搜索资源列表
wavelet.rar
- jpeg2000小波压缩源代码,Source codes of wavelet compression for JPEG2000
用matlab实现小波压缩和小波重构程序
- 用matlab实现小波压缩和小波重构程序，并且通过相位相关对图像进行了拼接。-Using matlab wavelet compression and wavelet reconstruction implementation procedures, and phase correlation of the image by the stitching.
Matlab-Wavelet-Denoise-Compress
- 这是一个关于小波变换去噪压缩的实例，适合初级入门者使用。-This is a compression on the wavelet transform de-noising example, suitable for junior beginners to use.
wavelets
- 基于小波变换的图像压缩代码，包括压缩比、运行时间和计算复原图像的峰值信噪比-Image compression based on wavelet transform code, including compression ratio, operation time and recovery images of the peak signal to noise ratio calculation
f10_1
- 小波变换在信号处理中的应用,包括压缩,去噪等,程序很简单-wavelet transform in signal processing applications, including compression, denoising, a very simple procedure
WaveletTransformInImageProcessingUsingMATLABToolbo
- 本文简单介绍了基于小波变换的图像分解与重构，在此基础上讨论了MATLAB语言环境下 图像压缩和图像融合的基本方法-This article briefly introduce the wavelet-based image decomposition and reconstruction, on the basis of discussion under the MATLAB language environment image compression and image fusion of
Matlab_Wavelet_Denoise_Compress
- 包括的多个示例源代码有：一维线性非线性近似、二维线性非线性近似、使用线性滤波过滤噪声、使用小波门限消除噪声、使用小波变换压缩一维信号、二维小波图像压缩等等。-Including the source code of a number of examples are: a linear one-dimensional non-linear approximation, nonlinear two-dimensional linear approximation, the use of linear
Wavelet-Image-Compression-Reconstruction
- 基于小波分析的图像压缩以其重建，代码很好的实现了这一功能。-Wavelet-based image compression for its reconstruction, to achieve a good code of this function.
Matlabbasedavelettransforminimagecompressionapplic
- 基于Matlab的小波变换在图像压缩中的应用，这是学习资料，主要讲小波变换。-Matlab-based wavelet transform in image compression applications, this is the learning materials, the main speaker of wavelet transform.
system
- 数字视频监控系统代表了监控行业的未来发展方向，蕴藏着巨大的商机和 经济效益，成为目前信息产业中颇受关注的数字化产品。特别是近年来，随着 技术的进步和社会经济的不断发展，客观上对监控系统的准确性、有效性和方 便性提出了更高要求。主要体现在：需要实施视频监控的范围更加广阔，达到 点多面广；要求监控系统与管理信息系统、网络系统结合，实现对大量视频数 据的压缩存储、传输和自动处理，从而达到资源共享，为各级管理人员和决策 者提供方便、快捷、有效的服务。可见基于 DSP 和小波压缩技
audiocompression
- 此程序主要是通过使用小波达到音频压缩的目的，可以比较不同的小波函数和压缩次数音频文件的差异-This process is mainly achieved through the use of wavelet purpose audio compression, you can compare different compression of the wavelet function and the difference in the number of audio files
5544
- 小波变换在数字化图象的压缩中起着极其重要的作用。本文在简单阐述小波变换基本理论和Mallat算法基本思想的基础上,着重利 用Matlab软件研究了小波变换在图像压缩技术中的具体应用,结合实例给出了具体程序,并对程序进行了详细说明-Wavelet transform of digital image compression plays an extremely important role. In this paper, a simple basic theory of wavelet tra
lunwen
- 基于小波——分形压缩matlab实现，论文 供参考-Based on Wavelet- matlab fractal compression achieved, for reference papers
ImageCompressionEncodingBasedonwavelettransform.ra
- 基于小波变换的图像压缩编码Image Compression Encoding Based on wavelet transform,自己编的一种图像小波编码，压缩率达到12:1.希望能给新手有所提示.打开main函数，直接运行就行了。wavelet这个函数的参数详见它开头的说明. -Based on Wavelet Transform Image Coding Image Compression Encoding Based on wavelet transform, their own
matlab-waveletprocess
- 讲解了 MATLAB语言环境下 图像压缩和图像融合方面的基本方法和基于小波变换的图像分解与重构。-Explained the MATLAB language environment, image compression and image integration of the basic methods and wavelet-based image decomposition and reconstruction.
MATLABshixianxiaobobianhuanyasuo
- MATLAB实现提升小波变换的图像压缩,下载即可运行-MATLAB realization of Lifting Wavelet Transform Image Compression, download you can run the
MATLABwavelet
- 小波变换的matlab程序，包括离散小波变换，多尺度变换，小波包分析，小波用于图像压缩、水印、去噪-Matlab wavelet transform procedures, including the discrete wavelet transform, multi-scale transform, wavelet packet analysis, wavelet image compression, watermarking, denoising
atrous_alg_SWT
- 在MATLAB中用非抽样小波变换也称多孔算法实现信号或图像的压缩。-In MATLAB using non-decimated wavelet transform algorithm, also known as porous signal or image compression.
myidwt1
- matlab环境的小波压缩算法，给予dwt的心电图压缩，滤去了高频分量，具有较高的压缩比率-matlab environment wavelet compression algorithm, giving dwt ECG compression, filter the high frequency components with high compression ratio
8880短时傅里叶小波
- 对信号进行短时傅里叶变换和小波变换，观察其时频特性，压缩包中含有需要用到的测试信号文件，可以直接运行，供参考(Carry out short-time Fourier transform and wavelet transform on the signal, observe its time-frequency characteristics, and the compression package contains the test signal files needed, which ca