Teaching and learning resources for A&P 2. Please check back as I intend to add more.
This book is intended for use in teaching undergraduate courses on continuous-time signals and systems in engineering (and related) disciplines. It has been used for several years for teaching purposes in the Department of Electrical and Computer Engineering at the University of Victoria and has been very well received by students. It has also been used to teach courses at numerous other universities, including Memorial University (NL, Canada) and Concordia University (QC, Canada).
This book provides a detailed introduction to continuous-time signals and systems, with a focus on both theory and applications. The mathematics underlying signals and systems is presented, including topics such as: properties of signals, properties of systems, convolution, Fourier series, the Fourier transform, frequency spectra, and the bilateral and unilateral Laplace transforms. Applications of the theory are also explored, including: filtering, equalization, amplitude modulation, sampling, feedback control systems, circuit analysis, and Laplace-domain techniques for solving differential equations. Other supplemental material is also included, such as: a detailed introduction to MATLAB, a review of complex analysis, and an exploration of time-domain techniques for solving differential equations. Throughout the book, many worked-through examples are provided. Problem sets are also provided for each major topic covered.
LECTURE SLIDES ABSTRACT:
The abstract for the lecture slides is as follows:
This document, which consists of approximately 2500 lecture slides, offers a wealth of information on many topics relevant to programming in C++, including coverage of the C++ language itself, the C++ standard library and a variety of other libraries, numerous software tools, and an assortment of other programming-related topics. The coverage of the C++ language and standard library is current with the C++17 standard.
C++ Programming Language. Many aspects of the C++ language are covered from introductory to more advanced. This material includes: the preprocessor, language basics (objects, types, values, operators, expressions, control-flow constructs, functions, and namespaces), classes, templates (function, class, variable, and alias templates, variadic templates, template specialization, and SFINAE), lambda expressions, inheritance (run-time polymorphism and CRTP), exceptions (exception safety and RAII), smart pointers, memory management (new and delete operators and expressions, placement new, and allocators), rvalue references (move semantics and perfect forwarding), concurrency (memory models, and happens-before and synchronizes-with relationships), compile-time computation, and various other topics (e.g., copy elision and initialization).
C++ Standard Library and Various Other Libraries. Various aspects of the C++ standard library are covered including: containers, iterators, algorithms, I/O streams, time measurement, and concurrency support (threads, mutexes, condition variables, promises and futures, atomics, and fences). A number of Boost libraries are discussed, including the Intrusive, Iterator, and Container libraries. The OpenGL library and GLSL are discussed at length, along with several related libraries, including: GLFW, GLUT, and GLM. The CGAL library is also discussed in some detail.
Software Tools. A variety of software tools are discussed, including: static analysis tools (e.g., Clang Tidy and Clang Static Analyzer), code sanitizers (e.g., ASan, LSan, MSan, TSan, and UBSan), debugging and testing tools (e.g., Valgrind, LLVM XRay, and Catch2), performance analysis tools (e.g., Perf, PAPI, Gprof, and Valgrind/Callgrind), build tools (e.g., CMake and Make), version control systems (e.g., Git), code coverage analysis tools (e.g., Gcov, LLVM Cov, and Lcov), online C++ compilers (e.g., Compiler Explorer and C++ Insights), and code completion tools (e.g., YouCompleteMe, and LSP clients/servers).
Other Topics. An assortment of other programming-related topics are also covered, including: data structures, algorithms, computer arithmetic (e.g., floating-point arithmetic and interval arithmetic), cache-efficient algorithms, vectorization, good programming practices, software documentation, software testing (e.g., static and dynamic testing, and structural coverage analysis), and compilers and linkers (e.g., Itanium C++ ABI).