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Prolate Spheroidal Wave Functions
Sampling Data Transmission and the Nyquist Rate
16 other sections not shown
adaptive equalizer adjustment algorithm amplitude Appendix approximation assumed average bandlimited baseband binary channel characteristics Chernoff bound coefficients components computed considered constraint convergence correlation corresponding criterion curve data transmission decision feedback equalizer defined delay line density detector digital communication distortion eigenvalues equation error event error probability error rate estimate example finite Fourier frequency function Gaussian noise given IEEE IEEE Trans impulse response Information Theory integral intersymbol interference interval linear equalizer matched filter mean square error mean-square error method minimize minimum modulation Nyquist obtained optimum receiver output paper parameters performance probability of error problem quantization random variable receiving filter recursive samples Section shape factor shown in Fig signal-to-noise ratio simulation solution symbol interference tap gains tap values TDL filter Tech technique test pulses theorem Theory tion transmitted transversal filter truncated upper bound variance vector Viterbi algorithm wave zero