{"product_id":"signal-and-noise-in-geosciences-matlab-r-recipes-for-data-acquisition-in-earth-sciences","title":"Signal and Noise in Geosciences: MATLAB (R) Recipes for Data Acquisition in Earth Sciences","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eThis textbook teaches geoscientific data acquisition using MATLAB and inexpensive hardware like smartphones, LEGO MINDSTORMS, and cameras. It includes 35 exercises and electronic supplementary material with recipes, example data, and LEGO construction plans. \u003c\/blockquote\u003e\u003cp\u003e\n                                                            \u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\n                              \u003cstrong\u003eLength\u003c\/strong\u003e: 340 pages\u003cbr\u003e\n                              \u003cstrong\u003ePublication date\u003c\/strong\u003e: 07 November 2021\u003cbr\u003e\n                              \u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer Nature Switzerland AG\u003cbr\u003e\n                          \u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThis comprehensive textbook provides an in-depth exploration of geoscientific data acquisition techniques, leveraging the power of MATLAB in conjunction with affordable data acquisition hardware. By incorporating sensors found in smartphones, sensors included with the LEGO MINDSTORMS set, webcams equipped with stereo microphones, and affordable spectral and thermal cameras, the text offers a versatile approach to capturing diverse geoscientific data.\u003cbr\u003e\u003cbr\u003eThe book is organized into five chapters, each dedicated to a specific aspect of data acquisition. The first chapter introduces the fundamentals of MATLAB and its application in geoscience, while the subsequent chapters delve into specific data acquisition methods. These methods encompass the use of smartphones to capture stereo images of rock specimens, the classification of minerals in rocks using visible and near-infrared spectral cameras, the differentiation between different surface types using thermal cameras, the localization of sound sources using travel time differences between microphones, the quantification of total harmonic distortion and signal-to-noise ratio in acoustic and elastic signals, the acquisition and streaming of meteorological data through application programming interfaces, wireless networks, and internet of things platforms, the determination of spatial resolution in ultrasonic and optical sensors, and the detection of magnetic anomalies using a smartphone magnetometer mounted on a LEGO MINDSTORMS scanner.\u003cbr\u003e\u003cbr\u003eTo enhance the learning experience, the textbook includes 35 exercises that cover a wide range of data acquisition applications. These exercises encompass practical scenarios and hands-on activities, allowing students to apply the theoretical concepts learned in the text. Each exercise includes detailed instructions, example data, LEGO construction plans, photographs, and videos that demonstrate the measurement procedures. Additionally, the book's electronic supplementary material (available online through Springer Link) provides comprehensive recipes that encompass all the MATLAB commands featured in the book, along with example data, LEGO construction plans, photographs, and videos.\u003cbr\u003e\u003cbr\u003eBy utilizing the combination of MATLAB and affordable data acquisition hardware, this textbook empowers students and researchers to explore the vast potential of geoscientific data acquisition. It serves as a valuable resource for those interested in advancing their knowledge in this field and offers a solid foundation for future research and professional endeavors.\u003c\/p\u003e\u003cp\u003e\n                            \u003cstrong\u003eWeight\u003c\/strong\u003e: 866g\n                            \u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 161 x 243 x 24 (mm)\n                            \u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783030749125\n                            \u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 1st ed. 2021\n                          \u003c\/p\u003e","brand":"Martin H. Trauth","offers":[{"title":"Hardback","offer_id":44103273808122,"sku":"9783030749125","price":47.11,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/9faef394782f0d8018415ebebdcdbf72.jpg?v=1638847681","url":"https:\/\/shulphink.com\/products\/signal-and-noise-in-geosciences-matlab-r-recipes-for-data-acquisition-in-earth-sciences","provider":"Shulph Ink","version":"1.0","type":"link"}