perception

L型阵下基于2D-MUSIC的二维DOA估计算法(Under the L-type array estimation algorithm based on 2D-MUSIC-dimensional DOA)

是IEEE30节点的电力系统潮流计算程序，附有详细说明，经过验证，程序结构简单易懂。(it is IEEE30 node flow calculation.It incliudes explation.And it has pass the test.It is very easy to understand.)

三维数字滤波器中的butterworth理想低通滤波器的matlab仿真及其结果(3 d digital filter butterworth ideal the low-pass filter of matlab simulation and the result )

"Guess The Number" Gae For Beginers.

编码是在MATLAB下编写的，可以在MATLAB上直接运行，我没有在分类中找到MATLAB，所以选择了c++，希望管理员能分下类。这款编码是计算水准测量中计算条件平差的。(The code is written in MATLAB, you can run directly in MATLAB, MATLAB, I did not find in the classification so chose c++, I hope that the administrators in the next class. This code is calculated in the calculation leveling adjustment of condition equations.)

在MATLAB环境下四个实验,压缩解压以便日后使用(change picture)

matlba的英文讲义，对初学者有很大帮助(It has a lot of benefits for learners)

1. To design FIR filters in MATLAB to achieve various types of frequency selectivity, e.g., lowpass, highpass，bandpass, etc 2. To verify the frequency response of the designed filters in MATLAB 3. To implement the designed FIR filters using C6713 DSK and 4. To perform real-time testing of the performance of the designed FIR filters.

本文基于大型通用有限元软件ANSYS和MATLAB,探索三维实体模型下进行PC桥梁结构整体仿真分析的途径,研究其关键理论及专业模块开发技术。重点研究了预应力筋的模拟、预应力效应的等效转换和桥梁截面切片技术。研究成果可广泛应用于PC桥梁的三维仿真领域,具有较大的理论意义和工程实用价值。对写这方面研究很有帮助(Based on large-scale general-purpose finite element software ANSYS and MATLAB, explore the three-dimensional solid model of the bridge structure under the PC way to the overall simulation analysis to study the key theoretical and professional development of technology modules. Focused on the tendons of the simulation, the equivalent effect of prestressed bridge conversion and cross-section slicing. Research results can be widely used in PC bridges the field of three-dimensional simulation with the larger theoretical and practical engineering value. Research in this area to write very helpful)

PCA(主成分分析法)、LDA(线性判别法)两种方法是主要的的线性降维法，有非常好的效果，希望对大家能够有用！ 已通过测试。 (PCA (Principal Component Analysis), LDA (linear discriminant method) two methods are the main linear dimensionality reduction method, with very good results, we hope to be useful! Has been tested.)