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bit-error-rate

  • In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve r

    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 manual describes Freescale’s IEEE™ 802.15.4 Standard compliant MAC/PHY software. The Frees

    This manual describes Freescale’s IEEE™ 802.15.4 Standard compliant MAC/PHY software. The Freescale 802.15.4 MAC/PHY software is designed for use with the Freescale MC1319x and MC1320x, family of short range, low power, 2.4 GHz Industrial, Scientific, and Medical (ISM) band transceivers, designed for use with the HCS08 Family of MCUs. The MAC/PHY software also works with the MC1321x family of short range, low power, 2.4 GHz ISM band transceivers that incorporate a low power 2.4 GHz radio frequency transceiver and an 8-bit microcontroller into a single LGA package. Throughout this manual, the term transceiver refers to either the MC1319x, MC1320x, or the internal counterpart inside the MC1321x System in a Package (SiP).

    標簽: Freescale describes compliant Standard

    上傳時間: 2016-04-17

    上傳用戶:caiiicc

  • mips命令集詳解

    mips命令集詳解,the mips32 instruction set and instruction bit encodings

    標簽: mips 命令集

    上傳時間: 2016-04-23

    上傳用戶:Miyuki

  • This example provides a description of how to use a DMA channel to transfer a word data buffer fro

    This example provides a description of how to use a DMA channel to transfer a word data buffer from memory (Flash) to memory (RAM). The dedicated DMA channel is configured to transfer once a time a 32 word data buffer stored as constant in the Flash memory to another buffer in the RAM memory. The received data are stored in the DST_Buffer. The DMA channel transfer complete interrupt is enabled to generate an interrupt at the end of the buffer transfer. As soon as the transfer is completed an interrupt is generated and in the DMA channel interrupt routine the transfer complete interrupt pending bit is cleared. The data counter is stored before and after the transfer to show that all data has been transfered. TransferStatus gives the data transfer status where it is PASSED if transmitted and received data are the same otherwise it is FAILED

    標簽: description provides transfer example

    上傳時間: 2016-04-24

    上傳用戶:ecooo

  • 12864液晶原程序.#include <reg52.h> #include <intrins.h> typedef unsigned char BYTE typede

    12864液晶原程序.#include <reg52.h> #include <intrins.h> typedef unsigned char BYTE typedef bit BOOL sbit rs=P2^0 sbit rw=P2^1 sbit e =P2^2 BYTE code dis[]={"www.zansi.com"} delay(BYTE ms) {

    標簽: include unsigned intrins typedef

    上傳時間: 2016-04-25

    上傳用戶:zsjinju

  • 基于BP神經網絡的 參數自學習控制 (1)確定BP網絡的結構

    基于BP神經網絡的 參數自學習控制 (1)確定BP網絡的結構,即確定輸入層節點數M和隱含層節點數Q,并給出各層加權系數的初值 和 ,選定學習速率 和慣性系數 ,此時k=1; (2)采樣得到rin(k)和yout(k),計算該時刻誤差error(k)=rin(k)-yout(k); (3)計算神經網絡NN各層神經元的輸入、輸出,NN輸出層的輸出即為PID控制器的三個可調參數 , , ; (4)根據(3.34)計算PID控制器的輸出u(k); (5)進行神經網絡學習,在線調整加權系數 和 ,實現PID控制參數的自適應調整; (6)置k=k+1,返回(1)。

    標簽: BP神經網絡 參數 BP網絡 學習控制

    上傳時間: 2016-04-26

    上傳用戶:無聊來刷下

  • runs Kalman-Bucy filter over observations matrix Z for 1-step prediction onto matrix X (X can = Z)

    runs Kalman-Bucy filter over observations matrix Z for 1-step prediction onto matrix X (X can = Z) with model order p V = initial covariance of observation sequence noise returns model parameter estimation sequence A, sequence of predicted outcomes y_pred and error matrix Ey (reshaped) for y and Ea for a along with inovation prob P = P(y_t | D_t-1) = evidence

    標簽: matrix observations Kalman-Bucy prediction

    上傳時間: 2016-04-28

    上傳用戶:huannan88

  • KMEANS Trains a k means cluster model.CENTRES = KMEANS(CENTRES, DATA, OPTIONS) uses the batch K-mean

    KMEANS Trains a k means cluster model.CENTRES = KMEANS(CENTRES, DATA, OPTIONS) uses the batch K-means algorithm to set the centres of a cluster model. The matrix DATA represents the data which is being clustered, with each row corresponding to a vector. The sum of squares error function is used. The point at which a local minimum is achieved is returned as CENTRES.

    標簽: CENTRES KMEANS OPTIONS cluster

    上傳時間: 2014-01-07

    上傳用戶:zhouli

  • C-編譯器的設計文檔與源代碼下載,1. 具有比較友好的GUI界面(仿照了我自己正在用的emacs); 2. 語法支持比較全面(畢竟是C-

    C-編譯器的設計文檔與源代碼下載,1. 具有比較友好的GUI界面(仿照了我自己正在用的emacs); 2. 語法支持比較全面(畢竟是C-,語法還是不多的); 3. Error Recovery;

    標簽: emacs GUI 比較 編譯器

    上傳時間: 2014-07-03

    上傳用戶:水口鴻勝電器

  • vhdl編寫

    vhdl編寫,8b—10b 編解碼器設計 Encoder: 8b/10b Encoder (file: 8b10b_enc.vhd) Synchronous clocked inputs (latched on each clock rising edge) 8-bit parallel unencoded data input KI input selects data or control encoding Asynchronous active high reset initializes all logic Encoded data output 10-bit parallel encoded output valid 1 clock later Decoder: 8b/10b Decoder (file: 8b10b_dec.vhd) Synchronous clocked inputs (latched on each clock rising edge) 10-bit parallel encoded data input Asynchronous active high reset initializes all logic Decoded data, disparity and KO outputs 8-bit parallel unencoded output valid 1 clock later

    標簽: vhdl 編寫

    上傳時間: 2016-05-05

    上傳用戶:gundamwzc

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