资源列表
nstdhaardec2
- 二维Haar小波非标准规格化分解程序（多级分解）它的作用是使用Haar小波对每一行和每一列像素值进行小波变换。-Normalized two-dimensional Haar wavelet decomposition of non-standard procedures (multi-level decomposition) and its role is to use the Haar wavelet for each row and column pixel values ??of the
thresholdtestdemo
- 本程序作用是首先载入图像信号,使用小波变换,比较显示不同阈值下的重构图像及相关信息，即小波变换在不同阈值下重构的测试演示程序 -This role is to first load the program image signal, using wavelet transform, comparison shows that different thresholds of the reconstructed image and related information, that is a dif
foveate
- creates foveated image based on Gaussian multiresolution pyramid. Uses formula from Geisler and Perry (1998) to determine spatial dropoff around a point of gaze-creates foveated image based on Gaussian multiresolution pyramid. Uses formula from Geis
LagInterp
- Lagrange 插值,该程序实现线性，二次，三次等等lagrange插值功能。-the interpolation of Lagrange
wavelet-threshold-shrinkage-
- 小波阈值收缩算法的matlab程序，对信号进行去噪得到纯净语音-Wavelet threshold shrinkage algorithms matlab program, get on the clean speech signal denoising
signal-fourier-analysis
- 信号傅里叶变换的matlab程序，包括对幅频和相频的图形绘制-Signal Fourier transform matlab program, including the magnitude and phase frequency of the graphics rendering
shipinfenxi-
- 用stft、小波变换、EMD分别对突变信号进行时频分析-With stft, wavelet transform, EMD mutations were signals of time-frequency analysis
CS-OMP-wavelet-reconstruction
- 基于小波变换的图像压缩感知 并且进行OMP重建 对压缩感知的性能与采样点数进行性能分析与比较-Image compression based on wavelet transform perception and the OMP reconstruction performance of compressed sensing and sample analysis and comparison of performance points
Matlab_PN_QC-LDPC
- 包含了QC-LDPC编码、译码 的程序，含有PN序列的实现，欢迎下载-Contains a QC-LDPC codes, decoding procedure, with the realization of PN sequences, welcome to download
adapBP
- BP算法，基于压缩感知的基追踪重构算法，能够很好的重构出原始信号-BP algorithm, based on perception-based compression algorithm for track reconstruction
guided-filter-code
- guided-filter-code.rar 一中新的图像滤波方法 -guided-filter-code.rar a new image filtering method in
PCA
- 基于PCA的遥感图像融合，效果不错。可以作为遥感图像融合方面入门学习使用。-PCA-based remote sensing image fusion, good results. Integration of remote sensing images can be used as an introduction to use.