搜索资源列表
AutomaticSpectra
- This toolbox is Automatic spectral analysis for Irregular sampling/Missing data, analysis of spectral subbands, Vector Autoregressive modeling and Detection. It requires ARMASA toolbox. This toolbox can be downloaded from the Matlab Central file exch
ASA
- 自动谱分析：可用于丢失/采样/子束光谱分析；矢量自动迭代，可用于建模，故障诊断；-The applications of this additional toolbox are: - Automatic spectral analysis for Irregular sampling/Missing data, analysis of spectral subbands, - Vector Autoregressive modeling and Detection [uses ARMA
decomp_reconst
- Decompose image into subbands, denoise, and recompose again. fh = decomp_reconst(fn,Nsc,Nor,block,noise,parent) Javier Portilla, Univ. de Granada, 5/02 Last revision: 11/04-Decompose image into subbands, denoise, and recompose again.
decomp_reconst_full
- Decompose image into subbands, denoise, and recompose again. fh = decomp_reconst(im,Nsc,Nor,block,noise,parent,covariance,optim,sig) covariance: are we considering covariance or just variance? optim: for choosing between BLS-GSM (opti
decomp_reconst_W
- Decompose image into subbands, denoise using BLS-GSM method, and recompose again. fh = decomp_reconst(im,Nsc,filter,block,noise,parent,covariance,optim,sig) im: image Nsc: number of scales filter: type of filter used (see namedFilt
decomp_reconst_WU
- Decompose image into subbands (undecimated wavelet), denoise, and recompose again. fh = decomp_reconst_wavelet(im,Nsc,daub_order,block,noise,parent,covariance,optim,sig) im : image Nsc: Number of scales daub_order: Order of the daubec
wavelet
- decompose the input images into subbands
scramble
- These routines scramble an audio file by moving around short, overlapping windows within a local window. They can be used to create new versions of existing recordings that preserve the spectral content over longer time scales, but remove structure a
lpc-distrotion
- This file computes the distortion of speech files regarding to lpc model in different subbands.
61IC_H4231
- PAV (H265) 是 音视频 压缩解压 协议，非常不同于H264/MPEG4，ZPAV (H265) 的基本算法 是 小波，多级树集合群，广义小波，数学形态小波，...... ZPAV (H265) 基本算法 ： 1，图象与声音分解与合成 ：小波 ； 2，图象与声音前处理 ：小波子带零交叉降噪，目标纹理处理，语音处理 ； 3，速率控制 ：小波子带熵速率控制 ； 4，量化与反量化 ：小波子带熵量化与反量化 ； 5，低频分量和高频分量的降维 ：小波子带邻域交
Pudn
- A filter bank structure that can deal effectively with piecewise smooth images with smooth contours, was proposed by Minh N Do and Martin Vetterli. The resulting image expansion is a directional multiresolution analysis framework composed of contour
PROG5
- MATLAB code to Import a gray scale image Decompose it into two-three sub bands,Reconstruct the original image the different subbands -MATLAB code to Import a gray scale image Decompose it into two-three sub bands,Reconstruct the original image
imagecompression972D5899
- Shows single- and two-stage-decomposition of a sample image, as well as reconstructed branches. The reconstruction error is shown. Also demonstrates that better compression can often be obtained if different thresholds are allowed for different sub