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Example6_2
- 用MATLAB实现对一语音信号用不同小波进行分解，提取各层的高低频系数，画出各系数波形，并重构。-MATLAB voice signal to a different wavelet decomposition, from the high levels of low-frequency coefficients. he painted the waveform coefficients, and Reconstruction.
Example2_4_1
- 用MATLAB对一图象分别用单尺度和二维小波分解，观察各高低频部分，对图象进行重构和压缩。-MATLAB image of a single yardstick were used and two-dimensional wavelet decomposition, the high-low frequency observation, right image reconstruction and compression.
Example2_6_1
- 用MATLAB对一图象分别用不同小波分解，观察高低频部分进行重构，比较重构误差，再进行阈值消噪，比较消噪前后图象。-MATLAB right one image with different wavelet decomposition, high-low-frequency observations for some remodeling, more reconstruction error and then de-noising, compared before and after image
freqhoppsprdspctrm
- 已知载波频率的扩频通讯MATLAB程序，通过扩展频率实现低信噪比的传输 -known carrier frequency of spread spectrum communication MATLAB program, through the expansion of low-frequency signal-to-noise ratio transmission
xiaobo12
- 二维小波分析图像压缩 去掉高频部分,保留低频-2D image analysis wavelet compression to eliminate high-frequency, low-frequency reservations
LiftingWaveTransform
- 此为基于二代提升小波的阈值压缩算法源码，其中可以设置小波变换的分解层数，使用的小波名称，及各层阈值设置计算公式中的参数。并将低频系数转化为十六进制，方便在其上进一步压缩，如采用Huffman压缩等，程序思路清楚，附有完整的注释，可以使用多种小波，并且很好得体现了二代小波的思想，对于初学小波者帮助很大。-based on the second generation of this upgrade wavelet compression algorithm threshold source, whi
waveletTSSF
- 将提升小波用于目标跟踪。 小波提升的核心就是更新算法和预测算法,通过预测算法可以得到高频信息,而通过更新算子可以得到正确的低频信息.提升样式可以实现原位计算和整数提升,并且变换的中间结果是交织排列的.其中原位计算和整数提升在硬件实现中很有价值.-will enhance wavelet for target tracking. Lifting the core algorithm and is updated prediction algorithm, algorithm can be pr
带通fir设计及图形显示比较
- 数字带通滤波器的设计过程。共3个源程序。其中，dos.cpp为带通FIR的源程序，其中的滤波器阶数n，滤波器的低频fln，滤波器的高频fhn，窗函数w，可以按照自己的要求改变。这里采用的是汉宁窗。主函数main.cpp实现输入与fir的h(n)的卷积，输出结果Y(n)，并将其存储在y.txt中。最后，graphics.cpp从y.txt读取数据，再由语句画出波形，可以清楚地看出计算结果是否正确，并进行比较。-digital band-pass filter design process. A t
fir-low-pass-filter-design
- 用矩形窗设计了一个FIR线性相位低通数字滤波器。截止频率0.5π，阶数为21阶。求出了系统函数并画出了幅频响应。-A rectangular window design with linear phase FIR low-pass digital filter. Cutoff frequency 0.5π, the order of 21 bands. Find the system function and plotted the amplitude-frequency response.
Information-hiding
- 基于 DCT(离散余弦变换 )域的信息隐藏算法是目前应用最广的变换域算法 ,此类算法的最大不足是嵌信息量小。通过分析 DCT域隐藏算法隐藏容量少的原因 ,提出了一种大容量的 DCT域信息隐藏算法。算法首先对载体图像进行频谱均匀化处理 ,然后对图像进行全局 DCT变换 ,并将隐藏信息嵌入到载体图像的低频 DCT系数上 ,信息嵌入采用分段量化的方法实现 ,提取隐藏信息时不需要原始载体图像。实验结果表明 ,该算法的嵌入容量大 ,不可感知性好。-Based on DCT (discrete cosine
ECGSYNC-physionet
- ECGSYN generates a synthesized ECG signal with user-settable mean heart rate, number of beats, sampling frequency, waveform morphology (P, Q, R, S, and T timing, amplitude,and duration), standard deviation of the RR interval, and LF/HF ratio (a measu
Butterworth
- 内含巴特沃思滤波器（Butterworth）MATLAB代码，分高通与低通两种情况，并用mesh显示滤波器的三维图-Containing Butterworth filter (Butterworth) MATLAB code, sub-high-pass and low pass both cases, with mesh filter of three-dimensional map display
yuyin
- 语音信号的采集与处理，数字信号处理课设，可对已录制好的语音进行高中低频的滤波处理，并可现场录音处理，包含所有源代码，GUI，课设报告等。-Voice signal acquisition and processing, digital signal processing class- can be carried out on the high school has recorded the voice of low-frequency filter processing, recording
matlab1
- 我们知道，小波变换的一级分解过程是，原始信号分别进行低通、高通滤波，再分别进行二元下抽样，就得到低频、高频（也称为平均、细节）两部分系数；而多级分解则是对上一级分解得到的低频系数再进行小波分解，是一个递归过程。以下是一维小波分解的程序. -We know that a wavelet transform decomposition process is that the original signal were low-pass, high pass filter, and then
lpf
- 通过时域转换为频域，在频域中截取低频部分，去掉高频部分将结果再转换到时域以实现低通滤波的功能。-Through the time domain is converted to frequency domain, in the frequency domain low-frequency part of the interception, to remove high-frequency part of the results and then switch to the time domain
filter0
- Useing the MATLAB command remez to obtain a low pass filter z(n) with a cutof frequency of 40 Hz at a sample rate of 1000 Hz.
RK
- Comparison of Runge Kutta Schemes (Classical, Low-storage, low dissipation, 3rd-order, 4th-order etc.. )
czf_blurcue
- In this paper, a multimodal image fusion algorithm based on multiresolution transform and particle swarm optimization (PSO) is proposed. Firstly, the source images are decomposed into low-frequency coefficients and high-frequency coefficients b
high-and-low-fusion-seprately
- 用matlab编写的程序，将图像的高频部分和低频部分分别以不同的融合规则进行融合，结果优于一般的最大值或者加权平均的方法-Matlab programs written in the high frequency part and low frequency part of the image were different fusion rules fusion, the result is better than the maximum or weighted average method
combining-low-frequency-and-spread-spectrum-water
- combined low frequency with watermarking