DOA SRACV

说明：  SD卡的SPI方式驱动，SPI方式简单速度也可以，很多处理器都有SPI功能，没有也可模拟。(SD card SPI mode driver, SPI is simple speed can, many processors have the SPI function, does not and can simulate.)

模数转换器(ADC)将模拟量——现实世界中绝大部分现象的特征——转换为数字语言，以 便用于信息处理、计算、数据传输和控制系统。数模转换器(DAC)则用于将发送或存储的 数据，或者数字处理的结果，再转换为现实世界的变量，以便控制、显示信息或进一步进 行模拟处理。(Analog-to-digital converter (ADC) analog- the vast majority of real-world phenomena characteristic- converted into digital language, in order for the information processing, computing, data transmission and control system. A digital-to-analog converter (DAC) is used to transmit or store the data, or the result of the digital processing and then converted to the real world variables, in order to control, displays a message or further subjected to analog processing.)

CIC补偿滤波器的源代码，有帮助的，好用。没有问题(CIC com filter)

说明：  Robot Distance Meter (Motor DC) / c / protues

关于chirp信号的频率估计和定时估计的论文，对研究chirp信号有一定的帮助(About the frequency of the chirp signal estimation and timing estimation of thesis, has the certain help to the study of chirp signal)

基于系统级仿真的LTE_A协作多点传输技术研究(Based on system-level simulation LTE_A multicast technology research collaboration)

基于LMI 的输出反馈H无穷控制及其仿真，包含论文和仿真代码。(LMI-based output feedback H infinity control and simulation, including papers and simulation code.)

说明：  求解二维波动方程，包括论文，公式依据和程序源代码(Solving two-dimensional wave equation, including papers, formulas and procedures based on source code)

基于PSO的BP训练算法论文：在BP训练算法中，关于变权值、学习速率、步长的问题已被广泛地研究，几种基于启发式改进的技术也表明具有改善训练时间以及避免陷入局部最小的明显效果。这里BP训练过程由基于PSO同时优化log—Sigmoid函数与网络权值的新算 法(PSO。GainBP)实现。实验结果表明，PSO—GainBP比传统基于PSO的BP算法在网络训练方面具有更好的性能。(PSO based on the BP training algorithm Papers: In the BP training algorithm, on the right to change the value of learning rate, step length of the question has been widely studied, several heuristics based on improved technology also shows that to improve the training time and avoid falling into local the smallest tangible results. Here BP training process at the same time by the PSO-based optimization of log-Sigmoid function and the network weights of the new algorithm (PSO. GainBP) to achieve. The experimental results show that, PSO-GainBP than the traditional PSO based on the BP algorithm in network training has a better performance.)

very good programs,I hope all members can have a look and learn somthing from it !