Abstract: A channel estimation method is configured to estimate a channel length. The method includes the following operations: receiving an input signal; summing the input signal and an analog echo cancelation signal decrease an echo of the input signal, and generate a first signal according to a result of the summation; providing an analog gain value to the first signal to generate a second signal; performing an analog-to-digital conversion to the second signal to generate a third signal; obtaining a ratio according to an energy of a first frequency and an energy of a second frequency of the third signal; and estimating the channel length according to the ratio, and setting the analog gain value according to the estimated channel length.

Abstract: A signal processing method is provided. The signal processing method is used in a Gigabit Ethernet system including a device under test (DUT) and a link partner (LP), and includes the following steps. Firstly, an interference detector is configured to detect whether the Gigabit Ethernet system is interfered by other signal sources. Next, a physical layer (PHY) of the DUT or a PHY of the LP is used to, in response to the Gigabit Ethernet system being interfered by the other signal sources, set a request signal indicating whether or not the physical layer enters a low power idle (LPI) mode as FALSE. Which PHY of the DUT and the LP is used to set the request signal indicating whether or not the PHY enters the LPI mode as FALSE depends upon which one of the DUT and the LP is provided with the interference detector.

Abstract: A channel estimation method is configured to estimate a channel length. The method includes the following operations: receiving an input signal; summing the input signal and an analog echo cancelation signal decrease an echo of the input signal, and generate a first signal according to a result of the summation; providing an analog gain value to the first signal to generate a second signal; performing an analog-to-digital conversion to the second signal to generate a third signal; obtaining a ratio according to an energy of a first frequency and an energy of a second frequency of the third signal; and estimating the channel length according to the ratio, and setting the analog gain value according to the estimated channel length.

Abstract: A signal processing method is provided. The signal processing method is used in a Gigabit Ethernet system including a device under test (DUT) and a link partner (LP), and includes the following steps. Firstly, an interference detector is configured to detect whether the Gigabit Ethernet system is interfered by other signal sources. Next, a physical layer (PHY) of the DUT or a PHY of the LP is used to, in response to the Gigabit Ethernet system being interfered by the other signal sources, set a request signal indicating whether or not the physical layer enters a low power idle (LPI) mode as FALSE. Which PHY of the DUT and the LP is used to set the request signal indicating whether or not the PHY enters the LPI mode as FALSE depends upon which one of the DUT and the LP is provided with the interference detector.

Abstract: A scene model constructing method includes the following steps. According to multiple position parameters in multiple scene materials, classifying the scene materials into multiple position groups. According to scene similarities between the scene materials, classifying the scene materials into multiple first similar image sub-groups and multiple second similar image sub-groups. Establishing a first similar image sub-model and a second similar image sub-model respectively according to the first similar image sub-group and the second similar image sub-group. Combining a first similar image sub-model to a first position model, and combining a second similar image sub-model to a second position model. Finally, combining the first position model and the second position model to a scene model.

Abstract: A scene model constructing method includes the following steps. According to multiple position parameters in multiple scene materials, classifying the scene materials into multiple position groups. According to scene similarities between the scene materials, classifying the scene materials into multiple first similar image sub-groups and multiple second similar image sub-groups. Establishing a first similar image sub-model and a second similar image sub-model respectively according to the first similar image sub-group and the second similar image sub-group. Combining a first similar image sub-model to a first position model, and combining a second similar image sub-model to a second position model. Finally, combining the first position model and the second position model to a scene model.