eg24-shuizhipingjia

不同方法对混合语音信号进行盲分离，比较经典的源代码...(the blind separation of mixed speech signals using a slightly different method)

数据链路层滑动窗口协议的设计与实现源码 信道模型为8000bps 全双工卫星信道，信道传播时延270 毫秒，信道误码率为10-5，信道提供字节流传输服务，网络层分组长度在240~256字节范围。(Sliding window data link layer protocol design and implementation of source-channel model 8000bps full-duplex satellite channel, the channel propagation delay 270 ms, the channel bit error rate of 10-5, the channel provides a byte stream transfer service, network layer packet length in the range of 240 to 256 bytes.)

说明：  LMD，局部均值分解算法，主要用于对振动信号进行分析，不需要设置分解参数(LMD, a local mean decomposition algorithm, is mainly used to analyze vibration signals without setting decomposition parameters.)

MATLAB常用的基本数学函数 个人总结 对于数学建模的人员来说就是一本宝藏。 (MATLAB basic mathematical functions commonly used for mathematical modeling personal summary of the officers is a treasure.)

Numerical solutions for ODEs

说明：  卡尔曼滤波matlab程序，希望一起交流(Kalman filtering matlab procedures, hope that with the exchange of)

通过不同载荷分析船舶运动方程的不同情况，包含较多的水动力导数，同时考虑了波浪谱密度函数的影响，采用了最新的od45方程求解6自由度船舶运动方程(The ship motion equation is analyzed under different loads, including more hydrodynamic derivatives, and considering the influence of wave spectral density function, the latest od45 equation is used to solve the 6-DOF ship motion equation.)

A mathmatical model of biology(A mathmatical model for ATM response)

n point fft program which computes the dft of a function using cooley tukey techniques

说明：  数字图像修复算法的评价标准也是从两个方面进行评价的，一个是修 复算法的效率，一个是修复后图像质量。修复算法的效率主要就是看修复 图像所用的时间，可以用时间就行量化。而图像质量很难从量上唯一的进 行评价，目前图像修复质量还没有统一的评价标准，从实际应用出发，修 复后图像质量的好坏大多数是从以下两个方面就行评价，修复后图像给人 主观上的“满意度”和客观上图像的cnr、enl、epi、psnr、snr来评判。(The evaluation criteria of digital image restoration algorithms are also evaluated from two aspects, one is repair. One of the efficiency of complex algorithm is the image quality after restoration. The efficiency of the repair algorithm depends mainly on the repair. The time spent on the image can be quantified in terms of time. But image quality is difficult to improve quantitatively only. At present, there is no uniform evaluation criterion for image restoration quality. Starting from practical application, repair The quality of restored images is mostly evaluated from the following two aspects, and the restored images are given to people. Subjective "satisfaction" and objective image cnr, enl, epi, psnr, SNR to judge.)