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时频分析代码，希望对大家有用，关于盲源分离的基础知识(Time frequency analysis code, we hope to be useful to everyone, about the basic knowledge of blind source separation.)

提升方法实现小波变换，大大提高了小波变换的速度，并且不会降低图像恢复质量，很有价值的算法实现(upgrade method wavelet transform and greatly enhance the speed of wavelet transform, and will not reduce the image restoration quality, great value Algorithm)

小波变换阈值去噪的文章，基于最大最小准则计算(Minimax Estimation, Adaptive Estimation, Nonparametric Regression, Density Estimation, Spatial Adaptation, Wavelet Orthonormal bases, BesovSpaces, Optimal Recovery.)

个人编写的提升格式97小波去噪，采用硬阈值法，三层分解，包括小波变换，去噪，逆变换三步(Written format of 97 individuals to enhance the wavelet denoising using hard threshold method, three decomposition, including wavelet transforms, denoising, inverse transform three-step)

说明：  介绍傅立叶变换的漫画，不是大量公式叙述或证明，简洁生动，易于理解。(The caricature that introduces Fourier transform, is not a lot of formula narration or proof, concise and vivid, easy to understand.)

小波信号分解与重构的Matlab程序，程序里边涉及卷积的直接调用的Matlab的conv()函数。(Wavelet signal decomposition and reconstruction in Matlab,Program inside invoked directly related to the convolution of Matlab conv () function.)

小波谱分析mallat算法经典程序 希望对大家的学习有帮助(The small spectral analysis of the classical program of the mallat algorithms hope that everyone' s learning)

图像加入水印提取水印的Matlab代码，包括的内容较多，能够完成各种实验的要求。(Extracted watermark image watermark to join the Matlab code, including the contents of more to complete the requirements of various experiments.)

this watermarking is implemented using wavelet transform..

数字基带传输基带信号，指未经调制的信号。这些信号的特征是其频谱从零频或很低频率开始，占据较宽的频带。 基带信号在传输前，必须经过一些处理或者某些变换（如码型变换、波形和频谱变换）才能送入信道中传输。处理或变换的目的是使信号的特性与信道的传输特性相匹配。 数字基带信号是消息代码的波形表示。表示形式有多种，有单极性、双极性波形，归零和非归零波形，差分波形、多电平波形之分，各自有不同的特点。 研究数字基带信号通过加性高斯白噪声信道的传输，并且假设信道除了叠加高斯噪声外，不会对信号产生其他失真。(matlabSimulation(pulse amplitude modulation) modulation signal in AWGN (additive white Gaussian noise AWGN (Additive White Gaussian Noise)) under the channel bit error rate and bit error rate performance, and compared with the theoretical value.)