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1 results about "Minimum phase" patented technology
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In control theory and signal processing, a linear, time-invariant system is said to be minimum-phase if the system and its inverse are causal and stable. The most general causal LTI transfer function can be uniquely factored into a series of an all-pass and a minimum phase system. The system function is then the product of the two parts, and in the time domain the response of the system is the convolution of the two part responses. The difference between a minimum phase and a general transfer function is that a minimum phase system has all of the poles and zeroes of its transfer function in the left half of the s-plane representation (in discrete time, respectively, inside the unit circle of the z-plane). Since inverting a system function leads to poles turning to zeroes and vice versa, and poles on the right side (s-plane imaginary line) or outside (z-plane unit circle) of the complex plane lead to unstable systems, only the class of minimum phase systems is closed under inversion. Intuitively, the minimum phase part of a general causal system implements its amplitude response with minimum group delay, while its all pass part corrects its phase response alone to correspond with the original system function.
The application provides a spatial response compensation method and device, electronic equipment and a storage medium. The spatial response compensation method comprises the following steps: constructing a spatial transfer function according to spatial input information and corresponding spatial response information of a system; splitting the spatial transfer function into a minimum phasesystem and an all-pass system; determining a first inverse system corresponding to the minimum phase system and a second inverse system corresponding to the all-pass system; constructing a compensation system according to a preset target frequency response, the first inverse system and the second inverse system; compensating the spatial transfer function through the compensation system to obtain a compensated spatial transfer function; and converting the spatial input information of the system into target spatial response information through the compensated spatial transfer function. The application decomposes an arbitrary stable and causal linear time-invariant system into a minimum phase system and an all-pass system with different properties, and solves the inverse systems of the two systems, thereby reducing the complexity of the solution.