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	Renesas Electronics America Showcases Latest Signal Chain Solutions Enabling the Smart … | MathWorks Announces Release 2013a of the MATLAB and Simulink Product Families . . . last week's e-clips alert for wavelets
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Express Logic develops, markets and supports the ThreadX® real-time operating system (RTOS), NetX™TCP/IP networking stack, USBX™ USB stack, FileX® embedded file system, and PEGX™ GUI toolkit for embedded applications. ThreadX is a royalty-free, full source code, small-footprint, low-overhead RTOS that is extremely easy to learn and use. ThreadX is one of the most widely deployed RTOS products in the world, with over 1.25 billion products based on ThreadX.

Definition: A wavelet is a mathematical function used to divide a given function or continuous-time signal into different frequency components and study each component with a resolution that matches its scale. A wavelet transform is the representation of a function by wavelets. The wavelets are scaled and translated copies (known as 'daughter wavelets') of a finite-length or fast-decaying oscillating waveform (known as the 'mother wavelet'). Wavelet transforms have advantages over traditional Fourier transforms for representing functions that have discontinuities and sharp peaks, and for accurately deconstructing and reconstructing finite, non-periodic and/or non-stationary signals. In formal terms, this representation is a wavelet series representation of a square-integrable function with respect to either a complete, orthonormal set of basis functions, or an overcomplete set of Frame of a vector space (also known as a Riesz basis), for the Hilbert space of square integrable functions. Wavelet transforms are classified into discrete wavelet transforms (DWTs) and continuous wavelet transforms (CWTs). Note that both DWT and CWT are of continuous-time (analog) transforms. They can be used to represent continuous-time (analog) signals. CWTs operate over every possible scale and translation whereas DWTs use a specific subset of scale and translation values or representation grid. Source: Wikipedia (http://en.wikipedia.org/wiki/Wavelet)