The bootloader is stored in the internal boot ROM memory (system memory) of STM32devices. It is programmed by ST during production. Its main task is to download theapplication program to the internal Flash memory through one of the available serialperipherals (USART, CAN, USB, etc.). A communication protocol is defined for each serialinterface, with a compatible command set and sequences
標(biāo)簽： STM 32 啟動(dòng)代碼
上傳時(shí)間： 2014-09-06
上傳用戶：417313137
The Viterbi algorithm is the same as the binary case with one main difference: The survivor sequences include the uncoded bits, which are decided at each trellis stage when selecting one of two parallel branches with the largest correlation metric. Presently, only 8-PSK modulation is considered. Extensions to higher-order modulations can be implemented following a similar procedure.
標(biāo)簽： difference The algorithm the
上傳時(shí)間： 2015-07-05
上傳用戶：qiaoyue
Robustnesstochangesinilluminationconditionsaswellas viewing perspectives is an important requirement formany computer vision applications. One of the key fac-ors in enhancing the robustness of dynamic scene analy-sis that of accurate and reliable means for shadow de-ection. Shadowdetectioniscriticalforcorrectobjectde-ection in image sequences. Many algorithms have beenproposed in the literature that deal with shadows. How-ever,acomparativeevaluationoftheexistingapproachesisstill lacking. In this paper, the full range of problems un-derlyingtheshadowdetectionareidenti?edanddiscussed.Weclassifytheproposedsolutionstothisproblemusingaaxonomyoffourmainclasses, calleddeterministicmodeland non-model based and statistical parametric and non-parametric. Novelquantitative(detectionanddiscrimina-ionaccuracy)andqualitativemetrics(sceneandobjectin-dependence,?exibilitytoshadowsituationsandrobustnesso noise) are proposed to evaluate these classes of algo-rithms on a benchmark suite of indoor and outdoor videosequences.
標(biāo)簽： Robustnesstochangesinillumination conditionsaswellas perspectives requirement
上傳時(shí)間： 2014-01-23
上傳用戶：whenfly
SVMhmm: Learns a hidden Markov model from examples. Training examples (e.g. for part-of-speech tagging) specify the sequence of words along with the correct assignment of tags (i.e. states). The goal is to predict the tag sequences for new sentences.
標(biāo)簽： examples e.g. part-of-speech Training
上傳時(shí)間： 2015-12-05
上傳用戶：gyq
圖像處理的關(guān)于Snakes : Active Contour Models算法和水平集以及GVF的幾篇文章，文章列表為： [1]Snakes Active Contour Models.pdf [2]Multiscale Active Contours.pdf [3]Snakes, shapes, and gradient vector flow.pdf [4]Motion of level sets by mean curvature I.pdf [5]Spectral Stability of Local Deformations Spectral Stability of Local Deformations.pdf [6]An active contour model for object tracking using the previous contour.pdf [7]Volumetric Segmentation of Brain Images Using Parallel Genetic AlgorithmsI.pdf [8]Segmentation in echocardiographic sequences using shape-based snake model.pdf [9]Active Contours Without Edges.pdf 學(xué)習(xí)圖像處理的人必看的幾篇文章
標(biāo)簽： Contour Snakes Active Models
上傳時(shí)間： 2014-01-15
上傳用戶：wqxstar
This is a collection of m-files I created to complete a research project into the DC components of various encoding techniques. Eight of the files create random bit sequences that conform to their coding requirements. The others were files I found useful in the scope of the project and supplement the generating m-files.
標(biāo)簽： collection components complete research
上傳時(shí)間： 2015-12-24
上傳用戶：lnnn30
ICA介紹課件。There has been a wide discussion about the application of Independence Component Analysis (ICA) in Signal Processing, Neural Computation and Finance, first introduced as a novel tool to separate blind sources in a mixed signal. The Basic idea of ICA is to reconstruct from observation sequences the hypothesized independent original sequences
標(biāo)簽： Independence application discussion Component
上傳時(shí)間： 2016-01-12
上傳用戶：AbuGe
The problem of image registration subsumes a number of problems and techniques in multiframe image analysis, including the computation of optic flow (general pixel-based motion), stereo correspondence, structure from motion, and feature tracking. We present a new registration algorithm based on spline representations of the displacement field which can be specialized to solve all of the above mentioned problems. In particular, we show how to compute local flow, global (parametric) flow, rigid flow resulting from camera egomotion, and multiframe versions of the above problems. Using a spline-based description of the flow removes the need for overlapping correlation windows, and produces an explicit measure of the correlation between adjacent flow estimates. We demonstrate our algorithm on multiframe image registration and the recovery of 3D projective scene geometry. We also provide results on a number of standard motion sequences.
標(biāo)簽： image registration multiframe techniques
上傳時(shí)間： 2016-01-20
上傳用戶：520
Generate 100 samples of a zero-mean white noise sequence with variance , by using a uniform random number generator. a Compute the autocorrelation of for . b Compute the periodogram estimate and plot it. c Generate 10 different realizations of , and compute the corresponding sample autocorrelation sequences , and . Compute the average autocorrelation sequence as and the corresponding periodogram for . d Compute and plot the average periodogram using the Bartlett method. e Comment on the results in parts (a) through (d).
標(biāo)簽： zero-mean Generate sequence variance
上傳時(shí)間： 2016-03-04
上傳用戶：朗朗乾坤
LiteSQL is a C++ library that integrates C++ objects tightly to relational database and thus provides an object persistence layer. LiteSQL supports SQLite3, PostgreSQL and MySQL as backends. LiteSQL creates tables, indexes and sequences to database and upgrades schema when needed.
標(biāo)簽： integrates relational database LiteSQL
上傳時(shí)間： 2016-03-25
上傳用戶：源弋弋
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