ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points. Ordinary usage: [R, T] = icp(model,data) INPUT: model - matrix with model points, data - matrix with data points, OUTPUT: R - rotation matrix and T - translation vector accordingly so newdata = R*data + T . newdata are transformed data points to fit model see help icp for more information
標(biāo)簽： points the minimize respect
上傳時(shí)間： 2014-01-02
上傳用戶：gyq
Feature selection is a preprocessing technique frequently used in data mining and machine learning tasks. It can reduce dimensionality, remove irrelevant data, increase learning accuracy, and improve results comprehensibility. FCBF is a fast correlation-based filter algorithm designed for high-dimensional data and has been shown effective in removing both irrelevant features and redundant features
標(biāo)簽： preprocessing frequently selection technique
上傳時(shí)間： 2014-01-19
上傳用戶：lindor
The data files included are .MAT or *.dat (ASCII)files. The m-files and the data may be distributed, provided that the source is acknowledged in any publication and the data are not sold. Since this software is being distributed free of charge, the authors are not offering any technical support. Students who have any questions or difficulties using this software, or require the additional functions from the Signal Processing Toolbox should contact their professor.
標(biāo)簽： files data distributed The
上傳時(shí)間： 2014-12-06
上傳用戶：wuyuying
This paper examines the asymptotic (large sample) performance of a family of non-data aided feedforward (NDA FF) nonlinear least-squares (NLS) type carrier frequency estimators for burst-mode phase shift keying (PSK) modulations transmitted through AWGN and flat Ricean-fading channels. The asymptotic performance of these estimators is established in closed-form expression and compared with the modified Cram`er-Rao bound (MCRB). A best linear unbiased estimator (BLUE), which exhibits the lowest asymptotic variance within the family of NDA FF NLS-type estimators, is also proposed.
標(biāo)簽： performance asymptotic examines non-data
上傳時(shí)間： 2015-12-30
上傳用戶：225588
In recent years large scientific interest has been devoted to joint data decoding and parameter estimation techniques. In this paper, iterative turbo decoding joint to channel frequency and phase estimation is proposed. The phase and frequency estimator is embedded into the structure of the turbo decoder itself, taking into consideration both turbo interleaving and puncturing. Results show that the proposed technique outperforms conventional approaches both in terms of detection capabilities and implementation complexity.
標(biāo)簽： scientific parameter interest decoding
上傳時(shí)間： 2015-12-30
上傳用戶：894898248
Data Structures with C++附代碼
標(biāo)簽： Structures Data with 代碼
上傳時(shí)間： 2014-01-27
上傳用戶：trepb001
Techniques for storing and processing data are at the heart of all programs. The term data structure is used to describe the way data is stored, and the term algorithm is used to describe the way data is processed.
標(biāo)簽： data Techniques processing structure
上傳時(shí)間： 2014-03-10
上傳用戶：cc1
VESA Display Device Data Block (DDDB) Standard Display Device Data Block This proposal defines the Display Device Data Block (DDDB), for use in a CEA-861-compatible EDID extension, as originally proposed in the VESA TV Compatibility White Paper (Compatibility of PC and CE Displays, Aug.1, 2005).
標(biāo)簽： Display Device Block Data
上傳時(shí)間： 2014-10-11
上傳用戶：wanghui2438
VESA Display Transfer Characteristics Data Block Standard Display Transfer Characteristics Data Block
標(biāo)簽： Characteristics Transfer Display Data
上傳時(shí)間： 2016-01-01
上傳用戶：Thuan
VESA VIDEO TIMING BLOCK EXTENSION DATA STANDARD VTB-EXT Standard 求edid2.0
標(biāo)簽： EXTENSION STANDARD Standard VTB-EXT
上傳時(shí)間： 2014-12-05
上傳用戶：wpwpwlxwlx
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