The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Design of Low-Pass Digital Differentiators Based on B-splinesCSCJournals
This paper describes a new method for designing low-pass differentiators that could be widely suitable for low-frequency signals with different sampling rates. The method is based on the differential property of convolution and the derivatives of B-spline bias functions. The first order differentiator is just constructed by the first derivative of the B-spline of degree 5 or 4. A high (>2) order low-pass differentiator is constructed by cascading two low order differentiators, of which the coefficients are obtained from the nth derivative of a B-spline of degree n+2 expanded by factor a. In this paper, the properties of the proposed differentiators were presented. In addition, we gave the examples of designing the first to sixth order differentiators, and several simulations, including the effects of the factor a on the results and the anti-noise capability of the proposed differentiators. These properties analysis and simulations indicate that the proposed differentiator can be applied to a wide range of low-frequency signals, and the trade-off between noise- reduction and signal preservation can be made by selecting the maximum allowable value of a.
Data-driven decisions are the norm for B2B buyers and therefore they are putting more credence into content that is backed by data and provides unique insights into their specific market. According to the 2013 Content Preferences Study, 60% of executives said they are more interested in content that provides data and research.
This webinar shares new benchmark data on the growing role of custom research in content campaigns and also share a use case example of how a B2B marketer built a successful multi-touch program to support demand generation goals.
Design of Low-Pass Digital Differentiators Based on B-splinesCSCJournals
This paper describes a new method for designing low-pass differentiators that could be widely suitable for low-frequency signals with different sampling rates. The method is based on the differential property of convolution and the derivatives of B-spline bias functions. The first order differentiator is just constructed by the first derivative of the B-spline of degree 5 or 4. A high (>2) order low-pass differentiator is constructed by cascading two low order differentiators, of which the coefficients are obtained from the nth derivative of a B-spline of degree n+2 expanded by factor a. In this paper, the properties of the proposed differentiators were presented. In addition, we gave the examples of designing the first to sixth order differentiators, and several simulations, including the effects of the factor a on the results and the anti-noise capability of the proposed differentiators. These properties analysis and simulations indicate that the proposed differentiator can be applied to a wide range of low-frequency signals, and the trade-off between noise- reduction and signal preservation can be made by selecting the maximum allowable value of a.
Data-driven decisions are the norm for B2B buyers and therefore they are putting more credence into content that is backed by data and provides unique insights into their specific market. According to the 2013 Content Preferences Study, 60% of executives said they are more interested in content that provides data and research.
This webinar shares new benchmark data on the growing role of custom research in content campaigns and also share a use case example of how a B2B marketer built a successful multi-touch program to support demand generation goals.
