Notch Filters and Resonator Design

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Core Idea

Notch filters provide deep attenuation at a specific frequency while leaving other frequencies unaffected. They place zeros on the unit circle (or s-plane) at the notch frequency. Resonators amplify energy at a resonant frequency, placing poles near the unit circle with high quality factor Q. Both filters are useful for tone removal (notches) or tone enhancement (resonators), and Q controls bandwidth.

How It's Best Learned

Design a simple notch filter by placing complex conjugate zeros on the unit circle. Measure attenuation at the notch frequency and 3-dB bandwidth away from notch.

Common Misconceptions

Explainer

From your work with Bode plots and frequency response, you know that a filter's behavior is completely characterized by the locations of its poles and zeros in the s-plane (continuous-time) or z-plane (discrete-time). Poles amplify frequencies near them; zeros attenuate frequencies near them. A notch filter is the extreme case of targeted attenuation: place a pair of complex-conjugate zeros exactly on the unit circle at angle ω₀, and the filter response goes to zero at precisely that frequency. In discrete-time, the transfer function for the zero pair alone is H(z) = z² − 2cos(ω₀)z + 1, which evaluates to zero when z = e^(±jω₀). Everything else in the spectrum is unaffected — except that you must also add a gain scaling factor to preserve unity gain at DC or some other reference frequency.

The problem with zeros alone is that the notch is very broad — you attenuate a wide band around ω₀. To narrow it, add a pair of poles just inside the unit circle at the same angle: H(z) = (z² − 2cos(ω₀)z + 1) / (z² − 2r·cos(ω₀)z + r²), where r < 1 is the pole radius. As r → 1, the poles move toward the unit circle and nearly cancel the effect of the zeros everywhere except right at ω₀, where the zeros still dominate. The quality factor Q = ω₀ / (2-bandwidth) characterizes the sharpness: high Q means narrow notch. The cost is numerical sensitivity — when r is close to 1, small coefficient errors (from fixed-point arithmetic or finite-precision implementation) shift the poles and dramatically alter the notch depth and bandwidth. High-Q notch filters require careful implementation, sometimes using second-order sections or specialized structures.

A resonator is the dual: instead of zeros on the unit circle, place poles close to but inside the unit circle at the resonant frequency ω₀, with zeros placed away from that frequency (or at DC/Nyquist). The response peaks sharply at ω₀ and falls off at other frequencies. The higher the pole radius r, the closer to the unit circle, the sharper and taller the peak, and the higher the Q. An ideal resonator with r = 1 (poles on the unit circle) would produce infinite gain — an unstable sinusoidal oscillator. A practical digital resonator with r slightly below 1 is a stable narrow-band amplifier that can serve as a tone detector, a channel in a filter bank, or the basis for a sinusoidal signal generator in music synthesis.

Notch filters appear constantly in real systems: removing 50 or 60 Hz power line interference from physiological recordings (ECG, EEG), canceling a specific mechanical vibration frequency in a motor controller, or eliminating a pilot tone in audio equipment. The design recipe is straightforward: identify the exact frequency to remove, place zeros on the unit circle there, and choose a pole radius r to set the acceptable bandwidth. A bandwidth of 2 Hz centered on 60 Hz requires r ≈ 1 − π·(2)/f_s, so at 1 kHz sample rate, r ≈ 0.994. The resulting filter passes all other frequencies with nearly unit gain while achieving 40–60 dB attenuation at 60 Hz — an elegant piece of geometry that requires nothing but two zeros and two poles.

