group-disprision-calculation

SHAPE FROM SHADING FOR EIKONAL PROBLEMS

matlab数字滤波器，cic，hb，fir 滤波器 欢迎参考(Matlab digital filters, cic, hb, welcomed the reference filter fir)

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)

Given these two interests for HVDC in the Norwegian offshore, the use of Multiterminal HVDC (MTDC) is a potential solution for the integration of the wind farms and oil/gas platforms into the onshore grid. Control systems for multiterminal HVDC (MTDC) networks should be developed and their operation be analyzed. First controllers for two-terminal HVDC connected to different types of AC grids must be developed and analyzed. Then this must be extended to develop control of multiterminal HVDC system. Models should be developed in PSCAD/EMTDC simulation software and results should be analyzed to validated proposed control schemes.

用adaboost算法生成基支持向量机分类器，并对识别结果进行简单投票法集成。附有支持向量机工具箱和adaboost算法流程说明。(Adaboost algorithm to generate the base with a support vector machine classifier, and the recognition result is a simple voting method integration. With support vector machine algorithm toolbox and adaboost process description.)

雷达采集卡应用接口代码，用于控制雷达采集卡采集雷达视频数据。(Radar data capture software code.)

amplitude modulation code

用matlab实现的DVBs2的编解码，可以在matlab中运行。(, You can run in matlab matlab achieve with the codec DVBs2.)

为了提高使用精度，研究了某型号MEMS陀螺仪的随机漂移模型。采用游程检验法分析了 该陀螺仪随机漂移数据的平稳性，并根据该漂移为均值非平稳、方差平稳的随机过程的结论， 采用梯度径向基（RBF）神经网络对漂移数据进行了建模。实验结果表明：相比经典RBF网络模 型而言，这种方法建立的模型能更好地描述MEMS陀螺仪的漂移特；相对于季节时间序列模型而 言，其补偿效果提高了大约15％。(In order to improve accuracy, to study a particular model of the MEMS gyroscope random drift model. Using run-length analysis of the test gyro random drift data stationarity, and in accordance with the drift for the average non-stationary, the variance of the random process a smooth conclusion, the use of gradient radial basis (RBF) neural network drift data to build mode. The experimental results show that: compared to the classical RBF network model, this method of establishing a model to better describe the MEMS gyroscope drift special compared with the seasonal time series model, the effect of their compensation increased by approximately 15.)

高阶谱分析用于高频型号的处理，可进行非线性的信号分析(Higher order spectral analysis used in the processing of high-frequency models, non-linear signal analysis)