Ge__sphere

doing的终极地狱完整版。可以说doing的这个版本在ES2架构中算首屈一指的，虽然他说自己的作品很粗糙，但在多年来的国内MUD界来说，其严谨细致的思路及程序写法是绝对可以值得借鉴学习。可惜doing曾经说过，不太有可能再写文字MUD，如果可能再写也不会做现有hell架构的MUD。但这个版本足以是我们受益非浅了。(doing the ultimate hell full version. You can say that doing this version ES2 architecture considered second to none, although he says his work is very rough, but in the domestic sector has a MUD, its strict and meticulous thinking and program wording is definitely worth learning to learn. Unfortunately, doing once said, is not possible to write a text MUD, if possible, do not write it hell existing architecture MUD. But this version is that we greatly benefit from a sufficient.)

图像转换成二进制序列、二进制序列还原成图像MatlaB自编源代码(Image is converted into binary sequences, binary sequence to restore self-compiled source code into an image MatlaB)

this matlab code about ofdm

integral and differensial in MATLAB

三元组表示的稀疏矩阵的加法,减法,乘法运算器-Triples express the sparse matrix of the adder, subtraction, multiplication device(ples express the sparse matrix of the adder, subtraction, multiplication devic)

利用最小二乘法进行拟合多元非线性方程，感应双馈发电机系统的仿真，基于多相结构的信道化接收机。( Multivariate least squares fitting method of nonlinear equations, Simulation of doubly fed induction generator system, Channelized receiver based on multi-phase structure.)

说明：  matlab用于电力系统的UPFC控制器仿真程序(matlab for power system simulation program UPFC controller)

《MATLAB程序设计教程》电子教案-2660

说明：  VQ声纹识别算法和实验. 摘要：采用线性预测倒谱系数(1inear prediction cepstrum coefficient，LPCC)作为语音的特征参数，矢量量化(vector quantity，VQ)方法进行模式匹配，探讨声纹识别以实现身份认证，并对此识别方法进行了相关的实验．通过验证，这种方法可以区分不同的说话人，并且在做说话人辨认实验时可达到较高的识别率．(VQ pattern recognition algorithms and experimental sound. Abstract: The linear prediction cepstral coefficients (1inear prediction cepstrum coefficient, LPCC) as the voice of the characteristic parameters, vector quantization (vector quantity, VQ) method of pattern matching, pattern recognition of sound in order to achieve authentication and identification methods relevant to this experiment. Validated, this method can distinguish between different speaker, and speaker identification experiments to do to reach a higher recognition rate.)

说明：  第2章 线性方程组求解 (jingtong matlab kexue jisuan )(Chapter 2 Solving linear equations (jingtong matlab kexue jisuan))