Practice Questions 5 questions

Prerequisite Chain

Counting to 10Counting to 20Understanding ZeroThe Number ZeroCounting to FiveOne-to-One CorrespondenceCombining Small Groups Within 5Addition Within 10Addition Within 20Two-Digit Addition Without RegroupingTwo-Digit Addition with RegroupingAddition Within 100Repeated Addition as MultiplicationMultiplication Facts Within 100Division as Equal SharingDivision as Grouping (Measurement Division)Division: Grouping (Repeated Subtraction) ModelDivision: Fair Sharing ModelDivision as Equal SharingDivision as GroupingBasic Division FactsDivision Facts Within 100Two-Digit by One-Digit DivisionDivision with RemaindersRemainders and Quotients in DivisionDivision Word ProblemsIntroduction to Long DivisionFactors and MultiplesPrime and Composite NumbersEquivalent FractionsRelating Fractions and DecimalsDecimal Place ValueReading and Writing DecimalsComparing and Ordering DecimalsAdding and Subtracting DecimalsMultiplying DecimalsDividing DecimalsDividing FractionsMixed Number ArithmeticOrder of OperationsInteger Order of OperationsVariable ExpressionsCombining Like TermsOne-Step EquationsTwo-Step EquationsSolving Multi-Step EquationsEquations with Variables on Both SidesAngle Pairs: Complementary, Supplementary, and VerticalParallel Lines and TransversalsCorresponding AnglesAlternate Interior AnglesTriangle Angle Sum TheoremExterior Angle TheoremTriangle Inequality TheoremSimilar Triangles: AA SimilaritySimilar Triangles: SSS and SAS SimilarityProportions in Similar TrianglesRight Triangle Trigonometry IntroductionTrigonometric Ratios ReviewRadian MeasureConverting Between Degrees and RadiansThe Unit CircleGraphing Sine and CosineGraphing Tangent and Reciprocal Trigonometric FunctionsDerivatives of Trigonometric FunctionsAntiderivativesIterated Integrals and Fubini's TheoremDouble Integrals in Cartesian CoordinatesDouble Integrals over Rectangular RegionsDouble Integrals in Polar CoordinatesDouble Integrals: Definition and SetupIterated Integrals and Fubini's TheoremDouble Integrals over Rectangular RegionsDouble Integrals over General RegionsApplications of Double Integrals: Area, Mass, and MomentsTriple Integrals in Cartesian CoordinatesTriple Integrals in Cylindrical and Spherical CoordinatesChange of Variables and the Jacobian DeterminantApplications of Triple Integrals: Volume and MassVector Fields and Their RepresentationsLine Integrals of Vector FieldsGreen's TheoremSurface Integrals and Flux of Vector FieldsSurface Integrals and Flux of Vector FieldsDivergence Theorem: Flux and OutflowDivergence TheoremElectric FluxGauss's LawConductors in Electrostatic EquilibriumCapacitance and CapacitorsDielectricsDielectric Constant and Relative PermittivityElectric Field Inside Dielectric MaterialsDielectric Materials and PolarizationDielectric Susceptibility and PermittivityEnergy Density in Electric FieldsElectric Current and Current DensityElectrical Resistance and ResistivityOhm's Law and Circuit ElementsElectromotive Force (EMF) and BatteriesKirchhoff's Circuit Laws: Voltage and CurrentDC Circuit Network Analysis MethodsTransient Response in RC CircuitsRC CircuitsLC and RLC CircuitsAC Circuits: FundamentalsImpedance and ReactanceAC Power and ResonanceElectromagnetic WavesFrequency-Dependent Permittivity and DispersionElectromagnetic Waves in Anisotropic MediaBirefringence and DichroismWave Plates: Quarter-Wave and Half-Wave PlatesCircular and Elliptical Polarization ProductionPolarization States: Linear, Circular, and EllipticalLinear Superposition of WavesSuperposition Principle in ElectrostaticsElectric Field Lines and VisualizationElectric Potential and Potential EnergyElectric Potential and VoltageIdeal Voltage and Current SourcesSeries, Parallel, and Combined Resistor NetworksVoltage Divider Principle and ApplicationsKirchhoff's Voltage and Current LawsNodal Analysis MethodLinearity, Superposition, and ScalingAC Steady-State Circuit AnalysisAC Circuit Analysis Using PhasorsAC Power AnalysisResonance in RLC CircuitsFrequency Response and Bode PlotsNotch Filters and Resonator Design

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