PID2

LMS最小均方误差算法matlab仿真程序(LMS least mean square algorithm matlab simulation program)

基于仿真模型的太阳能光伏电池阵列特性的分析.pdf(model pv battery)

可以实现粗糙集的整个算法，从上下近似、属性约简、属性重要度到决策规则的输出和规则的确定性因子，全部实现。内附测试数据，有详细的注解，可以实现与数据库的直接连接。(Rough set can be achieved throughout the algorithm, from top to bottom approximation, attribute reduction, attribute importance to the uncertainty factor output of decision rules and regulations, all to achieve. Enclosing the test data, detailed notes, can be achieved with a direct connection to the database.)

Check what we do if toLocaleString doesn t return a string when we are calling Array.prototype.toLocaleString.

迭代生成LDPC码矩阵，初始矩阵为三行三列各元素均为1的矩阵。根据其tranner图依次迭代产生新的矩阵。(structural properties: (1)Each line is composed of p points (2)There is one and only one line between any two points (3)Each point lies on b lines (4)Any pair of lines has at most one common point )

This function displays the frequency content of the range-cells.

SCEM-UA关于scemua的详细算法和新安江模型的结合，主要用于新安江模型参数的优化率定和不确定性分析(SCEM- UA about scemua detailed algorithm and the combination of the xin an river model, mainly used in xin an river optimization of model parameters calibration and uncertainty analysis)

说明：  采用小波对信号分解和去噪。分解层数和使用的小波可以自己定义然后阈值去噪(Wavelet is used to decompose and denoise signals. The decomposition level and the use of wavelet can be defined by itself and then threshold denoising)

1. 给一段原始的语音信号（可以是自己录制的一段语音），加上一频率为3.8kHz的高频余弦噪声和频率为3.6kHz的高频正弦噪声（幅度自己可以选择），用窗函数设计一滤波器（要求最小阻带衰减为50dB）对加噪后的语音信号进行滤波，画出滤波器的频率响应曲线，画出滤波前后的时域图和频谱图。 需要用到的函数： fir1 用窗函数设计FIR滤波器的函数 2. 用GUI设计一界面（如图1所示）完成如下功能： 1） 输入一语音信号，画出语音信号的时域图和频谱图； 2） 对语音信号加噪处理，画出加噪后的时域图和频谱图； 3） 给定滤波器的性能指标，采用几种不同的方法设计滤波器对加噪信后进行滤波，画出各滤波器的频率响应曲线，画出滤波后的时域图和频谱图。 (1. to some of the original speech signal (which can be a voice you record yourself), plus a cosine frequency of 3.8kHz frequency noise and frequency of 3.6kHz frequency sinusoidal noise (in the range that they can choose), with a window function to design a filter (requires a minimum stop band attenuation is 50dB) after adding noise to the speech signal is filtered, the filter frequency response curve to draw, draw diagrams and time-domain spectrum before and after filtering. Need to use the function: function fir1 with window function design FIR filter design 2. Using a GUI interface (Figure 1) complete the following functions: 1) an input speech signal, the speech signal in the time domain to draw graphs and spectrum 2) adding noise to the speech signal processing, draw diagrams and time-domain plus noise spectrum after 3) to set the filter performance, using several different methods designed to filter letter after adding noise filtering, draw the frequency response curve of each )

matlab在线听音乐程序源码 可供研究(listening music online by matlab)