xihua

在一种变步长LMS 算法的基础上，引进动量因式，提出了一种新的改进LMS 的算法。新算法整体性能优 于变步长LMS 算法以及LMS 算法。通过理论分析，比较了新的算法和变步长LMS 算法以及LMS 算法的收敛性 和稳态性，提出了一种设想以提高新算法的稳态性。仿真试验证明了新算法的优越性以及设想的在仿真条件下的正 确性。(In a variable step size LMS algorithm, based on the introduction of momentum factor, a new improvement of LMS algorithms. The overall performance of the new algorithm is superior to variable step size LMS algorithm and LMS algorithm. Through theoretical analysis, comparing the new algorithm and variable step size LMS algorithm and LMS algorithm convergence and steady-state, and proposes a new algorithm is envisaged to enhance the steady-state nature. Simulation tests proved the superiority of the new algorithm, as well as envisaged under the conditions in the simulation is correct.)

说明：  蛤蟆夯仿真 建立simulink 模型 地面反馈模型(power hammer)

基于NLMS算法的回声消除，具有双端检测功能(Echo cancellation nlms Double-end detection)

小波阈值去噪，小波变换是一种信号的时间——尺度（时间——频率）分析方法，它具有多分辨分析的特点，而且在时频两域都具有表征信号局部特征的能力(Wavelet threshold denoising)

说明：  遗传算法是计算数学中用于解决最佳化的搜索算法，是进化算法的一种。进化算法最初是借鉴了进化生物学中的一些现象而发展起来的，这些现象包括遗传、突变、自然选择以及杂交等。遗传算法通常实现方式为一种计算机模拟。对于一个最优化问题，一定数量的候选解（称为个体）的抽象表示（称为染色体）的种群向更好的解进化。传统上，解用二进制表示（即0和1的串），但也可以用其他表示方法。进化从完全随机个体的种群开始，之后一代一代发生。在每一代中，整个种群的适应度被评价，从当前种群中随机地选择多个个体（基于它们的适应度），通过自然选择和突变产生新的生命种群，该种群在算法的下一次迭代中成为当前种群。(Genetic algorithm (GA) is a search algorithm used to solve optimization in computational mathematics. It is one of evolutionary algorithms. Evolutionary algorithms were originally developed by borrowing phenomena in evolutionary biology, such as heredity, mutation, natural selection and hybridization. Genetic algorithms are usually implemented as a computer simulation. For an optimization problem, an abstract representation of a certain number of candidate solutions (called individuals) (called chromosomes) evolves towards a better solution. Traditionally, solutions are represented in binary (that is, strings of zeros and ones), but other representations are possible. Evolution begins with a population of completely random individuals, and it happens from generation to generation.)

不错的matlab电子书，不错的matlab电子书，(Matlab good books, good books matlab,)

实用最优化方法各种算法的matlab编程和C++编程举例(Practical methods of optimization algorithms matlab programming and C++ programming example)

PID参数的整定就是合理的选择PID三参数。从系统的稳定性、响应速度，超调量和稳态精度等各方面考虑问题，三参数的作用如下：(PID parameter setting is the reasonable choice of three parameters of PID. From the system stability and response speed, overshoot and steady state accuracy and so on various aspects to consider problem, the role of the three parameters are as follows:)

A new technique of free-space simulation has been developed for solving unbounded electromagnetic problems with the finite-difference time-domain method.

ofdm in fading channel