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                <text>Using a systems framework, this textbook provides a clear and comprehensive introduction to the performance, analysis, and design of radio systems for students and practicing engineers. Presented within a consistent framework, the first part of the book describes the fundamentals of the subject: propagation, noise, antennas, and modulation. The analysis and design of radios, including RF circuit design and signal processing, is covered in the second half of the book.&#13;
&#13;
Key features&#13;
&#13;
Numerous examples within the text involve realistic analysis and design activities and emphasize how practical experiences may differ from theory or taught procedures. &#13;
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Both traditional and software-defined/direct sampling technologies are described with the pros and cons of each strategy explained. &#13;
&#13;
Radio Systems Engineering (Revised First Edition) was previously published by Cambridge University Press (2016), ISBN 9781107068285. This version is © Steven W. Ellingson and has been lightly updated to correct known errata and minor issues with text and figures and to present examples in color highlight boxes and some figures in color. It is made freely available and under a Creative Commons Attribution NonCommercial International License (CC BY NC 4.0) with permission from Cambridge University Press.</text>
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                <text>n this chapter, the discussion revolves around Africa’s engagement with the new Europe in a post-Brexit era – which, like AfCFTA, also became effective on 1 January 2021. The chapter discusses, on a broader level, Europe–Africa relations in the creative industries. Specific examples are drawn from the Commonwealth Agenda, and the France/German/Dutch relations at both the public and private spheres.</text>
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                <text>The study presents an examination of mutual funds average returns relative to the benchmark in Ghana using Sharpe and Treynor’s index for a sample of ten Ghanaian Mutual Funds selected on the basis of consecutive data availability during the period of 1st January 2010 to 31st December, 2014. The results revealed that 80% of the Mutual Funds recorded high raw returns with a strong correlation coefficient of+ 0.6089 between the raw returns and total risk. It was also found that the average Sharpe index for all the Mutual Funds was 1.351 outperforming the benchmark index of 0.300 and more so the average Treynor index for all the Mutual Funds was 12.68 beating the benchmark index of 9.59. Moreover 80% of the Mutual Funds were highly diversified with an average adjusted R-square of 59.88%. The analysis concluded that, the money market funds had a superior performance than the balanced and equity funds under all the three performance evaluation techniques.</text>
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                <text>The study presents an examination of mutual funds average returns relative to the benchmark in Ghana using Sharpe and Treynor’s index for a sample of ten Ghanaian Mutual Funds selected on the basis of consecutive data availability during the period of 1st January 2010 to 31st December, 2014. The results revealed that 80% of the Mutual Funds recorded high raw returns with a strong correlation coefficient of +0.6089 between the raw returns and total risk. It was also found that the average Sharpe index for all the Mutual Funds was 1.351 outperforming the benchmark index of 0.300 and more so the average Treynor index for all the Mutual Funds was 12.68 beating the benchmark index of 9.59. Moreover 80% of the Mutual Funds were highly diversified with an average adjusted R-square of 59.88%. The analysis concluded that, the money market funds had a superior performance than the balanced and equity …</text>
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                <text>The study presents an examination of mutual funds average returns relative to the benchmark in Ghana using Sharpe and Treynor’s index for a sample of ten Ghanaian Mutual Funds selected on the basis of consecutive data availability during the period of 1st January 2010 to 31st December, 2014. The results revealed that 80% of the Mutual Funds recorded high raw returns with a strong correlation coefficient of+ 0.6089 between the raw returns and total risk. It was also found that the average Sharpe index for all the Mutual Funds was 1.351 outperforming the benchmark index of 0.300 and more so the average Treynor index for all the Mutual Funds was 12.68 beating the benchmark index of 9.59. Moreover 80% of the Mutual Funds were highly diversified with an average adjusted R-square of 59.88%. The analysis concluded that, the money market funds had a superior performance than the balanced and equity funds under all the three performance evaluation techniques</text>
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                <text>While community-based natural resource management appears common in Africa, management innovation (MI) in community-based tourism (CBT) on the continent has received limited attention. This chapter contributes to the innovative management of CBT promoted through recruiting actors that might seem remote ordinarily in tourism governance. We noted complexities in managing CBTs with multi-actors and diverse interests. Using actor network theory (ANT) and MI, we argue that CBT can be managed innovatively by recruiting diverse transnational, national and local actors, institutions, and discourses. It entails a complex and interactive engagement with actors that help in marketing, promoting, and tourism infrastructure development. MI in CBT is analysed within a network perspective of enrolling actors into a tourism system to pursue communal and corporate agenda. And lessons from CBTs in Ghana and South Africa highlight that (un)successful CBT is contingent on effective recruiting and enrolling of actors to promote resilient and inclusive tourism.</text>
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