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此程序主要是通过使用小波达到图像文件压缩的目的，可以比较不同的小波函数和压缩次解压缩后图像文件的差异，注意图像是二维的处理时使用二维的小波函数(This process is mainly through the use of wavelet compression to achieve the purpose of image files, you can compare different wavelet functions and extract the compressed time difference after the image file, pay attention to the handling of two-dimensional image is the use of two-dimensional wavelet function)

说明：  用matlab模拟圆孔衍射图像，入射光为平面波，衍射距离可以任意调节(Matlab simulation using circular aperture diffraction images, the incident light for the plane wave, diffraction can adjust the distance)

mfiles useful for finding huffman code

A nice tutorial about OFDM and its use in 802.11.

ARRAY PHASE TOOL BOX COGNITIVE RADIO

经济学的数值方法 配套例题以及习题答案的有关高斯法部分。(gauss seidel methods, SOR methods)

提出了一种多迸制频移键控(M娲K)信号调制分类及解调方法，选取截获接收机输出的MFSK信 号的时频脊线作为分类特征，利用无监督聚类算法求取最佳聚类数M．利用时频脊线的Ham：小波变换 估计码元宽度，并且利用对应最佳聚类数的聚类中心确定抽判门限，通过对时频脊线抽样判决，实现了 MFSK信号的解调．理论分析和对实际信号的处理结果证明了此算法的可行性．(new algorithm is proposed for elassillcation and demodulation of MFSK signals．The ridge of time— frequency representation of MFSK signals is analyzed．Modulation elassi_fieation is realized by using the unsupervised clustering algorithm to determine the optimal nulnllt2r of clusters．In order to demodulate MFSK signals，the Haar wavelet transform is used to estimate the code—width and the centers of optimal clusters are used to determine thresholds．Theoretical analysis and practical signal processing results justify the robusticity and the efficiency of the new classification and demodulation Mgorithm．)

实现PPG信号的特征提取，标记PPG信号的波峰和波谷值(Implementing feature extraction of PPG signal)

这是一个关于滤波器的仿真程序，非常好用，相信对大家会有一定的帮助(This is a simulation program on the filter is very easy to use, I believe this will definitely help all of us)

The Rosenbrock function is a non-convex function used as a performance test problem for optimization algorithms introduced by Rosenbrock (1960). It is also known as Rosenbrock s valley or Rosenbrock s banana function. The global minimum is inside a long, narrow, parabolic shaped flat valley. To find the valley is trivial. To converge to the global minimum, however, is difficult.