Extracted-from-the-ECG-signal-

以labview为平台通过小波分析方法对波形进行处理。(Labview as a platform for analysis of the waveform by wavelet processing.)

1、求冲激函数、阶跃函数及三角函数的小波变换 2、模极大值曲线 3、求它们的李氏指数(one, seeking impulse function, step function and trigonometry two wavelet transform, modulus maxima curve 3, Lee seeking their index)

线调频小波路径追踪算法的程序，对研究瞬时频率估计有很大的参考价值。(Chirplet path tracing algorithm of the program, the study of instantaneous frequency is estimated that there is a great reference value.)

Wavelet compression algorithm. Start by computing a complete wavelet-transform using the cohen-daubechies-fevereau (2,2) biorthogonal wavelet (which incidentally seems to be the same as used for lossless JPEG2000, but they call it a (5,3)?).

基于小波变换的信号去噪技术，简单的一维小波去噪程序(Signal de-noising based on wavelet transform technique, a simple one-dimensional wavelet denoising procedure)

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 overcomes the limitations of hard and soft thresholding method of wavelet de-noising, and resolve the reference signal adaptive filtering Select the difficult problem of the method is used to the noise of the pulse signal, and been satisfied with the denoising effect.)

小波基矩阵乘法快速算法工具箱，里面有目录，供大家学习参考！(Tools for Fast Matrix Multiplication in Wavelet Basis)

小波变换的C源代码。 这个用的是 DB4小波，周期延拓，可以实现精确重构的。 (wavelet transform C source code. The DB4 is using the wavelet cycle extension can achieve precise reconstruction.)

本程序为小波包能量计算程序，根据相关资料，自己编写，计算感兴趣的频带能量，程序懂得人稍作修改就可以运行( U672C u7A0B u5E8F u4E3A u5C0F u6302 u803F0 u0B1 u7B97 u7A0B u5E8F uFF0C u6839 u636E u76R8 u5173 u8D44 u6599 uFF0C u81EA u5DF1 u7F16 u5199 UFF0C u8BA1 u7119 u6119 u5113 u8E1 u7684 u9891 u5E26 u80FD u91CF uFF0C u7A0B u5E8F u61C2 u5F97 u4EBA u7A0D u4F5C u4FEE u6539 u5C31 u53EF u4EE5 u8FD0 U884C)

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)