EnMn

说明：  基于chebyshev的水声信号分析算法，包括多种分析结果(Chebyshev acoustic-based signal analysis algorithms, including a variety of analytical results)

文件中包含word文档报告 设雷达采用匹配滤波完成脉冲压缩，采集频率fs=420MHz，仿真雷达回波，并绘出家Hamming窗前后的脉压波形。（提示：通过正确设定采集波门，减少数据量） 设雷达采用Dechirp方式完成脉冲压缩，其中参考距离位于（0，0），采集频率为10MHz，距离采样点数512点，仿真雷达回波，并绘出加Hamming窗前后的脉压波形（提示：通过正确设定采集波门，减少数据量）。(Word document file contains the report of the completion of matched filter-based radar uses pulse compression, gathering frequency fs = 420MHz, simulation of radar echo, and draw the house after the pulse pressure waveform Hamming window. (Hint: By setting the correct collection wave door, reducing the amount of data), based radar uses pulse compression Dechirp manner, in which reference distance at (0,0), collection frequency of 10MHz, from the sampling points 512 points, simulation, radar echo, and draw the increase of pulse pressure waveform after the Hamming window (hint: set up collection waves through the correct door, reducing the amount of data).)

在matlab环境下利用LSB最低有效位算法将一个图片水印隐藏在载体图片中，并对被隐藏那个信息进行提取。(Matlab environment in the use of least significant bit LSB algorithm will be a picture watermark hidden in the picture carrier, and that information has been extracted hidden.)

说明：  神经网络处理图像的相关样本训练方法使用时可以更快的找到训练样本特征(Associated image processing neural network training method uses the sample can be found faster training sample characteristics)

用MATLAB对瑞利衰落信道进行仿真，并有结果图及分析。(Rayleigh fading channel using MATLAB simulation, and the results of maps and analysis.)

Economic load dispatch problem is allocating loads to plants for minimum cost while meeting the constraints. It is formulated as an optimization problem of minimizing the total fuel cost of all committed plant while meeting the demand and losses .The variants of the problems are numerous which model the objective and the constraints in different ways. The basic economic dispatch problem can described mathematically as a minimization of problem of minimizing the total fuel cost of all committed plants subject to the constraints

大学数学实验实验三中的编程练习题目源代码(University Mathematics Experiment Experiment 3 programming source code practice questions)

This file is for PCA COV

This chapter treats the design of linear-phase FIR filters. The assignments are divided in two parts, the first part focuses on the design of FIR filters using the window design method while the second part focuses on design of equiripple FIR filters using the Parks-McClellan algorithm, i.e. the remez algorithm in Matlab.

在主程序中实现输入输出，分别输入一个整数a和一个实数b作为底数，再输入一个整数m作为指数，输出am和bm。(Realized in the main input and output, respectively, enter an integer a and b as the base of a real number, then enter an integer m as an index, output am and bm. .)