LFM10us

关于GPS单点定位的matlab程序，希望对大家有所帮助(GPS single point positioning on the matlab program, we want to help)

SVPWM 矢量控制系统仿真源码 没太看明白 大家试着看看吧(SVPWM vector control system based source did not quite understand this we try to look at it)

由于一般的功率放大器不是线性的，且动态范围是有限的，所以当OFDM系统内这种变化范围大的信号通过非线性部件时，信号会产生非线性失真。( As the general power amplifier is not linear, and the dynamic range is limited, so that when a large range of variation within an OFDM system, the nonlinear signal components, the signal will produce nonlinear distortion.)

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.)

用FFT和FIR方法实现MTD处理()

MULTIPLE INPUT MULTIPLE OUTPUT FOR WIRELESS COMMUNICATION

这是一个基于abaqus二次开发的粘弹性边界模型，可以应用于abaqus地震计算的边界处理。(this is a secondary development of abaqus, it is about visco-elastic boundary and can be used for calculation for seism. )

This LDPC software is intended as an introduction to LDPC codes computer based simulation. The pseudo-random irregular low density parity check matrix is based on Radford M. Neal’s programs collection, which can be found in [1]. While Neal’s collection is well documented, in my opinion, C source codes are still overwhelming, especially if you are not knowledgeable in C language. My software is written for MATLAB, which is more readable than C. You may also want to refer to another MATLAB based LDPC source codes in [2], which has different flavor of code-writing style (in fact Arun has error in his log-likelihood decoder). (This LDPC software is intended as an introduction to LDPC codes computer based simulation. The pseudo-random irregular low density parity check matrix is based on Radford M. Neal s programs collection, which can be found in [1]. While Neal s collection is well documented, in my opinion, C source codes are still overwhelming, especially if you are not knowledgeable in C language. My software is written for MATLAB, which is more readable than C. You may also want to refer to another MATLAB based LDPC source codes in [2], which has different flavor of code-writing style (in fact Arun has error in his log-likelihood decoder).)

可以进行直方图计算，也可以进行灰度运算，可以实现图像的变换操作(Histogram can be calculated, it can be gray-scale operation, the image transformation operation can be achieved)

遗传算法matlab编程源代码遗传算法matlab编程源代码遗传算法matlab编程源代码遗传算法matlab编程源代码(Genetic Algorithms)