Why this work is in the frame
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Bibliographic record
Abstract
Mobile Channel Characteristics introduces the principal transmission phenomena of mobile and personal communication - the ones that affect design of modems, channel simulators, smart antennas, and other system components at the physical level. It is designed to be accessible to senior undergraduates, as well as graduate students and working engineers. The treatment parallels mathematical derivations with intuitive explanations and simple approximations in order to develop the reader's understanding of the phenomena. Because of this strong tutorial flavor, the text is also suitable for those entering the area from a different academic discipline. Mobile Channel Characteristics was conceived and written as an interactive text to be viewed on a computer screen. It includes many features not found in conventional texts: The entire text resides on your hard drive. It is always ready, just a mouse-click away; It is a live document. Try different parameter values, and the equations, tables and graphs recalculate as you watch. Animated graphics illustrate dynamics of the channel. Explore propagation, modulation or system models interactively to gain additional insight; The examples and appendices are 'tear-off design sheets'. You can use their programs on the job or in your thesis to speed up your work; It links you to the world. Hyperlinks connect you to websites of cited authors, to online research journals, and to employers and graduate schools, all through the Internet. Mobile Channel Characteristics includes working programs for three different methods of channel gain generation for fading channel simulation, as well as working programs to illustrate their use. Mobile Channel Characteristics is an essential reference tool for practising engineers, researchers, academics, and students. It is a self-study text equally suited for classroom use
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it