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Viss ir tikai meitenu rokas. No Nujorkas lidz Parizei, no Burgundijas lidz Londonai vai Maiami. Sis meitenes prato, deg ka liesmas, mil. Meitenes, kuras cinas par savu dzivi. Un viriesi? Ari vini te ir. Tacu tiesi meitenes ir tas, kuras dejo, dejo, dejo. Vinas saskaida savu likteni drumslas. Un tas nekad nebeidzas!

Augstas modes sapnu dizainere Hortenze atrod savu celu, un tas vinu aizved atpakal no Nujorkas uz Parizi – visu modes meistaru sapnu pilsetu. Gerija Vorda milestibas saule gozejoties, Hortenze ir drosa, ka attalums starp viniem abiem pieskirs attiecibam jaunu garsu. Tikmer toposais pianists Gerijs Vords gatavojas savam liktenigajam uznacienam – prestizas Dzuljarda skolas konkursa vins uzstasies dueta ar skolas pelnruskiti un vijoles speles dievieti – Kalipso Munjezu. Daudzas stundas divata ar Kalipso atmodina Gerija vel nebijusas sajutas…

Romana varonu dzive mutulo – Hortenze laujas galvu reibinosam karjeras lidojumam, Gerijs megina atrast sava ideala skandarba notis un nespej izveleties starp divam dievietem – ugunigi skaisto un maigi valdzinoso. Stella dzili ievelk elpu, izriez krutis un uzdrosinas ieskatities acis pagatnes regiem, Zozefine macas milet sevi un laut, lai citi vinu mil. Ka mezoniga upe dzive ir mainiga, strauja un nepieludzama. Bet tas, kurs nebaidas staties preti bangojosam kracem, tiek dasni atalgots.

This book examines signal processing techniques for cognitive radios. The book is divided into three parts: Part I, is an introduction to cognitive radios and presents a history of the cognitive radio (CR), and introduce their architecture, functionalities, ideal aspects, hardware platforms, and state-of-the-art developments. Dr. Jayaweera also introduces the specific type of CR that has gained the most research attention in recent years: the CR for Dynamic Spectrum Access (DSA). Part II of the book, Theoretical Foundations, guides the reader from classical to modern theories on statistical signal processing and inference. The author addresses detection and estimation theory, power spectrum estimation, classification, adaptive algorithms (machine learning), and inference and decision processes. Applications to the signal processing, inference and learning problems encountered in cognitive radios are interspersed throughout with concrete and accessible examples. Part III of the book, Signal Processing in Radios, identifies the key signal processing, inference, and learning tasks to be performed by wideband autonomous cognitive radios. The author provides signal processing solutions to each task by relating the tasks to materials covered in Part II. Specialized chapters then discuss specific signal processing algorithms required for DSA and DSS cognitive radios.