Aufgabe-5

mfcc用matlab编程实现，12阶参数(mfcc, used in matlab)

说明：  张量代数，张量分析以及张量应用的简单介绍(tensor )

递归式最小均方（RLS）算法的基本思想是力图使在每个时刻对所有已输入信号而言重估的平方误差的加权和最小，这使得RLS算法对非平稳信号的适应性要好。与LMS算法相比，RLS算法采用时间平均，因此，所得出的最优滤波器依赖于用于计算平均值的样本数，而LMS（NLMS）算法是基于集平均而设计的，因此稳定环境下LMS（NLMS）算法在不同计算条件下的结果是一致的(Recursive least-mean-square (RLS) algorithm for the basic idea is to try to make in every moment of all the input signal in terms of re-evaluation of the weighted squared error and the smallest, which allows non-stationary RLS algorithm for adaptive signal better. Compared with the LMS algorithm, RLS algorithm uses the average time, therefore, the resulting optimal filter depends on the used to calculate the average number of samples, and the LMS (NLMS) algorithm is designed based on set average, and therefore a stable environment LMS (NLMS) algorithm in different conditions, the results of the calculation is consistent)

动态矩阵预测控制m语言程序，使用平台matlab。DMC算法 加热炉(dynamic matrix predictive control language program, use the platform matlab。DMC algorithm furnace)

matlab source code for adaptive threshold

Program for ofdm and its BER performance

灰度变换增强程序 1.灰度变换增强程序 2.直方图灰度变换 3.直方图均衡化程序举例 4.直方图规定化程序举例 1.线性平滑滤波 2.中值滤波器 3. 4邻域8邻域平均滤波算法 1.低通滤波器 2.布特沃斯低通滤波器图像实例(Enhanced gray-scale transformation procedure 1. Enhanced gray-scale transformation procedure 2. Histogram gray-scale transformation 3. Histogram equalization procedure for example 4. Histogram specification procedure for example 1. Linear smoothing 2. Median filter 3.4 8 neighborhood neighborhood average filter algorithm 1. low-pass filter 2. Butewosi Image examples of low-pass filter)

对一维信号序列进行，短时能量法和功率谱分析，并显示波形(right one-dimensional signal sequence, and short-term energy and power spectral analysis, and display waveforms)

遗传算法是模拟达尔文的遗传选择和自然淘汰的生物进化过程的计算模型。它的思想源于生物遗传学和适者生存的自然规律，是具有“生存＋检测”的迭代过程的搜索算法。遗传算法以一种群体中的所有个体为对象，并利用随机化技术指导对一个被编码的参数空间进行高效搜索。(Genetic algorithm is simulated Darwinian natural selection of genetic selection and evolution process model. It' s thought from biological genetics and survival of the fittest laws of nature, is a " survival+ detection" iterative process of search algorithm. Genetic algorithms in a group all the individuals targeted, and technical guidance on the use of a randomized coded efficiently search parameter space.)

对于Matlab中simulink模块仿真进行了详尽的说明 主要用途集中在控制系统仿真上(This is a introduction of simulation of dynamic system based on the simulink module. This article focus on the control system.)