Implementing Simultaneous Digital Differentiation, Hilbert Transformation, and Half-Band Filtering
Recently I've been thinking about digital differentiator and Hilbert transformer implementations and I've developed a processing scheme that may be of interest to the readers here on dsprelated.com.
Summary
Rick Lyons presents a compact processing scheme that implements a digital differentiator, a Hilbert transformer, and a half-band filter simultaneously. The paper explains the algorithmic structure, multirate/polyphase realizations, and practical implementation trade-offs for efficient real-time DSP.
Key Takeaways
- Implement a combined FIR structure that performs differentiation, Hilbert transformation, and half-band filtering using shared polyphase components.
- Exploit multirate techniques (decimation/interpolation and half-band symmetry) to cut computation and memory costs.
- Design FIR differentiators and Hilbert transformers to meet amplitude, phase, and group-delay specifications using windowed or equiripple methods.
- Analyze frequency response and group delay with FFT-based spectral tools to verify analytic-signal formation and differentiator accuracy.
- Optimize fixed-point and resource usage for real-time DSP targets to balance precision, latency, and computational load.
Who Should Read This
Advanced DSP engineers or graduate students focused on filter design and multirate/real-time implementations who need efficient methods for analytic-signal generation and differentiators.
TimelessAdvanced
Related Documents
- A Quadrature Signals Tutorial: Complex, But Not Complicated TimelessIntermediate
- Lecture Notes on Elliptic Filter Design TimelessAdvanced
- Computing FFT Twiddle Factors TimelessAdvanced
- Digital Envelope Detection: The Good, the Bad, and the Ugly TimelessIntermediate
- The World's Most Interesting FIR Filter Equation: Why FIR Filters Can Be Line... TimelessAdvanced










