matlab_book

哈夫曼编码解码器，在matlab环境下实现的编码解码，希望对大家有用(Huffman codec in matlab environment to achieve the encoding and decoding, we hope to be useful)

针对混沌参数调制( C P M) 的电力线通信( P L C) 中谐波引起的窄带干扰， 两阶段动态估计方法根据最小 相空间体积( MP S V) 准则估计模型参数， 计算量大。为此， 提出将未知参数合并到增广状态矩阵的联合卡尔曼滤 波方法， 避免了专门的参数估计过程， 在提高增益性能的同时有效降低了计算量。方法的性能通过对混沌电力 线通信下的单音干扰和多音干扰的有效抑制得到了验证。 (For the chaotic parameter modulation (CPM) of the power line communication (PLC) in the narrow-band interference caused by harmonics, two-phase dynamic estimation methods with minimum phase space volume (MP SV) criterion estimate model parameters, calculation of volume. Toward this end, the unknown parameters into augmented state matrix of the joint Kalman filter, to avoid the special parameter estimation process, while improving the performance gain reduces the amount of calculation. Method of performance under the power line communication by chaotic multitone jamming tone interference and the effective suppression has been verified.)

基于模型的反演，首先先验信息建立初始模型，然后采用模型优选迭代扰动算法，通过不断修改更新地质模型，使模型正演合成地震记录与实际地震数据最佳吻合，最后的模型数据便是反演结果(Broadband Constrained Inversion)

概率神经网络的matlab源代码，可用于实现概率神经网络识别和判别数据类别。(Probabilistic neural network matlab source code, can be used to achieve probabilistic neural network identification and classification of data categories.)

说明：  FAST ICA算法，用于多个信号盲分离，可以参考一下，挺不错的(Fast ICA algorithm, used for blind separation of multiple signals, can refer to, very good)

DEBLOCKING ieee PAPERS

说明：  光伏发电电池的simulink模型，可以通过该模型仿真出，电池的特性pv特性，vi特性等(Photovoltaic cells simulink model, the model can simulate a battery of features characteristic pv, vi characteristics)

仿照着《小波去噪中软硬阈值的一种改良折衷法》一文写的程序，对比了软、硬以及软硬阈值折衷法的信噪比及均方根误差。仿真出来之后，原信号的信噪比是负的，不知道为什么？均方根误差的值也比较大，不知何解？信噪比和均方根误差是参照《基于matlab的小波去噪仿真》：吴伟，《信息与电子工程》 一文写的(Modeled on the written procedures of the hard and soft threshold wavelet de-noising an improved compromise " , compared to the soft and hard compromise between the hard and soft threshold signal-to-noise ratio and root mean square error. Out of the simulation, the signal-to-noise ratio of the original signal is negative, do not know why? The value of the root mean square error is relatively large, do not know why? Signal-to-noise ratio and root mean square error with reference to the wavelet denoising matlab-based simulation: Wu Wei, " Information and Electronic Engineering" written)

求两个整数的最大公因子，求这两个整数的最小公倍数(maximum common factor and lease common multiple)

stbc alamouti code with all modulation scheme