Bartlett

现代通信系统matlab第五章基带数字传输源代码(Modern communications systems Chapter matlab source code baseband digital transmission)

CAPON谱估计方法的matlab源代码，已经通过验证了(CAPON spectral estimation methods matlab source code has been validated by)

blackman_harris窗函数用于加窗的DFT(blackman_harris window function for windowed DFT)

使用自组织竞争神经网络将给定坐标的垃圾中转站按地理位置分类。(Use the self-organizing competitive neural network given the coordinates of garbage transfer stations classified by geographical location.)

matlab小波变换源代码，供广大研究者学习(matlab wavelet transform source code, for the majority of researchers to learn)

基于matlab的ldpc码译码算法的仿真比较，包括BF、WBF，IWBF，IRRWBF四类算法的性能分析。(matlab based ldpc decode algorithm，comparing the performances of BF、WBF，IWBF，IRRWBF algorithm.)

遗传算法是模拟达尔文的遗传选择和自然淘汰的生物进化过程的计算模型。它的思想源于生物遗传学和适者生存的自然规律，是具有“生存＋检测”的迭代过程的搜索算法。遗传算法以一种群体中的所有个体为对象，并利用随机化技术指导对一个被编码的参数空间进行高效搜索。(Genetic algorithm is simulated Darwinian natural selection of genetic selection and evolution process model. It' s thought from biological genetics and survival of the fittest laws of nature, is a " survival+ detection" iterative process of search algorithm. Genetic algorithms in a group all the individuals targeted, and technical guidance on the use of a randomized coded efficiently search parameter space.)

双音多频 DTMF（ Dual Tone Multi-Frequency ）信号，是用两个特定的单音频率信号的组合来代表数字或功能(DTMF DTMF (Dual Tone Multi-Frequency) signals, use of two specific combinations of tone frequency signals to represent the number or function)

修改过的ChnCalendars日历控件，修复了一些bug，增加日期标记颜色。(The modified ChnCalendars calendar control, fix some bug, increase the date marking color.)

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)