This article considers the identification of finite-impulse response systems, where information about the inputs and outputs of the system undergoes quantization into binary values before transmission to the estimator. In the case where the thresholds of the input and output quantizers can be adapted, we propose identification schemes that are strongly consistent for Gaussian distributed inputs and noises. The algorithms are based on the idea that certain joint probabilities of the unquantized signals can be estimated from the binary signals, and the system parameters can then be inferred from these estimates. The algorithms and their properties are illustrated in simulation examples.

中文翻译：

---

利用二进制输入和输出观测值识别 FIR 系统


本文考虑有限脉冲响应系统的识别，其中有关系统输入和输出的信息在传输到估计器之前会被量化为二进制值。在可以调整输入和输出量化器的阈值的情况下，我们提出了对于高斯分布输入和噪声强一致的识别方案。该算法基于这样的思想：可以从二进制信号中估计未量化信号的某些联合概率，然后可以从这些估计中推断出系统参数。仿真示例中说明了算法及其属性。