搜索资源列表
LZC_六层_插值44无损_整理
- LZC算法实例，该算法采用六层插值44，无损压缩-LZC algorithm example, the algorithm used six interpolation 44, lossless compression
小波应用LZC算法编解码
- 有两个vc工程文件，分别是lzc编码和解码。算法主要可以对灰度图像进行压缩和解压缩，效果比jpeg要好。其实这就是jpeg2000的原型。-two vc engineering documents were lzc encoding and decoding. This algorithm can be gray image compression, the effect is better than jpeg. This is act
小波应用LZC算法编解码
- 有两个vc工程文件，分别是lzc编码和解码。算法主要可以对灰度图像进行压缩和解压缩，效果比jpeg要好。其实这就是jpeg2000的原型。-two vc engineering documents were lzc encoding and decoding. This algorithm can be gray image compression, the effect is better than jpeg. This is act
LZC_六层_插值44无损_整理
- LZC算法实例，该算法采用六层插值44，无损压缩-LZC algorithm example, the algorithm used six interpolation 44, lossless compression
improvingLZW
- LZW was originally designed for implementation by special hardware, but it turned out to be highly suitable for efficient software implementations too. An enhanced variant is available on UNIX systems and many other
LZC
- 计算一维向量的LZC，已经设置为头文件，可以直接运用-One-dimensional vector of LZC, has been set for the header files, can be applied directly
lzc
- vc++6.0建立窗口来控制单片机步进电机的控制系统-vc++6.0 create window control chip stepper motor control system
lzc
- LZC(leading zero counter) 硬體應用-LZC (leading zero counter) Hardware Applications
Wavelet_EntropyinformationLZC
- 脑电处理中，特征提取的几个有用算法程序，包括小波熵、LZC脑电复杂度、互信息等，以上程序，我已将亲自运行，可以通过，便于大家做脑电特征提取，希望对大家有帮助-EEG processing, feature extraction algorithm several useful programs, including wavelet entropy, LZC EEG complexity, mutual information, the
LZC
- 在现代信号处理邻域，时常需要求出信号的复杂度，信号的复杂度可用LZ复杂度进行描述-In the neighborhood of modern signal processing, often need to determine the degree of complexity of the complex signal available LZ complexity, the signals will be described
LZC
- 计算信号的LZ复杂度的MATLAB代码，清晰易懂-MATLAB code of calculating LZ complexity of signal
LZC
- 用于计算脑电信号或者心电信号的LZC复杂度，基于MATLAB开发-Use for calculating the LZC with one-dimensional vector.
lzc代码库
- hah 劣迹斑斑你看手机那我就把你vkdjnbkn(hahavsbvBVUHNJNBNDBSIBHNUISBSBS)
程序
- main_feature.m：为特征提取主要程序,其中调用filter50.m子程序为50HZ工频滤噪；调用ApEn.m c0complex.m kEn_correct.m lyapunov_wolf.m LZC.m spectral_entropy.m SVDen.m SampEn.m子程序为非线性特征（近似熵，C0复杂度，K熵等）提取；wave_brain为小波分析频段特征提取。其中采样频率皆为256HZ。(ApEn.m c0com