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xinhao
- 滤波器设计 产生一个连续信号，包含低频，中频，高频分量，对其进行采样，进行频谱分析，分别设计低通，带通，高通滤波器对信号进行滤波处理，观察滤波前后信号的频谱。-The filter is designed to generate a continuous signal containing the low, mid, and high frequency components, to be sampled, for spectral analysis, respectively, to
matlab
- 自己写的将二维小波分解后的系数提取正操作和逆操作，比如，一副图像进行一次小波分解后系数只是一个数列，不直观，提取之后将形成4个二维数组，分别含有低频系数和3个高频系数。-Write their own dimensional wavelet decomposition coefficients extraction positive operating and inverse operation, such as an image once after wavelet decomposition
filter_F
- 高频滤波器，实现了滤除低频分量的功能，matlab实现实用-high-frequency filter
Addfilter
- 1． 学习用DSP用户开发板产生信号混叠的方法和目的。 2． 熟悉数字滤波的基本原理和实现方法。 高频正弦波和低频正弦波的混叠信号，送入TLV320AD50进行A/D变换，IIR低通滤波器滤波，经D/A输出低频正弦波信号。-1. Learning DSP user development board signal aliasing method and purpose. 2. Familiar with the basic principles and implementation of
LOW-PASS-FILTER
- 本程序主要能实现对图像进行低通滤波，保护图像的低频信息，滤除高频信息，为图像边缘检测提供良好的环境-This procedure can realize the image is low pass filtered, low-frequency information of the protected image, to filter out high frequency information, provide a good environment for the image edge det
image-fusion
- 基于低频融合策略的小波图像融合算法 ，高频系数融合均采用基于像素点绝对值取大的规则-Wavelet image fusion algorithm based on low-frequency fusion strategy, integration of high-frequency coefficients are based on the absolute value of the pixel point to take a big rule
123
- dwt数字水印对二、三层中的中频、高频小波系数进行操作。因为第二、三 层的小波系数是上一层低频系数进一步分解得到的结果-dwt digital watermarking, three intermediate frequency, high-frequency wavelet coefficients. Second, the wavelet coefficients of the three is a layer of low-frequency coefficients further
fredivn
- 一段FPGA的分频代码,可以完成FPGA中高频分成低频的功能-a section of code about division of frequency which can cut high frequency to low frequency
lowpass-filter
- 光学图像的空间滤波，低通滤波可略去高频，通过低频。-lowpass filter
xiaobohuidutuxiang
- 先将彩色图像灰度化，然后利用小波分解分解其高频和低频成分，然后分别单独显示3个高频图像以及总的高频图像-The first color image gray, and then use wavelet decomposition of the high-frequency and low-frequency components, and then separately to three high-frequency image and high-frequency image
guassianLPF
- 高斯频域低通滤波器，可以对图像提取其低频信息，得到图像的模糊结果。通过对半径的选取，可以滤除图像中的高频噪声信息。-gaussian low pass filter
mfcc
- MFCC已经广泛地应用在语音识别领域。由于Mel频率与Hz频率之间非线性的对应关系，使得MFCC随着频率的提高，其计算精度随之下降。因此，在应用中常常只使用低频MFCC，而丢弃中高频MFCC。这个程序是求MFCC 的-MFCC has been widely used in speech recognition. Mel frequency Hz as a nonlinear correspondence relationship between the frequency, such as t
rgbwavelet
- 彩色RGB图像小波变换，并且重构出低频、中频、高频各个频带子块的图像。-RGB image wavelet and restruct the different frequency band
Fourier-Transform
- 数字图像处理技术中，傅里叶变化把图像从“空域”变为“频率”。对于一幅图像，高频部分代表了图像的细节、纹理信息；低频部分代表了图像的轮廓信息。如果对一幅精细的图像使用低通滤波器，那么滤波后的结果就剩下了轮廓了。这与信号处理的基本思想是相通的。如果图像受到的噪声恰好位于某个特定的“频率”范围内，则可以通过滤波器来恢复原来的图像。-Fourier Transform，Visual C++
dwt
- 离散小波分解，把图像分为高频细节与低频概貌。-Discrete wavelet decomposition, the image is divided into high and low frequency detail overview
tujiang
- 电压突降信号，利用HHT结合S变换进行特征提取，获取高频、低频特征-Voltage dips signals, using HHT combined S transform for feature extraction, to obtain high-frequency, low-frequency characteristics
db4
- 1、 降噪步骤： （1） 一维信号的小波分解。选择一个小波并确定分解的层次，然后进行分解运算。 （2） 小波分解高频系数的阈值量化。对各个分解尺度下得高频系数选择阈值进行软阈值量化处理。 （3） 一维小波重构。根据小波分解的最底层低频系数和各高频系数进行一维小波重构。 matlab里面有关于去噪的函数，你可以找一下~~ 这说的只是基本原理，希望有所帮助-1, noise reduction steps: (1) one-dimensional signal wavelet d
signal_separation2
- 运用matlab语言编写，可用于一维信号分离，可将高频和低频信号分离出来-Using matlab language, can be used for one-dimensional signal separation, high and low frequency signals can be separated
fequent_measure
- msp430测频程序，采用等精度法实现，可测低频也可测高频，430类型为2618-msp430 frequency measurement procedures used to achieve such precision method can measure low frequency can be measured, 430 type 2618
waveCompression
- 将电力市场数据使用小波分解成为两个长度相等的低频和高频小波，然后可以用于灰色模型的建模和波形模型建模！-The electricity market data using wavelet decomposition into two equal length low and high frequency wavelet gray model can then be used for modeling and waveform modeling!