fpga_matlab

扩展卡尔曼滤波的程序，十分好用，卡尔曼滤波。扩展卡尔曼滤波 EKF(Extended Kalman filter procedure is very easy to use, the Kalman filter. Extended Kalman Filter)

通过并行压缩进行二维信号压缩，提出了一种利用并行压缩传感技术对二维信号进行压缩的新方案。根据这个原理，译码器的重新构造可以并行进行。通过对二维信号进行某些排列，可以确保所有列具有大致相同的密度级别，并且可以使用相同的测量矩阵进行采样。这样可以避免二维信号的矢量化，从而大大减小测量矩阵的尺寸。我们证明，如果排列良好，重建均方误差的上限会更紧。为了说明这一方案，我们将其应用于视频压缩并使用不同帧的排列有两种：参考帧的基于Z字形扫描的排列和非参考帧的基于块测试的排列。仿真结果表明，在相同的压缩比下，峰值信噪比比比在无置换情况下可提高3-7db左右。(we propose a new scheme to compress 2D signals using parallel compressed sensing. According to this seheme, the reeonstruction at the decoder can be performed in parallel. By performing certain permutation on a 2D signal, all columns are insured to have approximately the same density level and can be sampled using the same measurement matrix. In this way, vectorization of a 2D signal can be avoided, and thus the size of the measurement matrix can be dramatically reduced. We prove that with a good permutation, we can have a tighter upper bound on reconstruction mean square error. To illustrate this scheme, we apply it to video compression and use two kinds of permutations for different frames: the zigzag-scanbased permutation for reference frames and the block-test-based permutation for non-reference frames. Simulation results show that under the same compression ratio, the peak signal-to-noise ratio can be improved by approximately 3-7 dB compared to the case without permutation.)

三自由度机械臂的运动工作空间，可以实现角度与坐标的变换(Three degree of freedom mechanical arm movement working space, may realize the angle and the transformation of coordinates)

说明：  用matlab绘制史密斯圆图，电子通信专业必备源码(Smith Chart in Matlab)

利用matlab进行信号处理的几个例子，简洁明了，十分实用(examples about signal processing using matlab)

anroid手机中BMI值计算，对于初学者而言是个不错的案例(anroid phone BMI values, for the beginner is a good case in terms of)

说明：  这是一个求杜芬方程解的小程序。开发环境为matlab。通过仿真曲线可以很容易的看到解的曲线。(Duffing equation for the small program. Development environment for Matlab. Through simulation curve can be very easy to see the solution curve.)

实现汉明译码：最大似然译码及BPSK解调(HAMMING DECODER AND MODULATE)

是我见过讲的最详细的关于稀疏信号的书，讲解了稀疏分解，以及书后的程序都是很好用的(Ive seen talking about the most detailed book about the sparse signal, explained the sparse decomposition, and program books are well used after)

介绍了如何在taskflow之间传递参数以及如何获取taskflow的返回值(Introduce how to post param to taskflow )