MDP4

说明：  改程序对C/A码的产生进行了仿真，运行结果显示了第四颗卫星产生的C/A码(Application to the C/A code generation are simulated, operation results show that the fourth satellite produce C/A code)

基于matlab的最优化算法，此文为最经典的powell算法，很好的程序，简洁，易懂(optimization algorithm, the article for the most classic powell algorithm, very good procedures, concise, understandable)

detect car plat with NN and Image processing

zcr : ampzcr.m -- short time energy and zero crossing rate program vad.m -- endpoint detection

OFDM同技术研究中ML算法的MATLAB仿真(The OFDM same technology research ML algorithm MATLAB simulation)

说明：  this is simple signal processing matlab code

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.)

采用彩色图像进行路径的识别，它是实现自动驾驶的关键技术(The use of color images to identify the path, it is the realization of the key technologies autopilot)

Using the Serial Port with a MATLAB GUI

The ebook guides new users of Matlab to solve PDE equations. Easy reading and useful