Abstract: In various embodiments a computer-implemented method for providing sustainability insights to a user designing an object. The method includes determining a value of a sustainability metric associated with a design of an object; determining a target value for the sustainability metric; determining an amount of progress made towards achieving the target value for the sustainability metric based on the value of the sustainability metric and the target value for the sustainability metric; and displaying, via a graphical user interface (GUI), a visual indication of the amount of progress made towards achieving the target value for the sustainability metric.

Abstract: In various embodiments a computer-implemented method for providing sustainability insights to a user designing an object. The method includes determining a first value of a sustainability metric associated with a design of an object, displaying, via a graphical user interface (GUI), a visual indication of the first value of the sustainability metric, and detecting a change to the design of the object. The method further includes, in response to detecting the change to the design of the object, determining a second value of the sustainability metric and displaying, via the GUI, a visual indication of the second value of the sustainability metric.

Abstract: A discrete-time, digital filter for notch filtering a complex digital signal, the filter having a transfer function allowing selective filtering of complex signal components. A system for receiving a modulated signal, the system including a processor for adaptively generating filter coefficients of a discrete-time, digital filter, for filtering a complex discrete-time signal, the processor configured to (i.) identify a number of signal samples in a discrete-time signal, and use the signal samples to calculate autocorrelation values sufficient to calculate the filter coefficients, (ii.) solve a system of equations, the system of equations defined by a Toeplitz matrix and a vector to determine the coefficient values, the Toeplitz matrix defined using the autocorrelation values, and the vector defined as the autocorrelation values of a white noise signal.