review

Simple application that illustrates how the Control Panel functions

本文将SOM（自组织特征映射）和PNN（概率）神经网络应用到柴油机故障诊断中，首先介绍了SOM和PNN神经网络的算法，然后对柴油机的故障进行了分析，并运用matlab进行了仿真，验证了实验结果。(This article will SOM (self-organizing feature map) and PNN (probability) neural network is applied to fault diagnosis of diesel engine, first introduced the SOM and PNN neural network algorithm, and then analyses the fault of diesel engine, and has carried on the simulation using matlab, verify the experimental results.)

Arnold置乱变换的matlab程序，希望对大家有帮助。(Arnold scrambling transform matlab program)

说明：  使用MATLAB平台运行的一个完整的DBSCAN聚类算法(A Complete DBSCAN Clustering Algorithm Running on MATLAB Platform)

dsb code for understanding it in matlab

Tacacs+协议实现源代码，有助于分析Tacacs+协议(Tacacs+ protocol source code)

An inductive feedback technique increases the speed of resonant circuits by 62 , allowing operation near the of transistors. The technique leads to a fundamental oscillator operating at 128 GHz with a power dissipation of 9 mW and a phase noise of 105 dBc/Hz at 10-MHz offset. A divide-by-two circuit based on the idea and incorporating a sampling mixer achieves a maximum speed of 125 GHz while consuming 10.5 mW. The prototypes have been fabricated in 90-nm CMOS technology.(An inductive feedback technique increases the speed of resonant circuits by 62 , allowing operation near the of transistors. The technique leads to a fundamental oscillator operating at 128 GHz with a power dissipation of 9 mW and a phase noise of 105 dBc/Hz at 10-MHz offset. A divide-by-two circuit based on the idea and incorporating a sampling mixer achieves a maximum speed of 125 GHz while consuming 10.5 mW. The prototypes have been fabricated in 90-nm CMOS technology.)

此书是关于数字信号处理的一些算法收集，很详细，全面。(This book is about the digital signal processing algorithms to collect some very detailed and comprehensive.)

hartley and colpitts oscillator c program

SparseBayesDemo,用于学习稀疏贝叶斯算法的工具，由RVM算法开发者Tipping开发("SparseBayes" is a package of Matlab functions designed to implement an efficient learning algorithm for "Sparse Bayesian" models.)