以L1-minimization为核心的算法，近几年飞速进展，Compressive Sensing (Compressive Sampling) 已然成为数学领域和信号处理最前沿最热门的方向。最近一年多这种新形式的算法快速蔓延到模式识别界应用，论文质量高、算法效果好、而且算法一般都非常简单
标签： minimization 核心 算法
上传时间： 2013-12-21
上传用户：我干你啊
This experiment uses the Blackfi n BF533/BF537 EZ-KIT to run a simple FIR fi lter on stereo channels at a sampling frequency of 48 kHz. The CYCLE register is embedded in the main program ( process_data.c) to benchmark the time needed to process two FIR fi lters. A background telemetry channel (BTC) is set up to display the cycle count.
标签： experiment Blackfi EZ-KIT channe
上传时间： 2013-12-27
上传用户：baiom
Understanding the Linux Kernel helps readers understand how Linux performs best and how it meets the challenge of different environments. The authors introduce each topic by explaining its importance, and show how kernel operations relate to the utilities that are familiar to Unix programmers and users.
标签： Linux Understanding understand how
上传时间： 2017-06-17
上传用户：ywqaxiwang
This file is a function under matlab which allow to read, play and plot audio signals from wav file. We can also extract the sampling frequency and coding bit number
标签： file function signals matlab
上传时间： 2014-01-25
上传用户：diets
Title : Implementation of quadrature modulation and demodulation Design Object : By implementing quadrature modulation and demodulation of analog signals in digital signal processing, students will have better understanding of sampling and frequency analysis of discrete-time signals. Design Content : Make a MATLAB function which performs quadrature modulation and demodulation for a input signal with anti-aliasing filtering.
标签： Implementation demodulation implementing modulation
上传时间： 2013-12-09
上传用户：蠢蠢66
WiseMAC is a medium access control protocol designed for the WiseNETTMwireless sensor network. It is based on CSMA and uses the preamble sampling technique to minimize the power consumed when listening to an idle medium.
标签： WiseNETTMwireless designed protocol WiseMAC
上传时间： 2014-01-20
上传用户：x4587
X-MAC, a low power MAC protocol for wireless sensor networks (WSNs). Standard MAC protocols developed for duty-cycled WSNs such as BMAC, which is the default MAC protocol for TinyOS, employ an extended preamble and preamble sampling.
标签： MAC protocols Standard networks
上传时间： 2014-01-12
上传用户：王楚楚
Computational models are commonly used in engineering design and scientific discovery activities for simulating complex physical systems in disciplines such as fluid mechanics, structural dynamics, heat transfer, nonlinear structural mechanics, shock physics, and many others. These simulators can be an enormous aid to engineers who want to develop an understanding and/or predictive capability for complex behaviors typically observed in the corresponding physical systems. Simulators often serve as virtual prototypes, where a set of predefined system parameters, such as size or location dimensions and material properties, are adjusted to improve the performance of a system, as defined by one or more system performance objectives. Such optimization or tuning of the virtual prototype requires executing the simulator, evaluating performance objective(s), and adjusting the system parameters in an iterative, automated, and directed way. System performance objectives can be formulated, for example, to minimize weight, cost, or defects; to limit a critical temperature, stress, or vibration response; or to maximize performance, reliability, throughput, agility, or design robustness. In addition, one would often like to design computer experiments, run parameter studies, or perform uncertainty quantification (UQ). These approaches reveal how system performance changes as a design or uncertain input variable changes. Sampling methods are often used in uncertainty quantification to calculate a distribution on system performance measures, and to understand which uncertain inputs contribute most to the variance of the outputs. A primary goal for Dakota development is to provide engineers and other disciplinary scientists with a systematic and rapid means to obtain improved or optimal designs or understand sensitivity or uncertainty using simulationbased models. These capabilities generally lead to improved designs and system performance in earlier design stages, alleviating dependence on physical prototypes and testing, shortening design cycles, and reducing product development costs. In addition to providing this practical environment for answering system performance questions, the Dakota toolkit provides an extensible platform for the research and rapid prototyping of customized methods and meta-algorithms
标签： Optimization and Uncertainty Quantification
上传时间： 2016-04-08
上传用户：huhu123456
16-, 14-, 12-Bit, Six-Channel, Simultaneous Sampling ANALOG-TO-DIGITAL CONVERTERS
上传时间： 2018-06-07
上传用户：nj精灵
给定统计样本集，如何估计产生这个样本集的随机变量概率密度函数,是比较熟悉的概率密度估计问题。 求解概率密度估计问题的常用方法是最大似然估计、最大后验估计等。但是思考概率密度估计问题的逆问题:给定一个概率分布p(x)，如何让计算机生成满足这个概率分布的样本。 这个问题就是统计模拟中研究的重要问题–采样(Sampling)。Gibbs采样算法对应的java程序。
上传时间： 2019-01-11
上传用户：Worm_Lemon
