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For introductory courses (freshman and sophomore courses) in Digital Signal Processing and Signals and Systems. Text may be used before the student has taken a course in circuits. DSP First and its accompanying digital assets are the result of more than 20 years of work that originated from, and was guided by, the premise that signal processing is the best starting point for the study of electrical and computer engineering. The "DSP First" approach introduces the use of mathematics as the language for thinking about engineering problems, lays the groundwork for subsequent courses, and gives students hands-on experiences with MATLAB.  The 2nd Edition features three new chapters on the Fourier Series, Discrete-Time Fourier Transform, and the The Discrete Fourier Transform as well as updated labs, visual demos, an update to the existing chapters, and hundreds of new homework problems and solutions. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.

Digital Signal Processing First, Global Edition

• Title Page


• Copyright Page


• Contents


• PREFACE


• 1 Introduction


• 1-1 Mathematical Representation of Signals


• 1-2 Mathematical Representation of Systems


• 1-3 Systems as Building Blocks


• 1-4 The Next Step


• 2 Sinusoids


• 2-1 Tuning-Fork Experiment


• 2-2 Review of Sine and Cosine Functions


• 2-3 Sinusoidal Signals


• 2-3.1 Relation of Frequency to Period


• 2-3.2 Phase and Time Shift


• 2-4 Sampling and Plotting Sinusoids


• 2-5 Complex Exponentials and Phasors


• 2-5.1 Review of Complex Numbers


• 2-5.2 Complex Exponential Signals


• 2-5.3 The Rotating Phasor Interpretation


• 2-5.4 Inverse Euler Formulas


• 2-6 Phasor Addition


• 2-6.1 Addition of Complex Numbers


• 2-6.2 Phasor Addition Rule


• 2-6.3 Phasor Addition Rule: Example


• 2-6.4 MATLAB Demo of Phasors


• 2-6.5 Summary of the Phasor Addition Rule


• 2-7 Physics of the Tuning Fork


• 2-7.1 Equations from Laws of Physics


• 2-7.2 General Solution to the Differential Equation


• 2-7.3 Listening to Tones


• 2-8 Time Signals: More Than Formulas


• 2-9 Summary and Links


• 2-10 Problems


• 3 Spectrum Representation


• 3-1 The Spectrum of a Sum of Sinusoids


• 3-1.1 Notation Change


• 3-1.2 Graphical Plot of the Spectrum


• 3-1.3 Analysis versus Synthesis


• 3-2 Sinusoidal Amplitude Modulation


• 3-2.1 Multiplication of Sinusoids


• 3-2.2 Beat Note Waveform


• 3-2.3 Amplitude Modulation


• 3-2.4 AM Spectrum


• 3-2.5 The Concept of Bandwidth


• 3-3 Operations on the Spectrum


• 3-3.1 Scaling or Adding a Constant


• 3-3.2 Adding Signals