Code covered by the BSD License  

Highlights from
Toolbox signal

• adjust_psnr(W,ptgt,vmax) adjust_psnr - adjust noise level to fit psnr
• array_set_val( x, ind, v ) array_set_val - set a value in a multidimensional array using a vector for the index
• clamp(x,a,b)
• compute_conditional_histogram... compute_conditional_histogram - compute conditional histograms
• compute_conv_matrix(x) compute_conv_matrix - compute a circular convolution matrix.
• compute_cubic_spline(x,n) compute_cubic_spline - evaluate the nth derivative of the cubic spline.
• compute_dct_matrix(w, ndims) compute_dct_matrix - compute the DCT matrix for a discrete cosine transform.
• compute_diffusion_distance(x,... compute_diffusion_distance - compute the diffusion distance
• compute_distance_matrix(X,x) compute_distance_matrix - compute pairwise distance matrix.
• compute_distance_to_points(X,... compute_distance_to_points - compute euclidean distance to a set of points.
• compute_entropy(M,T) compute_entropy - compute the entropy of a signal
• compute_error_threshold(y,T); compute_error_threshold - compute the error for an approximation in an orthogonal basis.
• compute_gaussian_filter(n,s,N... compute_gaussian_filter - compute a 1D or 2D Gaussian filter.
• compute_grad(M,options) compute_grad - compute the gradient of an image using central differences
• compute_histogram(M, options) compute_histogram - compute the (symmetric) histogram of a vector after threshold.
• compute_histogram_distance(H,... compute_histogram_distance - compute distance between histograms
• compute_histogram_rbf(f, sigm... compute_histogram_rbf - parzen windows density estimation
• compute_hufftree(p) compute_hufftree - build a huffman tree
• compute_impulse_noise(M,p,sig... compute_impulse_noise - add impulse noise to an image
• compute_kurtosis(x, center_me... compute_kurtosis - compute the Kurtosis.
• compute_laplacian_distributio... compute_laplacian_distribution - compute a laplacian distribution
• compute_laplacian_matrix(n,op... compute_laplacian_matrix - compute the laplacian matrix
• compute_mutual_information(h) compute_mutual_information - compute mutual information of two random variables
• compute_pairwise_histogram(f,...
• compute_rbf(x,d,xi, name) solve for weights
• compute_rigidity_tensor(M,opt... compute_rigidity_tensor - compute the rigidity
• compute_skewness(x,center_mea... compute_skewness compute the Skewness.
• compute_structure_tensor(M,si... compute_structure_tensor - compute the structure tensor
• compute_symmetric_conditional... compute_symmetric_conditional_histogram - compute a symmetric histogram
• crop(M,n,c) crop - crop an image to reduce its size
• dirac(s,n) dirac - dirac function.
• gen_brownian_motion(n,d,sigma... gen_brownian_motion_1d - generate a 1D brownian motion
• getoptions(options, name, v, ... getoptions - retrieve options parameter
• imageplot(M,str, a,b,c) imageplot - diplay an image and a title
• 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.
• peform_wiener_filtering(x0,x,... peform_wiener_filtering - perform Wiener filtering
• perform_arithmetic_coding(x,d... perform_arithmetic_coding - perform adaptive arithmetic coding
• perform_best_dct(x,dir,option... perform_best_dct - compute a best local DCT.
• perform_chirpz_transform(x,z) perform_chirpz_transform - compute the chirp Z-transform
• perform_classical_mds(D,ndims...
• perform_conditional_histogram... compute_conditional_histogram - compute conditional histograms
• perform_convolution(x,h, boun... perform_convolution - compute convolution with centered filter.
• perform_dct2_transform(x,dir,... perform_dct2_transform - perform the DCT2 transform
• perform_dct_transform(x,dir) perform_dct_transform - discrete cosine transform
• perform_histogram_equalizatio... perform_histogram_equalization - perform histogram equalization
• perform_histogram_matching(x,... perform_histogram_matching - match the histogram of two image.
• perform_huffcoding(x,T,dir) perform_huffcoding - perform huffman coding
• perform_kmeans(X,nbCluster,op... perform_kmeans - perform the k-means clustering algorithm.
• perform_laplacian_fitting( h,... perform_laplacian_fitting - compute the parameter for a laplcian distribution
• perform_moment_equalization(x... perform_kurtosis_equalization - equalize moments of order 1,2,3,4.
• perform_noise_estimation(x) perform_noise_estimation - estimate additive noise level
• perform_quantization(x, T, di... perform_quantization - perform a quantization of the signal with double zero bin.
• perform_rbf_interpolation(Xi,... perform_rbf_interpolation - scattered data interpolation
• perform_rle_coding(x, dir, op... perform_rle_coding - perform run length coding of a 1D sequence
• perform_shannon_estimation(M,... evaluate_nbr_bits - evaluate the number of bits to code a signal
• perform_shannon_interpolation... perform_shannon_interpolation - spectral interpolation
• perform_spectral_orthogonaliz... perform_spectral_orthogonalization - orthogonalize a square matrix
• 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_tensorial_transform(x... tensorial_transform - compute tensorial multiplication
• perform_thresholding(x, t, ty... perform_thresholding - perform hard or soft thresholding
• perform_vector_quantization(a... perform_vector_quantization - perform the quantization of a matrix
• perform_vf_normalization(v1) perform_vf_normalization - renormalize a vf.
• perform_walsh_transform(x) perform_walsh_transform - 1D and 2D walsh transform
• plot_best_basis(x, btree, sty... plot_best_basis - plot a best local DCT basis
• plot_hufftree(T,p) plot_hufftree - plot a huffman tree
• plot_scattered(pos,z, resc) plot_scattered - plot 2D scattered data using triangulation.
• plot_tensor_field(H, M, sub) plot_tensor_field - display a tensor field
• prod_tf_sf(A,B) prod_tf_sf - compute the product of 2 tensor fields
• prod_tf_sf(T1,s) prod_tf_sf - compute the product of a tensor field by a scalar field.
• prod_tf_vf(t,v) prod_vf_vf - compute the product of a tensor field and a vector field.
• prod_vf_sf(v1,s) prod_vf_sf - compute the product of a vector field by a scalar field.
• prod_vf_vf(v1,v2) prod_vf_vf - compute the dot product of 2 vector field.
• psnr(x,y, vmax) psnr - compute the Peack Signal to Noise Ratio
• publish_html(filename, output... publish_html - publish a file to HTML format
• rand_discr(p, m) rand_discr - discrete random generator
• rescale(x,a,b)
• snr(x,y) snr - signal to noise ratio
• compile_mex.m
• test_arithfixed.m
• test_arithmetic_coder.m
• test_convolution.m
• test_filter.m
• test_histo_equalization.m
• test_histogram_interpolation.m
• test_huffman.m
• test_plot_dct.m
• test_rbf_1d.m
• test_rbf_2d.m
• test_rle.m
• test_vector_huff.m
• test_vq.m
• View all files