RealTimeData

monte carloo simulation to test the result of

we can use this file for compressive sensing

光镊计算工具箱，Queenland大学的 编码很犀利(Queenland University of encoding is very sharp optical tweezers Computing Toolbox)

是matlab中对bp理论的源代码 通过此代码 只需输入原始数据 通过计算可以得到 预期的输出结论(the cold for matlab)

vedic multiplication

实现了30节点的状态估计，对比了ekf,ukf,ckf和aukf(A 30-node state estimation is implemented, comparing ekf, ukf, ckf, and aukf)

％ BackgroundRemoval=[true],false ％ Gain=[tsquare],linear ％ BandPass=[paul],fircls ％ CenterFrequency, auto (determined using pburg) ％ BandWidth=auto (a fraction of the CenterFrequency default=0.25) ％ ContrastStretch=[true],false ％ HilbertAmplitude=[true],false ％ HorizontalStacking=1 (a number of traces) ％( BackgroundRemoval = [true], false Gain = [tsquare], linear BandPass = [paul], fircls CenterFrequency, auto (determined using pburg) BandWidth = auto (a fraction of the CenterFrequency default = 0.25) ContrastStretch = [true], false HilbertAmplitude = [true], false HorizontalStacking = 1 (a number of traces))

transmitted ofdm signals with output.

MATLAB声呐图像特征提取与显示，基于线型特征提取，得到声呐的图像提取点云图像。(MATLAB sonar image feature extraction and display, based on linear feature extraction, image extraction obtained sonar point cloud image.)

comparison of BER of unipolar line coding and polar line coding. graph of BER vs SNR