资源列表
BP_分类
- 用BP神经网络做的分类的一个小例子，基于python写的(python BPNN classification)
33333333
- 数据分类，编程实现一个简单的聊天程序，实现两台计算机间的信息交互；(Data classification, programming to achieve a simple chat program to realize the information interaction between the two computers;)
BPSK_Costas
- 使用科斯塔环的方法实现基于BPSK调制的载波恢复跟踪(Using Costas loop method to recovery and track carrier frequency of BPSK modulation signal)
imt-wanke-client-master
- 本项目是对迅雷玩客云实现的第三方桌面客户端，目前可以查看多设备的矿机的运行情况、提币、查看云添加列表、打开种子进行云添加、币价监控提醒等， 支持设备离线、恢复在线时进行邮件、微信的推送提醒，支持每日9点推送汇报昨日收入，以后有空将逐步完善剩下的功能。(This project is for the thunder play off third party cloud desktop client, running status and current can view multiple devi
small_wave_analysis
- 利用小波变换对微弱信号进行分析，通过小波变换将微弱信号的小波形式展示出来，方便与时域信号结合来对微弱信号进行分析。(Wavelet transform is used to analyze weak signal, and wavelet transform is used to display the wavelet form of weak signal, which is convenient for analyzing weak signal combined with time dom
rectangle_wave_fourier
- 任意上下幅值方波的傅里叶展开与合成。可以任意设置方波上下幅值和谐波级次，观察保留不同谐波级次对合成方波的影响，以及吉布斯现象。(Fourier expansion and synthesis of arbitrary upper and lower amplitude square waves. The influence of different harmonic levels on the synthetic square wave and the Gibbs phenomenon can
limited_LMS
- 利用约束LMS方法对正弦信号进行滤波，分别绘制了输入和输出信号，结果显示约束LMS方法对噪声有一定的抑制作用。(The constrained LMS method is used to filter the sinusoidal signal, and the input and output signals are plotted respectively. The results show that the constrained LMS method has a certain inhi
20170630_AUT_026_TP_SplitLaneTraffic_L13_FINAL
- Here Maps Split Lane Monitoring Document
程序员健康指南
- 程序员因为需要高强度的工作，所以需要健康的身体(Programmers need a healthy body because they need high-intensity work)
kalman_filter_noise
- 利用kalman滤波方法对系统输出信号进行滤波，计算滤波后的误差大小，并将原始信号与滤波信号、观察误差与滤波误差进行了对比。(The Kalman filter is used to filter the output signal of the system and calculate the error size after filtering. The original signal is compared with the filtering signal, the observatio
MPC
- 无人驾驶汽车模型预测控制的算例代码，非常实用。(The code of the model predictive control of the unmanned vehicle)
filter_trendition
- 利用多项式拟合的方法消除交流信号中的趋势项，将原始信号和滤波信号时域图和频率图分别进行了对比，结果显示趋势项得到了很好的消除。(The polynomial fitting method is used to eliminate the trend items in the AC signals. The comparison between the original signal and the filtered signal time-domain and frequency charts