beiging

说明：  　本文对变步长自适应滤波算法进行了讨论,建立了步长因子μ与误差信号e(n) 之间另一种新的非线性函数关系. 该函数比已有的sigmoid 函数简单,且在误差e(n)接近零处具有缓慢变化的特性,克服了Sigmoid 函数在 自适应稳态阶段步长调整过程中的不足. 由此函数本文得出了另一种新的变步长自适应滤波算法,并且分析了参数α,β的取值原则及对算法收敛性能的影响. 该算法有较好的收敛性能且计算量少. 计算机仿真结果与理论分析相一致,证实了该算法的收敛性能优于已有的算法.(In this paper, variable step adaptive filter algorithm to discuss the establishment of a step factor μ and the error signal e (n) between another new nonlinear function. The function has a sigmoid function than the simple and the error e (n) close to zero Department has a slow change in the characteristics of a Sigmoid function to overcome the steady-state phase in the adaptive step length adjustment during the process. this function, this paper gives another new variable step size adaptive filtering algorithms, and analysis of the parameters α, β the value principles and the convergence performance. The algorithm has better convergence performance easy to calculate. Simulation results and theoretical analysis, confirmed the convergence of the algorithm better performance than existing algorithms.)

功能强大的ldpc_toolkit，是一个完整的实例(A complete LDPC_decode program )

利用matlab写成的窄带噪声发生，高斯白噪声的生成程序，构成不同频率的调制信号。( Using matlab written narrowband noise occurs, Gaussian white noise generator, Constituting the modulated signals of different frequencies.)

在5db信噪比下，比较广义互相关算法的加权函数BOTH,SCOT,PHAT的性能。(In 5db SNR, comparing the generalized cross-correlation algorithm weighting function BOTH, SCOT, PHAT performance.)

基于matlab软件的主动配电网运营源代码(Matlab software-based active source distribution grid operator)

Dasar-dasar matlab untuk pemula

空时编码的matlab仿真程序，其中包括almouti，空时分组码仿真，空时格行码的设计仿真，不同信噪比下的比较，码长天线数的比较(the simulations of space-time coding are include in this rar file, adhered with the almouti scheme, space-time block cade sheme and space-time trill code sheme. )

说明：  有关多用户预编码下的信道容量，预编码方案包括：ChannelInversion和RegularizedChannelInversion

ARMASA 1.7版，需要Matlab version (any OS): R11 or later，(ARMASA 1.7 version requires Matlab version (any OS): R11 or later,)

This is matlab code for simulation pdf of Nakagami