Digital signal processing is, obviously, all about the math. This series is from EE Times, and consists of excerpts from the book Digital Signal Processing: Instant Access.
The math of DSP, part 1: Series, integration, and frequency. Part 1 introduces the basic math needed for DSP. Topics covered include polynomials, transcendentals, series, limits, integration, polar notation, and frequency.
The math of DSP, part 2: Complex numbers. Part 2 explains complex numbers. Topics covered include real and imaginary numbers, periodic signals, digital frequencies, and discrete arithmetic.
The math of DSP, part 3: Filters. Part 3 explains the basics of low-pass and high-pass filters. It also explains the concept of causality.
The math of DSP, part 4: Convolution, Fourier, and Nyquist. Part 4 looks at convolution, the Fourier series, and the Nyquist sampling theorem.
The math of DSP, part 5: Orthogonality. Part 5 explains the concept of orthogonality and introduces quadrature signals.
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