Toolbox signal: test_plot_dct.m - File Exchange

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
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from Toolbox signal by Gabriel Peyre
Signal processing related functions.

test_plot_dct.m

% test for plot of local DCT

n = 1024;

btree = [1   1 0   0 1 0 0   0 0 0 0 0 0 0 0];

options.btree = btree;

delta = 15;
a = [0 n/4+15 3/8*n n/2]+delta;


style = 'tree';
style = 'frame';
clf;
for i=1:length(a)
    subplot(length(a),1,i);
    x = perform_best_dct(dirac(n,a(i)),-1,options);
    plot_best_basis(x, btree, style);
end

Highlights from Toolbox signal

Highlights from
Toolbox signal