BP-neural-network

Matlab I beam. used for derive the second moment of area(Matlab I beam)

基于有限序列的复杂性,说明有限序列的复杂性与哪些参数有关(on the complexity of finite sequences)

大规模多输入多输出非平稳的无线信道冲激响应(Large-scale multi-input multi-output non-stationary wireless channel impulse response)

自己编写的一个单载波时域均衡的程序，采用的是线性MMSE均衡算法(When I have written a single carrier domain equalization program, using the linear MMSE equalization algorithm)

These are the QR/RQ factorization techniques required for the Zero forcing detection technique for MIMO.

说明：  内涵大量基于MATLAB的仿真算法，大量.m文件和c文件(substantial content based on MATLAB simulation algorithm, a lot. M c paper documents and)

kohonen网络的聚类算法,网络入侵聚类,matlab的经典算法( kohonen网络的聚类算法,网络入侵聚类,matlab的经典算法 Clustering algorithm of Kohonen network, the network intrusion clustering, matlab algorithm )

 产生长度为1000的标准正太分布的随机信号，画出时域波形及频谱；  采用u=255的非均匀PCM编码，每符号为8bit，画输入-输出关系图；  计算信号量化噪声比（SQNR）；  信道误码率为10-3；  解码，并画出u律反变换后的信号时域波形及频谱。 扩展要求：  采用均匀PCM、量化级数可变、信道误码率可变。 ( have a standard length of 1000 is too random signal distribution, draw time-domain waveform and frequency spectrum  u = 255 using the non-uniform PCM encoding, each symbol for 8bit, drawing input- output relationship diagram  calculated quantization noise signal than (SQNR)  channel bit error rate of 10-3  decoder, and law to draw u the signal after the inverse transform time-domain waveform and frequency spectrum. Expansion of the requirements:  uniform PCM, quantization level variable, a variable channel bit error rate.)

Laminate analysis of composite plates using Matlab. Based on classical laminated plate theory.

roots -Polynomial roots Syntax r = roots(c) Description r = roots(c) returns a column vector whose elements are the roots of the polynomial c. Row vector c contains the coefficients of a polynomial, ordered in descending powers. If c has n+1 components, the polynomial it represents is . Tips Note the relationship of this function to p = poly(r), which returns a row vector whose elements are the coefficients of the polynomial. For vectors,roots and poly are inverse functions of each other, up to ordering, scaling, and roundoff error.