laplacian_of_gaussian_convolution_filter.m

一种对ofdm的基于DFT的信道估计的改进算法，能得到更好的性能(A DFT based on ofdm channel estimation of the improved algorithm can get better performance)

CDMA业务信道卷积解码实现，根据上下行信道区分生成不同码率的卷积码序列，original_sequence是原始输入序列，channel_select是信道选择参数，其中下行码率为1/2，上行信道为1/3 (CDMA business channel decoder Convolutional achieve, according to the distinction between upper and lower line to generate a different channel bit rate of the convolutional code sequence, original_sequence is the original input sequence, channel_select is channel selection parameters, which downlink bit rate of 1/2, upstream channel for the 1/3)

非平稳噪声下，通过预处理，可以很好的消除噪声的影响，且能对信号解相干(Non stationary noise, through pretreatment, can be very good to eliminate the influence of noise, and to signal decorrelation )

关于欧洲标准的cost207的信道模型，以matlab函数形式给出。(on European standards cost207 the channel model, presented in the form of Matlab function.)

思维进化算法优化BP神经网络——非线性函数拟合(Mind Evolutionary algorithm optimization BP neural network- a nonlinear function fitting)

运用MATLAB对控制系统进行仿真操作(to use MATLAB simulation and control systems operation)

灰色系统知道系统的一些简单信息，但是并没有完全了解该系统，只能根据统计推断或某种逻辑思维来研究该系统。(The gray system know some simple information system, but did not fully understand the system, to study the system can only be based on statistical inference, or some kind of logical thinking.)

A SNR code with no ISI in optical communication

几种ESPRIT算法性能分析的程序实例,是基于信噪比和阵元数为指标进行性能分析的(Several instance ESPRIT algorithm performance analysis, performance analysis is based on indicators of SNR)

说明：  对粒子滤波算法的原理和应用进行综述’首先针对非线性非高斯系统的状态滤波问题C阐述粒子滤波的原理D然后在分析采样=重要性=重采样算法基础上C讨论粒子滤波算法存在的主要问题和改进手段D最后从概率密度函数的角度出发C将粒子滤波方法与其他非线性滤波算法进行比较C阐明了粒子滤波的适应性C给出了粒子滤波在一些研究领域中的应用C并展望了其未来发展方向(QJPRQ Elc8&m :jelf dgwd99&jvdej gq:c&decwe 9d:ejv&chj&ec:d:cqi:pcrcw’8jfjgmdeelcg g&jgcd:"g g= #diqqjdghj&ec:9: u&cfCelcmcgc:jvjwcdq h9d:ejv&chj&ec:d:cmjpcgCudqcwgelcdgd&rqjqhqedgwd:wd&m :jelf=jf9 :edgvc=:cqdf9&jgmhj&ec:Celc9h9d:ev&chj&ec:d:cwjqviqqcwdgwqcjf9:d:cj&&iqe:decw)