these m files contain the solution of some problems in the book "communication system" by Haykin
標簽： communication the solution problems
上傳時間： 2017-07-09
上傳用戶：yzy6007
MATSNL is a package of MATLAB m-Files for computing wireless sensor node lifetime/power budget and solving optimal node architecture choice problems. It is intended as an analysis and simulation tool for researchers and educators that are easy to use and modify. MATSNL is designed to give the rough power/ lifetime predictions based on node and application specifications while giving useful insight on platform design for the large node lifetime by providing side-by-side comparison across various platforms.
標簽： computing lifetime wireless m-Files
上傳時間： 2017-07-19
上傳用戶：hasan2015
list of matlab m-Files on matlab 7.0. learning , support vector machine and some utility routines : autocorrelation, linearly scale randomize the row order of a matrix
標簽： matlab learning routines m-Files
上傳時間： 2017-07-24
上傳用戶：evil
How to create m-Files in Matlab guide.
標簽： m-Files create Matlab guide
上傳時間： 2017-09-04
上傳用戶：playboys0
Shape recognising,m files with example
標簽： recognising example Shape files
上傳時間： 2017-09-10
上傳用戶：阿四AIR
朱豫才系統辨識課本全部m-Files，是一些M文件，和朱豫才系統辨識課本配套使用
上傳時間： 2016-05-30
上傳用戶：帝出乎震
his folder contains the following files: 1. 02490rxP802-15_SG3a-Channel-Modeling-Subcommittee-Report-Final.doc: This is the final report of the channel modeling sub-committee. 2. cmx_imr.csv (x=1, 2, 3, and 4) represent the files containing the actual 100 channel realizations for CM1, CM2, CM3, and CM4. The columns are organized as (time, amp, time, amp,...) 3. cmx_imr_np.csv (x=1, 2, 3, and 4) represent the files containing the number of paths in each of the 100 multipath realizations. 4. cmx_imr.mat (x=1, 2, 3, and 4) are the .mat files that can be loaded directly into Matlab (TM). 5. *.m files are the Matlab (TM) files used to generate the various channel realizations.
標簽： a-Channel-Modeling-Subcommittee-R following contains folder
上傳時間： 2013-12-21
上傳用戶：hxy200501
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
基于simulink的uwb仿真 uwb.mdl: UWB model - open this to begin. uwb_lib.mdl: Library blocks for UWB model. uwb_init.m: Initialization called before model is loaded. uwb_settings: Sets up structure containing system parameters ( uwb in workspace). uwb_imr.m: Initializes UWB channel impulse response. uwb_sv_*.m: Four m-Files used to generate channel impulse responses (MAT files).
上傳時間： 2013-12-22
上傳用戶：gengxiaochao
采用THP預編碼（QR算法）的simulink仿真鏈路，有16QAM和QPSK兩種調制方式，信道為瑞利衰落信道（simulink+m files）
上傳時間： 2013-12-21
上傳用戶：changeboy
