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盲均衡算法2，采用的自适应算法为横模算法(Blind equalization algorithm 2, using the adaptive algorithm for the transverse modulus algorithm)

一个简单的对用户定义的字符串创建和可视化哈夫曼编码树的程序(A simple user-defined string to create and visualization procedures Huffman tree)

说明：  一本Matlab入门书籍，有Matlab基础或者无基础均可使用(This book is a short, focused introduction to MATLAB, a comprehen- sive software system for mathematics and technical computing. It will be useful to bothbeginning and experienced users.)

产生带限白噪声，在matlab平台上实现(Band-limited white noise generated in matlab platform)

说明：  遗传算法的小程序，希望能够对大家有用处！(genetic algorithm for small procedures, we hope to be able to be useful!)

The Haar transform can be expressed in the matrix form as T = HIHT (inverse transform HTTH) where I is an NxN image matrix, H is an NxN transformation matrix and T is the resulting NxN transform. For Haar transform, the transformation matrix H contains the Haar basis functions hk(x). They are defined on a continuous, closed interval, x -[0, 1] for k = 0,1,2 ...,N -1 where N = 2n.( The Haar transform can be expressed in the matrix form as T = HIHT (inverse transform HTTH) where I is an NxN image matrix, H is an NxN transformation matrix and T is the resulting NxN transform. For Haar transform, the transformation matrix H contains the Haar basis functions hk(x). They are defined on a continuous, closed interval, x-[0, 1] for k = 0,1,2 ...,N-1 where N = 2n.)

用MATLAB编写的语音信号的短时分析，主要包括：分帧、短时能量、短时平均幅度、短时过零率、 wPqmRn函数、短时幅度差、倒谱、复倒谱 bAflVNH系数计等，是我多年调试通过的程序 (MATLAB prepared with short-term analysis of the speech signal, including: framing, short-time energy, short-term average amplitude, short-term zero rate,wPqmRn function, short-term amplitude difference, cepstrum, cepstral bAflVNH coefficient meter, etc. , is a program debugging through my years of )

MATHWORKS提供MATLAB和C混合编程用户手册(MATLAB and C mixed programming user manual)

Fixed-Point iteration(Function fixed_point(p0, N) approximates the solution of an equation f(x) = 0, rewritten in the form x = g(x), which is a sub-function the user has to enter. the call to the function fixed_point(p0, N) returns the root of the equation f(x),i.e. the fixed-point of g(x), if the procedure is successful or a sequence of iterates in case something goes wrong. p0 is the initial approximation and N the maximum number of iterations. If, after N iterations, condition |x(k)- x(k-1)| < tol is not satisfied, all iterated values will be displayed, accompanied by a message asking the user to either change p0 in case of divergence or enter another g(x) that does not lead to complex numbers arithmetics. Reasons for the program to go wrong are the divergence of iterates and/or appearance of complex numbers for example with functions involving sqrt(x) when one of the iterates is negative. )

Comme les autres régimes d’états liés présentés précédemment, l’état de quatre impulsions est très sensible à l’énergie de saturation et au gain petit signal. Quand l’énergie de saturation (respectivement le gain petit signal) varie dans la gamme de quelques pJ