Passive, active, and digital filters (3ed., CRC, 2009) - tiera.ru

IN-14Indexreal-valued weights andoptimization,26-26–26-27running meridian smoothers,26-21–26-26running myriad smoothers,26-14–26-21signal processing,26-1–26-2symmetric a-stabledistributions, 26-28Nonlinear-phase low-pass filter,22-4–22-5Nonminimum-phase transferfunctions, 1-20–1-21Norton equivalent, 9-1–9-2Nyquist points, 23-25OOn-chip spectrum=vector analyzer,17-312-Opamp (OA) CGIC biquadcomposite GIC biquad, 14-18,14-19configuration, 14-2–14-3designsecond-order BP filter,14-8–14-9second-order ButterworthLPF, 14-7–14-8second-order HP filter, 14-9sixth-order Chebyshevlow-pass filter,14-10–14-11sixth-order elliptic bandpassfilter, 14-11–14-12and tuning procedure,14-6–14-73G and 4G ports, 14-2realization, 14-4–14-5second-order transfer function,14-3–14-4sensitivity analysis, 14-4,14-6stability properties, 14-4universal biquad, 14-11,14-13–14-143-Opamp (OA) CGIC biquaddesign and tuning procedure,14-15–14-16sixth-order elliptic BP filterdesign, 14-16–14-17structure, 14-11, 14-14–14-15Operational transconductanceamplifier (OTA) filters,see g m -C filtersPPadukone–Mulawka–Ghausibiquad, 13-19Parallel=series laddersCauer canonical form, 8-14–8-15open-circuit voltage ratio,8-15–8-16RC a- and b-ladder, 8-12–8-13realization, 8-13–8-14scale factors, 8-12transfer admittance level,8-13–8-14two ladder networks, 8-11Parks–McClellan algorithm, 25-18Passive cascade synthesisDarlington type-D Sectioncascade connection, 6-12impedance matrix, 6-13–6-14positive-real impedance,6-11–6-12transmission matrix,6-12–6-13index set, 6-4Richards section, 6-10–6-11two-port network, 6-1–6-2type-E sectionBrune section, 6-7–6-9Darlington type-C section,6-7impedance and transmissionmatrix, 6-6–6-7Passive immittances, one-portnetworkaverage electric and magneticenergy, 5-3driving-point impedance, 5-2,5-4Hurwitz polynomial, 5-7–5-8Kirchhoff current law equation,5-1positive-real function, 5-4–5-5real rational function, 5-5–5-6resistive, capacitive andinductive branch,5-2–5-3RLCM one-port network,5-1–5-2Sturm’s theorem, 5-8Passive RLC filters, 1-23PLCs, see Power linecommunicationsPolar cosine transformbest basis selection,27-16–27-17brushlets and wave atoms, 27-20,27-22butterfly-based digitalimplementationCartesian separable basisfunction, 27-10–27-11forward and inversetransforms, 27-9–27-10Fourier magnitude spectrum,27-11–27-12frequency spectrum, 27-10continuous transformFourier slice theorem,27-6–27-7polar Fourier transform, 27-6Radon transform, 27-6real-to-complex ridge profile,27-5ridge function, 27-5–27-6discrete transform, 27-7–27-8multiresolution Fouriertransform, 27-19–27-20multiscale polar cosinetransformbasis functions andfrequency tiling,27-18–27-19construction, 27-17–27-18denoising results, 27-22nonlinear approximationghosting artifact, 27-14,27-16image patches, 27-12PSNR curves, 27-12–27-14reconstructions, 27-12,27-14–27-15polar cosine packets, 27-16radon-based digitalimplementation, 27-9ridgelet and curvelet transforms,27-20, 27-22standard images, 27-21texture representation, 27-5Polar Fourier transform,27-6–27-7Polar trigonometric transforms,27-7Polynomial filter, 2-11Positive-real function, 5-4–5-5