资源列表
Untitled11
- 小波语音去噪去噪，比较其在不同阈值环境下的信噪比以及输出的波形-Wavelet speech denoising denoising, to compare the signal to noise ratio in the environment of different thresholds and output waveforms
OFDM
- OFDM系统完整程序，小波/小波包变换在OFDM中的应用的程序。-Complete program of the OFDM system, wavelet/wavelet packet transform in OFDM applications program.
Spectrum-Analyzer
- 这是一个简单的应用，建立了解的Windows音频波形API的基本知识，并得到快速傅立叶变换（FFT）基本掌握。应用程序的特点是：双缓冲图形，采样音频信号源，选择录音源，使用调音台，计算FFT频谱阵列，并绘制采样数据。-This is a simple application built to understand the basics of the Windows Audio WAVE API, and to get a basic grasp on Fast Fourier Transfor
DWT
- 基于小波变换的数字盲水印及对嵌入水印后图像的攻击检测-Attack detection based on wavelet transform digital blind watermark and the watermarked image
experiment4_b
- 对一幅灰度图像，实现用Haar小波、Db2、Db3小波的分解与重构-A grayscale image, using the Haar wavelet the Db2, Db3, wavelet decomposition and reconstruction
imgdec
- 该源码是基于小波变换的反锐化掩模算法，小波变换用于图像增强的方法之一-The source is Unsharp Masking Based on Wavelet Transform
scale
- 基于三级小波变换的音频数字水印，详细介绍了水印的嵌入提取和攻击算法-Digital Audio Watermarking Based on three wavelet transform, described in detail the watermark embedded in the extraction and attack algorithms
maidongxinhao
- 文基于小波分析的特点，提出了一种对信号进行多重小波 变换的自适应去噪法，该方法不仅克服了小波去噪软硬阈值法的局限性，而且解决了自适应滤波中参考信号选取难的 问题，将该方法用于脉搏信号降噪，得到了满意的去噪效果。-The text features based on wavelet analysis, proposed an adaptive multi-wavelet transform for signal denoising method, this method not only
rdseedv5.3.tar
- rdseed，读去fullseed格式地震数据的软件，常用于iris下载后数据的读取及转化-rdseed, read go fullseed the format seismic data software commonly used in the iris after downloading data read and transformed
jiyumangyuanfenlidexinhaochuli
- 基于盲源分离的信号噪声滤除，适用于学习的完美程序，带注释。-Based on blind source separation of signal noise filtering, applicable to learning the perfect program annotated.
morlet
- MORLET小波分析在MATLAB的环境下 适合初学者-MORLET waveLET ANYSIS
HHT_APP
- 包括HHT测试程序以及HHT在地震信号处理，轨道异常信号处理，微弱信号检测，语音信号处理，和基于HHT改进算法的介绍-Including the HHT test procedures as well as the HHT in seismic signal processing, track abnormal signal processing, signal detection, speech signal processing, and introduction of improved a