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格式：[huffcodes，氢，領 ，电子] = huffmancoding（磷，氮） ％输入：p是每个字母符号的概率 （如：对= [0.3 0.2 0.2 0.2 .06 .04]） n是一个整数，决定在每个帧的符号数量 （默认：n = 1时） ％输出：huffcodes：huffmancodes 答：源熵 甲肝：平均熵编码 电子邮件：科丁效率(format : [huffcodes,H,Hav,e]=huffmancoding(p,n) inputs: p is the probability of each alphabet symbol ( eg:p=[.3 .2 .2 .2 .06 .04] ) n is an integer that determines number of symbols at each frame (default:n=1) outputs: huffcodes: huffmancodes H: source entropy Hav: average entropy for coding e: codding efficiency )

对信噪比估计的研究基础上完成SNR计算方法MATLAB实现(Realization of SNR calculation method based on the research of SNR estimation by MATLAB)

完整的用sobel算子进行边缘检测的例子(Complete with a sobel edge detection operator is an example)

地震数据时频分析与分频处理，需要的带走吧，很不错的(Time-frequency analysis and seismic data processing division, need take it away, it is good)

k-means clustering, a very fundamental but also important approach for clustering

说明：  此模型中的撬棍不是使用IGBT或理想开关制造的。 通过 改变转子侧变流器的参考电压来模拟撬棍电路的切入和切出 。 该模型是使用MATLAB R2010a创建的。 控制策略是最常见的去耦 算法和MPPT(The crowbar in this model is not manufactured using IGBTs or ideal switches. by The reference voltage of the rotor-side converter is changed to simulate the cut-in and cut-out of the crowbar circuit. The model was created using MATLAB R2010a. Control strategy is the most common decoupling Algorithm and MPPT)

利用Kaveh法估计ARMA过程功率谱，只需计算AR系数，简化过程。(Kaveh estimation using ARMA process of the power spectrum, simply calculating AR coefficients, to simplify the process.)

io重叠中的完成实例模型，典型代码，ioCallBack源码(io complete overlap in the model example of a typical code, ioCallBack source)

说明：  matlab写的数字信号处理源代码,里面包括最基本的fft计算，以及小波分析。完整的源代码。(Matlab write digital signal processing source code, including inside the most basic fft, and wavelet analysis. Complete source code.)

研究分析ECG数据的一本书，找了很久才找到的.(This book is intended for graduate students collecting and/or analyzing electrocardiogram (ECG) data, industrial researchers looking to develop, test, and apply new ECG analysis tools (both hardware and software), or simply students or teachers looking for signal processing examples involving an intuitive yet complex signal.)