以L1-minimization為核心的算法，近幾年飛速進展，Compressive Sensing (Compressive Sampling) 已然成為數學領域和信號處理最前沿最熱門的方向。最近一年多這種新形式的算法快速蔓延到模式識別界應用，論文質量高、算法效果好、而且算法一般都非常簡單
標簽： minimization 核心 算法
上傳時間： 2013-12-21
上傳用戶：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.
標簽： experiment Blackfi EZ-KIT channe
上傳時間： 2013-12-27
上傳用戶：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.
標簽： Linux Understanding understand how
上傳時間： 2017-06-17
上傳用戶：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
標簽： file function signals matlab
上傳時間： 2014-01-25
上傳用戶：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.
標簽： Implementation demodulation implementing modulation
上傳時間： 2013-12-09
上傳用戶：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.
標簽： WiseNETTMwireless designed protocol WiseMAC
上傳時間： 2014-01-20
上傳用戶：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.
標簽： MAC protocols Standard networks
上傳時間： 2014-01-13
上傳用戶：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
標簽： Optimization and Uncertainty Quantification
上傳時間： 2016-04-08
上傳用戶：huhu123456
16-, 14-, 12-Bit, Six-Channel, Simultaneous Sampling ANALOG-TO-DIGITAL CONVERTERS
上傳時間： 2018-06-07
上傳用戶：nj精靈
給定統計樣本集，如何估計產生這個樣本集的隨機變量概率密度函數,是比較熟悉的概率密度估計問題。 求解概率密度估計問題的常用方法是最大似然估計、最大后驗估計等。但是思考概率密度估計問題的逆問題:給定一個概率分布p(x)，如何讓計算機生成滿足這個概率分布的樣本。 這個問題就是統計模擬中研究的重要問題–采樣(Sampling)。Gibbs采樣算法對應的java程序。
上傳時間： 2019-01-11
上傳用戶：Worm_Lemon
