Steven De Hertogh

Declipping of Audio Signals Using Perceptual Compressed Sensing

The restoration of clipped audio signals, commonly known as declipping, is important to achieve an improved level of audio quality in many audio applications. In this paper, a novel declipping algorithm is presented, jointly based on the theory of compressed sensing (CS) and on well-established properties of human auditory perception. Declipping is formulated as a sparse signal recovery problem using the CS framework. By additionally exploiting knowledge of human auditory perception, a novel perceptual compressed sensing (PCS) framework is devised. A PCS-based declipping algorithm is proposed which uses

Operationalised Business Intelligence: Knowledge Sharing with an Enterprise Ambition at the Amsterdam-Amstelland Police Department

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Performance Management - survey

-norm type reconstruction. Comparative objective and subjective evaluation experiments reveal a significant audio quality increase for the proposed PCS-based declipping algorithm compared to CS-based declipping algorithms.

Intelligence-led policing at the Amsterdam-Amstelland Police Department: operationalized business intelligence with an enterprise ambition

In this article we describe the operationalised Business Intelligence (BI) environment of the Amsterdam-Amstelland Police Department (AAPD) as it presented itself in the spring of 2007. We explicitly focus our attention on the organisational components that support the knowledge process flows required to align the usage of the operationalised BI instruments with their enterprise-wide goal to develop an “Intelligence Led Policing” capability. We illustrate how two specific organisational innovations - the Management Information and Research department and the Information Brokers acted as go-betweens for the various levels of the AAPD and the effective design and use of the informational systems. To make our study concrete, we highlight the use of the Early Warning System and Data Detective tool in support of their capacity management process for law enforcement activities. We conclude this descriptive case study with the key building blocks of this case, and we suggest that an enterprise-wide view and knowledge-based perspective be incorporated in future research on operationalised BI environments.