BUAT-GUI-MATLAB

颜色量化算法，在HSV空间将颜色量化为128维(colorhist algorithm，the color is divided 128)

实现水下舰艇噪声定位 主题是矢量阵近场聚焦(The principle of convention and MVDR near-field focusi ng beamforming technology based on vector hydrophone linear array are investigated in the thesis, simulation is carried on using MATLAB.)

使用matlab编程，实现文件数据游程编码、（7，4）线性码、模拟二元传输信道(Using matlab programming, file data length coding, (7,4) linear code, binary transmission channel simulation)

非线性整数规划的遗传算法Matlab程序

平面圆阵波束形成，使用阵列流型向量编写，对于理解波束形成有帮助(Planar circular array beamforming, the use of array-based flow vector preparation, for help understanding beamforming)

用matlab编写的猜数字有些，希望对大家有用。(Prepared using matlab numberguess some hope for all of us.)

模糊序贯决策算法优化设计及Matlab实现(Fuzzy sequential decision algorithm to optimize the design and Matlab achieve)

猴群算法在参数优化中的应用，用来选择最优的参数值(Monkeys in the parameter optimization algorithm, used to the optimal parameter values)

MATLAB7.x数字信号处理，基本的数字信号处理的程序都在这里了(nearly all the DPS program)

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.)