just-for-fun_en

本书不仅回顾了通信信号处理的经典研究领域，如自适应均衡、信道建模和识别、多用户检测和阵列处理，而且分析研究了一些新领域，如自适应编码调制、多输入多输出（MIMO）系统、分集合并和时频分析。此外，本书还探讨了神经网络、蒙特卡洛马尔可夫链和混沌等新兴技术，并对未来移动通信具有发展前途的方法进行了很好的概括性阐述。(The book investigates classical SP areas such as adaptive equalization, channel modeling and identification, multi-user detection, and array processing. It also investigates newer areas such as adaptive coded modulation, multiple-input multiple-output (MIMO) systems, diversity combining, and time-frequency analysis. It explores emerging techniques such as neural networks, Monte Carlo Markov Chain (MCMC) methods, and Chaos. It offers an excellent tutorial survey of promising approaches for future mobile communications such as cross-layer design in multi-access networks and adaptive wireless networks.)

计算一个整数的和的积德最大值，即最优整数的接的最大值(The Jide calculate an integer, and the maximum value, i.e. the optimal integer then the maximum)

vc编写的excel读写程序，集成了api接口，并附带源码，很好的学习工具(VC prepared by the excel read and write procedures, integrated API interface, and comes with source code, a good learning tool)

在flac3d 6.0上实现三轴试验的模拟(The simulation of triaxial test is realized based on flac3d 6.0)

Solving NP-hard discrete optimization problems to optimality is often an immense job requiring very ecient algorithms, and the B&B paradigm is one of the main tools in construction of these. A B&B algorithm searches the complete space of solutions for a given problem for the best solution. However, explicit enumeration is normally impossible due to the exponentially increasing number of potential solutions. The use of bounds for the function to be optimized combined with the value of the current best solution enables the algorithm to search parts of the solution space only implicitly.

用verilog实现ldpc最小和译码算法(This code is for the decode of MS-algorithm based on LDPC.)

数字秒表具有正及时倒计时功能包括一些设计要求和原资料-timer

说明：  用于训练压电陶瓷驱动器的输出信号，压电陶瓷驱动器的出输出存在迟滞现象，用BP神经网络训练其输入输出数据，可以预测驱动器接下来的输出数值。(Output signal for training piezoelectric actuator.The output of piezoelectric ceramic actuator is sluggish. The input and output data of piezoelectric ceramic actuator can be predicted by BP neural network training.)

说明：  ats282x bluetooth dual mode

粒子群优化(Particle Swarm Optimization - PSO) 算法是一种新兴的有潜力的进化算法( Evolutionary Algorithm - EA) .PSO 算法,和遗传算法相似,它也是从随机解出发,通过迭代寻找最优解,它也是通过适应度来评价解的品质. 但是它比遗传算法规则更为简单,它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作. 它通过追随当前搜索到的最优值来寻找全局最优。-pso