical Tour of Signal Processing

Highlights from
A Numerical Tour of Signal Processing