Digital Signal Processing
Digital signal processing Analog/digital and digital/analog converter, CPU, DSP, ASIC, FPGA. Advantages: → noise is easy to control after initial quantization → highly linear (within limited dynamic range) → complex algorithms fit into a single chip → flexibility, parameters can easily be varied in software → digital processing is insensitive to component tolerances, aging,
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Digital Signal Processing - University of Cambridge
www.cl.cam.ac.ukDigital signal processing Concerned with algorithms to interpret, transform, and model wave-forms and the information they contain. Some typical applications:
Re-discovering Scotland’s pastoral pipes
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Quantum Mechanics Basic Principles - cl.cam.ac.uk
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www.cl.cam.ac.ukBeyond ACID/Relational databases Timothy G. Griffin Lent Term 2014 ... Apologies to Martin Fowler (“NoSQL Distilled”) Application-specific databases have always been with us . . . Daytona (AT&T): “Daytona is a data management ... combine traditional Relational DBMS technology with NoSQL …
The National Programme for IT in the NHS
www.cl.cam.ac.ukThe National Programme for IT in the NHS (NPfIT) was the largest public sector IT programme ever attempted in the UK, originally budgeted to cost approximately £6 …
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Computer Vision - University of Cambridge
www.cl.cam.ac.ukunderstand in depth at least one important application domain, such as face recognition, detection, or interpretation ... An image is a two-dimensional optical projection, but the world we wish ... complexity of the problem and the poverty of the data.
Computer Fundamentals - University of Cambridge
www.cl.cam.ac.uk•1964: IBM System/360, based on ICs. ... Software Hardware. 12 Digital Electronics in a Slide •Take an electric circuit but treat high voltages as 1, and low voltages as 0 ... Mnemonic C/Java Equivalent Mnemonic C/Java Equivalent andd ← a, b d = a & b; addd ← a, ...
Information Theory and Coding - University of Cambridge
www.cl.cam.ac.ukGabor-Heisenberg-Weyl uncertainty relation. Optimal \Logons". Uni cation of the time-domain and the frequency-domain as endpoints of a continuous deformation. The Uncertainty Principle and its optimal solution by Gabor’s expansion basis of \logons". Multi-resolution wavelet codes. Extension to images, for analysis and compression. Kolmogorov ...
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www.cl.cam.ac.ukBy de nition: P(a 6 X < b) = Z b a f(x)dx (11:2) Any function of a random variable is itself a random variable and, if y is taken as some transformation function, y(X) will be a derived random variable. Let Y = y(X). Notice that if X = a the derived random variable Y = y(a) and if X = b, Y = y(b).
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