多层LSTM

fir filter design for nois removal from speech signal..........it can be done using iir filte or different windows also

AR模型功率谱估计,Matlab环境,估计效果较好.(AR model for power spectrum estimation, Matlab environment, it is estimated better.)

双馈风力发电系统的较详细模型，包含了网侧和机侧的控制算法，可以调试运行！(A more detailed model of doubly-fed wind power generation system, including the control algorithms network side and the machine side, you can debug run!)

实现半脆弱小波提取，实现文献A FEATURE-BASED SEMI-FRAGILE WATERMARKING SCHEME IN DWT DOMAIN.pdf的源码(Achieve semi-fragile wavelet extraction, to achieve literature A FEATURE-BASED SEMI-FRAGILE WATERMARKING SCHEME IN DWT DOMAIN.pdf source)

对语音信号进行处理，包括语音信号的维纳滤波，卡尔曼滤波等(Speech signal processing, including Wiener filtering a speech signal, Kalman filtering, etc.)

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.)

MIS结构是半导体技术中的一个重点研究内容，本程序使用matlab程序编写，用于模拟MIS电容在不同频率和不同的非理想因素影响下的C-V特性(MIS structure is a key semiconductor technology research in the content, this program uses the matlab programming, used to simulate the MIS capacitor at different frequencies and different factors of non-ideal CV characteristics under)

说明：  信道 估计中QAM的 代码 极具参考价值 很值得以看(Code channel estimation reference value is worth to see)

刘利生所著外弹道测量数据处理一书的电子版，比本站版本更为清晰的版本。(Exterior ballistic measurement data processing，author liu li sheng,2001.)

document shows process of moore rseudo inverse matrix calculation