new_srrc_one_cap_volterra_3rd_order_LMS

Visual Cryptography

改良后的下垂控制，效果还行，仅供参考.用于并网逆变器控制。(Droop control improved, and the results were OK, for reference purposes only. Used in grid inverter control.)

在机动目标跟踪中，机动目标模型是机动目标跟踪的基本要素之一，一般希望机动目标模型能准确表征目标机动时的各种运动状态。比较常用的模型有匀速运动(CV)模型、匀加速运动(CA) 模型、时间相关模型（Singer）和机动目标“当前”统计模型。上述模型均采用机动频率表征目标的机动情况。在应用当中，通常采用固定的机动频率，这就表示机动目标的机动时间是一定的，而实际上机动目标的机动时间是不断变化的，也就是说机动频率是不断变化的，采用固定机动频率必然会带来误差。采样周期在0.5—2S时，机动频率越小跟踪精度越高[1]，但机动频率仍然是固定值。本文提出的基于神经网络的机动频率自适应调整方法可以使机动频率随机动而变化，从而提高状态估计的准确性，提高跟踪精度。本文将小波神经网络用于机动目标跟踪中机动频率的自适应调整，该算法对机动目标“当前”统计模型中的机动频率进行实时修改, 从而自适应的改变机动频率,使跟踪算法与目标的真实状态更接近。该算法采用小波神经网络的离线训练，实时性好。(The maneuver of the maneuvering target is uncertain. The maneuvering frequency is constantly changeable, but traditionally it is beforehand determined as a constant based on the target state estimation in the state model of the maneuvering target. The maneuver of the maneuvering target makes the kinematics equation of the target model mismatch with the practical motion model and the tracking error will be increased. Based on the advantages of the self-learning, the rapid convergence rate and the nonlinear approximation ability of the wavelet neural network, it was put forward to be used in the field of target tracking in the paper. The new residual is used as the input of the wavelet neural network, the output of the network is used to adjust adaptively the maneuvering frequency of the CS model. The algorithm is more close to the real state of the target. The simulation results showed that tracking error can be reduced and the tracking accuracy can be improved.)

本程序为与《多采样率系统》一书配套的（中文界面）MATLAB可视化程序(Multiraten systeme in matlab，easly Using )

《实用化工计算机模拟：MATLAB在化学工程中的应用 》这本书光盘里的程序~(" Practical computer simulation of chemical engineering: MATLAB in chemical engineering," this book' s CD-ROM program ~)

产生PFGA需要的COE文件，正弦载波的码表生成方法，很简单。(COE file generated PFGA needed, sinusoidal carrier code table generation method, is simple.)

抗jsteg的隐写分析，jsteg jpeg图像隐写的重要方法之一。(Anti-jsteg of steganalysis, jsteg jpeg image steganography one of the important ways.)

co finite element for continuous beam

模式识别分类器的设计，此为LMS法源码，经调试通过。所用数据为标准IRIS。(Pattern recognition classifier design, the source for the LMS method, adopted by the debugger. Data used as the standard IRIS.)

说明：  1， 自动去除导频，空子载波的simulink模块 2， 接下来是转二进制的模块（集成在解交织解卷积模型里，用一个Interger2Bit实现） 3， 然后是解交织解卷积模型—deconv. 负责解交织和解卷积 4， 再就是解RS解随机化模型—decode_new. 负责解RS解随机化 5， decode.m文件： 负责主程序的运行，实现参数的输入和修改，支持各种调制编码方式 (1, automatically remove the pilot, take advantage of the simulink Carrier Module 2, followed by a binary switch module (integrated in deinterleave deconvolution model, with a Interger2Bit achieve) 3, followed by deconvolution model deinterleave-deconv . responsible for reconciliation deinterleave convolution 4, Then solution RS solution model random-decode_new. responsible solution RS solution randomized 5, decode.m documents: the main program is responsible for the operation, to achieve input and modify parameters to support a variety of modulation encoding)