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This is part II of a paper devoted to the problem of waveform design for identification of communication channel parameters, where the waveform is to be embedded in a host signal. We study a quantization-based embedding method and a two-step parameter estimator. The first step is a decoding problem, and the second step is a nonlinear least-squares minimization problem. Estimation performance is studied in an asymptotic regime. Under some conditions, the estimator does as well as one that knows the host signal.