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BCH编译码 彼得森译码 MATLAB译码 彼得森译码function(bch decode peterson decode)

Field of Digital Communications. Topic: Diversity Combining Matlab Program (m File) for exploiting Receiver Antenna Diversity: Performance Analysis of Maximal Ration Combining (MRC) and Equal Gain Combining EGC (EGC) with 3 Receiver Antennas

This is the Gaussian piramyd i found in matlab page is very useful to image procesing

说明：  实验5_数字滤波器的应用 应用matlab设计数字滤波器 实现IIR和FIR的设计(Application of experimental 5_ application matlab digital filter design IIR and FIR digital filter design to achieve)

说明：  深度神经网络在函数近似中表现优越，然而需要从头开始训练。另一方面，贝叶斯方法，像高斯过程（GPs），可以利用利用先验知识在测试阶段进行快速推理。然而，高斯过程的计算量很大，也很难设计出合适的先验。本篇论文中我们提出了一种神经模型，条件神经过程（CNPs），可以结合这两者的优点。CNPs受灵活的随机过程的启发，比如GPs，但是结构是神经网络，并且通过梯度下降训练。CNPs通过很少的数据训练后就可以进行准确的预测，然后扩展到复杂函数和大数据集。我们证明了这个方法在一些典型的机器学习任务上面的的表现和功能，比如回归，分类和图像补全(Deep neural networks perform well in function approximation, but they need to be trained from scratch. On the other hand, Bayesian methods, such as Gauss Process (GPs), can make use of prior knowledge to conduct rapid reasoning in the testing stage. However, the calculation of Gauss process is very heavy, and it is difficult to design a suitable priori. In this paper, we propose a neural model, conditional neural processes (CNPs), which can combine the advantages of both. CNPs are inspired by flexible stochastic processes, such as GPs, but are structured as neural networks and trained by gradient descent. CNPs can predict accurately with very little data training, and then extend to complex functions and large data sets. We demonstrate the performance and functions of this method on some typical machine learning tasks, such as regression, classification and image completion.)

认知无线电系统中，瑞利信道条件下的能量检测算法实现的频谱感知方法。(Cognitive radio systems, Rayleigh channel conditions energy detection method for spectrum sensing algorithm.)

主要实现图像处理中的细化，这种算法的效率非常的高，复杂度也比较小(Major refinement of image processing)

很多经典的音频水印程序,有一些可直接使用，有一些需要调试使用(many classic audio watermarking matlab program)

STC波形处理方法，提取波列慢度，应用于地震资料处理与测井资料处理中(STC waveform processing method to extract wave train slow degrees, applied to seismic data processing and logging data processing)

绘制不同函数曲线的用户界面。 调节函数，坐标范围和网格(Draw a different function curve user interface. Adjustment function, range and grid coordinates)