PPT-An Introduction to Compressed Sensing

Student Shenghan TSAI Advisor Hsuan Jung Su and Pin Hsun Lin Date M ay 02 2014 1 Outline Introduction SignalSparse and Compressible Sparse amp Compressible. unibonnde Abstract Compressed sensing seeks to recover a sparse vector from a small number of linear and nonadaptive measurements While most work so far focuses on Gaussian or Bernoulli random measurements we investigate the use of partial random cir Compressed gas description . Definition of a . compressed gas – . any gas, or mixture . of gases, that is . pressurized and . contained in a . cylinder or tank.. 1a. Compressed gas description . Examples of compressed gases. An Introduction and Survey of Applications. Objectives. Description of theory. Discussion of important results. Study of relevant applications. Introduction to the Problem. CS is a new paradigm that makes possible fast acquisition of data using few number of samples. Exploiting . Spatial Locality . for Energy-Optimized . Compressed Caching. Somayeh. . Sardashti. and . David . A. . Wood. University . of Wisconsin-Madison. 1. 2. 3. Where does energy go?. Communication vs. Computation. instrumentation examples. 1. A little example of noise measurement . . in time domain and frequency domain. I acquired noise after a CSP (sampling 10ns) :. s. = 0.170mV. RMS. Charges Sensing Preamplifier & noise. Regulatory Issues & Judicial Developments. SHAH MURAD. Assistant Professor - Law . Federal Urdu University of Arts, Sciences and Technology (FUUAST), Karachi, Pakistan. Email: . shahmurad@live.com. Compressed Sensing. Mobashir. . Mohammad. Aditya Kulkarni. Tobias Bertelsen. Malay Singh. Hirak. . Sarkar. Nirandika. . Wanigasekara. Yamilet Serrano . Llerena. Parvathy. . Sudhir. Introduction. Mobashir. An Introduction and Survey of Applications. Objectives. Description of theory. Discussion of important results. Study of relevant applications. Introduction to the Problem. CS is a new paradigm that makes possible fast acquisition of data using few number of samples. Exploiting . Spatial Locality . for Energy-Optimized . Compressed Caching. Somayeh. . Sardashti. and . David . A. . Wood. University . of Wisconsin-Madison. 1. 2. 3. Where does energy go?. Communication vs. Computation. A Main Memory Compression Framework with . Low Complexity and Low Latency . Gennady Pekhimenko. , . Vivek. . Seshadri. . , . Yoongu. Kim, . Hongyi. . Xin. , . Onur. . Mutlu. , . Todd C. . Mowry. Visually inspect gas cylinders to make sure they are in safe condition. Caps and plugs in place. Damage. labels. BURN. GOUGE. GOUGE. CUT. Pitting due to corrosion. Cylinders are manufactured with reasonably symmetrical. Disclaimer: . this safety moment is designed to prevent similar incidents occurring. All guidance herein is provided in good faith and Step Change in Safety nor its member companies accept responsibility for any inaccuracies or omissions contained within this safety moment.. Lecturer. Ruba. . Yousif. . Hussain. Third Year. 1. Map Layout. Map Layout. Layout is the arrangement of elements on a page. A map layout may include a map title, legend, north arrow, scale bar, descriptive text, and geographic data.. Slobodan Vucetic * Vladimir Coric Zhuang Wang Department of Computer and Information Sciences Temple University Philadelphia, PA 19122, USA * t , y t ), t = 1…T}, where x t -dimensional inp