本程序是用于WGS-84向北京1954坐標系轉換的。要想進行轉換需要至少3個控制點。這些后，程序通過轉換參量計算待轉換點在北京1954坐標系中的空間直角坐標。然后將空間直角坐標轉換成大地坐標，最后再將大地坐事本文件中。首先將控制點數據保存在一個記事本文件中。在此文件中每行對應一個控制點的信息，按先北京1954坐標系X、Y、Z再WGS-84坐標系X、Y、Z，每個數據用空格分開。然后將要輸入的待轉換點坐標寫入令一個記事本文件，本程序可同時計算多個待轉換點數據，在記事本中每行保存一個待轉換點數據
上傳時間： 2013-12-14
上傳用戶：Amygdala
The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient state-of-the-art resampling routines. These are generic and suitable for any application. For details, please refer to Rao-Blackwellised Particle Filtering for Fault Diagnosis and On Sequential Simulation-Based Methods for Bayesian Filtering After downloading the file, type "tar -xf demo_rbpf_gauss.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab and run the demo.
標簽： filtering particle Blackwellised conditionall
上傳時間： 2014-12-05
上傳用戶：410805624
In this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of the ABC network should complement the UAI2000 paper by Arnaud Doucet, Nando de Freitas, Kevin Murphy and Stuart Russell. After downloading the file, type "tar -xf demorbpfdbn.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "dbnrbpf" for the demo.
標簽： Rao-Blackwellised conditional filtering particle
上傳時間： 2013-12-14
上傳用戶：小儒尼尼奧
In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar -xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets.
標簽： Rauch-Tung-Striebel algorithm smoother which
上傳時間： 2016-04-15
上傳用戶：zhenyushaw
This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
標簽： sequential reversible algorithm nstrates
上傳時間： 2014-01-18
上傳用戶：康郎
This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar -xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
標簽： reversible algorithm the nstrates
上傳時間： 2014-01-08
上傳用戶：cuibaigao
The algorithms are coded in a way that makes it trivial to apply them to other problems. Several generic routines for resampling are provided. The derivation and details are presented in: Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas and Eric Wan. The Unscented Particle Filter. Technical report CUED/F-INFENG/TR 380, Cambridge University Department of Engineering, May 2000. After downloading the file, type "tar -xf upf_demos.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "demo_MC" for the demo.
標簽： algorithms problems Several trivial
上傳時間： 2014-01-20
上傳用戶：royzhangsz
巴克碼生成與測試電路。 當計數脈沖不斷進入由Q3Q2Q1組成的三位二進制異步計數器時，3-8譯碼器的8個輸出經反相器后順序輸出高電平。其中五路信號經“或非”后再和其中3路“或”，在Y端便可順序產生11000100代碼序列。
上傳時間： 2016-04-18
上傳用戶：極客
--- --- ----- 1、界面更友善 2、優化主代碼 3、更新熱門詞 4、增加搜索排行榜 5、修正切換搜索引擎時左欄不會隨所選引擎自動變換問題 例：原http://so.ok881.com/go.asp?Key=唱得響亮&NO=9（這時左欄處于“網頁”分類目錄） 當將NO=9換成NO=101 時，左欄能自動切換到“影視”分類目錄 6、增加相關搜索關鍵詞 （經測試此功能所得關鍵詞會大量被搜索引擎收錄） ^_^ 驚喜中... 7、增加知識搜索、行情搜索； 8、更新免費搜索代碼，提供多種尺寸及顏色選擇。
上傳時間： 2016-04-20
上傳用戶：onewq
可以通過向電子指南針模組發送不同的命令字，得到X 軸和Y 軸磁性傳感器的測量值，經過計算可 以得到電子指南針模組與正北方向的順時針夾角。
上傳時間： 2014-01-21
上傳用戶：水口鴻勝電器
