simple_cfd_codes_by_Manuel-Diaz

说明：  去噪中的同步，从同学那拷来的例程，应该不错啊(Denoising synchronized copy came from the students that routines should be good ah)

视频压缩感知系统的基追踪算法仿真，可以运行通(Video compress and sensing system that based on BP.)

用反步法设计状态反馈控制器，使系统的原点全局稳定。(Backstepping design with state feedback controller, global stability of the origin of the system.)

完整的OFDM系统仿真程序，包括调制解调假如循环前缀IFFT和FFT以及信道描述等(Complete OFDM system simulation program, including the modem if the cyclic prefix and FFT and IFFT channel description)

it is just modified EZw

该程序，可以用于计算金融证券期权产品的三项树定价估值过程。(This matlab code can be used to caculate the options price by estimate the trinomial processes.)

三相全波整流matlab simulink仿真模型(Three-phase full-wave rectifier matlab simulink simulation model)

简单的卡尔曼滤波算法，很适合新手学习，通俗易懂。(Simple Kalman filter algorithm, it is suitable for novices to learn, easy to understand.)

用正交调制方法实现模拟调制，包括AM,DSB,SSB,LSB,FM,AM-FM等，实现后，显示时域波形和功率谱密度(Orthogonal modulation method used for analog modulation, including AM, DSB, SSB, LSB, FM, AM-FM, etc., we can show the time-domain waveform and power spectral density)

传算法（Genetic Algorithm）是一类借鉴生物界的进化规律（适者生存，优胜劣汰遗传机制）演化而来的随机化搜索方法。它是由美国的J.Holland教授1975年首先提出，其主要特点是直接对结构对象进行操作，不存在求导和函数连续性的限定；具有内在的隐并行性和更好的全局寻优能力；采用概率化的寻优方法，能自动获取和指导优化的搜索空间，自适应地调整搜索方向，不需要确定的规则。遗传算法的这些性质，已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。它是现代有关智能计算中的关键技术(Propagation algorithm (Genetic Algorithm) is a law of evolution in biology class reference (survival of the fittest, survival of the fittest genetic mechanisms) randomized search method evolved. It was first proposed by the United States J.Holland professor in 1975, and its main feature is to operate directly on the structure of the object, the continuity of the derivative and the function limitation does not exist with global implicit parallelism inherent and better optimization capability the use of probabilistic optimization method that can automatically obtain and guidance to optimize the search space adaptively adjust the search direction, the rule does not require determined. The nature of the genetic algorithm, has been widely used in combinatorial optimization, machine learning, signal processing fields, such as adaptive control and artificial life. It is about smart modern computing key technologies)