costas

The code summerize how to calculate the jitter (RMS) with the incoming signals, such as optical communications and clock and date recovery circuit

matlab code for secondary path identification

Reservoir Optimization with PSO

Matlab下的数字信号处理示例 Matlab下的数字信号处理示例 Matlab下的数字信号处理示例(Digital signal processing under Matlab example of digital signal processing under Matlab example of digital signal processing under Matlab example)

重复控制将“上一次的偏差”储存起来，用于下一次的控制，提高了系统的鲁棒性(Repetitive control of " the last of the deviation" store for the next control, to improve the robustness of the system)

Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value) of each column and row. Then get each row and column that has the maximum number of these black pixels. Then determine the center by simple calculation according to the image coordinate to set it correct on the image, consequently we can determine the radius of the pupil. Thus we can find the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms of circle and ellipse.

几种特殊函数(伽马，超几何，贝塞尔）的计算代码(Several special functions (gamma, hypergeometric, Bessel) calculation code)

应用matlab语言，应用lambert变轨实现地球到火星的发射窗口的轨道寻优。内涵lambert变轨功能，星历计算等多个函数文件(Application of matlab language, application lambert achieve orbit the Earth to orbit Mars launch window optimization. Connotation lambert orbit function, ephemeris calculations and other functions file)

1. 对给定语料估计其基音周期。 要求用MATLAB语言实现有关基音检测算法，并给出检测结果。2. 实验语料：aoYiSheng.raw 发音：“茅以升”；时长0.9s；采样率：8kHz；量化精度为16bits/sample；数据格式 LSB,MSB分析帧长:20ms(160样点)总帧数：45(1. Corpus right to set its estimated Pitch. Asked to use MATLAB the pitch detection algorithm, and gives results. 2. Experimental corpus : aoYiSheng.raw pronunciation : "Mao Yisheng"; Time-0.9s; Sampling rate : gunfire; 16bits/sample accuracy of quantification; LSB data format, MSB analysis frame size : 20ms (160 samples) total frame count : 45)

为了对数据进行准确的预测，建立了双隐层BP神经网络，并提供了源数据，实现了准确的数据预测。程序能够执行，误差较小，输出接近真实值。(To accurately forecast the data, we build the two-hidden layer BP neural network and provide the original data, which will forecast the data. The program can be executed with small error which will be close to the real data.)