levinson

这是偶自己的作品拉，基于matlab环境，作的图象压缩实验，分别ＤＷＴ与ＳＷＴ作对比参照实验(This is the duality gap own work, based on the matlab environment, for the image compression experiments, DWT and SWT, respectively, compared with reference to experimental)

基于MATLAB的数值分析例程，其中给出各种常用数值方法的MATLAT例程，希望对各位有用(MATLAB-based numerical analysis routines, which gives a variety of commonly used numerical methods MATLAT routine, you want to be useful)

东南大学 电子学院 信号与系统实验 matlab 代码(Southeast University, Electronic Science and Engineering, signal and system, matlab)

转速环的MATLAB仿真，感觉效果 挺不错的。(MATLAB simulation speed ring, I feel very good results.)

这是一个讲解OFDM原理及实现的文档，文档最后附上了matlab的OFDM实现(This is an OFDM explain the principle and implementation of the document, the document was last attached matlab implementation of the OFDM)

matlab一些典型例程，供初学者使用，互相学习啊，(matlab some typical routines, for beginners to use and learn from each other, ah,)

使用MySin函数生成一个幅值为3、频率为10Hz的正弦信号x(t)，其中dt分别为0.1s、0.08、0.05s、0.005s。绘出四个正弦信号波形及其单边幅值谱(Use MySin amplitude function generates a 3, a frequency of 10Hz sinusoidal signal x (t), where dt respectively 0.1s, 0.08,0.05s, 0.005s. Sinusoidal waveform and draw four-sided amplitude spectrum)

旋转机械二维全息谱计算，esprit算法对有干扰的信号频率进行估计,BP神经网络用于函数拟合与模式识别。( Rotating machinery 2-d holographic spectrum calculation, esprit algorithm signal frequency interference can be assessed BP neural network function fitting and pattern recognition.)

rake接收机性能的深入分析研究，主要是在CDMA中的应用(in-depth analysis of the rake receiver performance research, mainly in the CDMA Application)

人工鱼群算法，在一片水域中,鱼往往能自行或尾随其他鱼找到营养物质多的地方,因而鱼生存数目最多的地方一般就是本水域中营养物质最多的地方，人工鱼群算法就是根据这一特点,通过构造人工鱼来模仿鱼群的觅食!聚群及追尾行为,从而实现寻优，以下是鱼的几种典型行为:(1)觅食行为:一般情况下鱼在水中随机地自由游动,当发现食物时,则会向食物逐渐增多的方向快速游去。(2)聚群行为:鱼在游动过程中为了保证自身的生存和躲避危害会自然地聚集成群，鱼聚群时所遵守的规则有三条:分隔规则:尽量避免与临近伙伴过于拥挤 对准规则:尽量与临近伙伴的平均方向一致 内聚规则:尽量朝临近伙伴的中心移动。(3)追尾行为:当鱼群中的一条或几条鱼发现食物时,其临近的伙伴会尾随其快速到达食物点。特点：1)具有较快的收敛速度,可以用于解决有实时性要求的问题 2)对于一些精度要求不高的场合,可以用它快速的得到一个可行解 3)不需要问题的严格机理模型,甚至不需要问题的精确描述,这使得它的应用范围得以延伸.停止条件1) 判断连续多次所得的均方差小于语允许的误差2）判断某个区域的人工鱼群的数目达到某个比率3）联系多次所获取的值均不能超过已寻找的极值。 (Artificial fish swarm algorithm, in the midst of the waters, the fish tend to own or trailing other fish to find places with more nutrients and thus the largest number of fish survival in general is a place where most of the nutrients in the waters, artificial fish swarm algorithm is based on thisa characteristics, by constructing artificial fish to mimic fish foraging clusters and rear-end behavior, in order to achieve optimization, several typical behavior of the fish: (1) foraging behavior: the general case of fish in the water at randomthe free-swimming, swimming quickly when food is found, then the food is gradually increasing in the direction. (2) cluster behavior: the fish swimming in the process of naturally clustered, and abide by the rules when the fish cluster there are three: separate rule: try to avoid overcrowding with neighboring partners in order to ensure their own survival and to avoid harm alignment rules: as far as possible consistent with the mean direction of the)