Data Signal Processing for Beginners gives you a clear, practical route into this essential field. Instead of burying the ideas beneath calculus and dense notation, Sean Shouse explains what each concept does, why it matters, and how it appears in real technology.
Inside, you will learn how to:
Understand analog, digital, continuous, discrete, periodic, and random signalsApply sampling, quantization, and the Nyquist principle while avoiding aliasingRecognize noise, distortion, harmonics, bandwidth, and signal-to-noise ratioInterpret signals in both the time and frequency domainsGrasp Fourier transforms, spectra, windowing, and spectral leakage without excessive mathematicsCompare low-pass, high-pass, band-pass, and band-stop filtersUnderstand FIR and IIR filters, convolution, cutoff frequency, and filter orderExplore practical tools such as Python, MATLAB, Audacity, GNU Radio, Arduino, and Raspberry PiPlan and complete a beginner-friendly signal-processing project using real dataBuilt around established engineering principles and supported by approachable examples, chapter summaries, illustrations, a glossary, formula references, and recommended tools, this guide turns abstract terminology into knowledge you can actually use.
Whether you are studying engineering, experimenting with electronics, working with sensors, or simply curious about the technology around you, this book will help you move from raw measurements to meaningful information with confidence.
Start building your signal-processing foundation today.