现代电力系统分析例2-1

python编程，高质量代码，高手必备python书籍,《编写高质量代码：改善Python程序的91个建议》迷你书(python programming, high quality scripts in python)

说明：  it is described the management processes, roles, behavior and skills

说明：  较为简单的模糊神经控制，注解详细，能运行，不需要过多的调试(Simple fuzzy neural control with detailed notes)

一个非常流行的游戏，用C++开发的，适用于初学者学习与研究。-a very popular game, with C development and applicable to beginners learning and research.

学习MIMO的入门课件！能够很快的了解MIMO的原理！写的很详细！(MIMO-entry learning courseware! Be able to quickly understand the principle of MIMO! Written in great detail!)

说明：  包含内容：离散时间系统与Z变换、离散傅里叶变换及其快速算法、无限长单位脉冲响应(IIR)滤波器的设计、有限长单位脉冲响应(FIR)滤波器的设计、数字信号处理系统的实现、多采样率信号处理(singal processing and demo program)

本文对16QAM解调软信息输出(LLR)理论计算方法进行分析，推导 出其简化解调算法。将两者在性能和计算复杂度方面进行了分析比较，并分别在 高斯白噪声信道和瑞利衰落信道环境下进行仿真(In this paper, 16QAM demodulator soft information output (LLR) theoretical calculation method for the analysis derived simplified demodulation algorithm. Both in performance and computational complexity aspects are analyzed and compared, and in white Gaussian noise channel and Rayleigh fading channel simulation environment)

说明：  # Monocular-Visual-Odometry MATLAB代码为单目视觉测程与KITTI数据集。 该方法的目的是利用连续图像之间丰富的信息关系，并利用最小的硬件，即单目视觉传感器来弥补错误的测距传感器。在这个项目中，我们实现了每个图像的特征检测、特征提取和特征匹配方法。还实现了单目视觉测程的流水线，并在KITTI数据集上测试了我们的实现。(# Monocular-Visual-Odometry MATLAB code for Monocular Visual Odometry with KITTI dataset. The goal of this approach is to complement the erroneous odometry sensors using the rich information in relations between consecutive images and with the use of minimum hardware, i.e. a monocular vision sensor. In this project we implemented feature detection, feature extraction, and feature matching methods used for each images. Also implemented the pipeline of monocular visual odometry and test our implementation on the KITTI dataset.)

说明：  小波神经网络交通流量预测，采用BP算法优化参数(Traffic Flow Prediction Based on Wavelet Neural Network)

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