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CSE 490g: Introduction to Information Compression Basic data concept: entropy. Lossless data compression techniques: Huffman coding, arithmetic coding, and dictionary strategies. Use of context, structure, and prediction to improve compression. Fundamental signal processing: Fourier and discrete cosine transforms, wavelet transforms, quantization. Fidelity and distortion metrics, price-distortion evaluation. Picture compression: vector quantization, DCT coding, wavelet coding. Video compression: motion compensation and prediction. Audio compression. Image, video, and audio compression standards.
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We talked to a number of VCs, however eventually we ended up financing our startup solely with angel money. The principle reason was that we feared a model-name VC agency would stick us with a newscaster as a part of the deal. That may have been okay if he was content material to restrict himself to talking to the press, however what if he wished to have a say in running the corporate? That might have led to disaster, because our software was so advanced. We were a company whose entire m.. was to win by way of higher technology. The strategic choices were largely selections about technology, and we did not want any help with those.
The coursework at Phoenix Univ. does not even REMOTELY resemble what we studied. It is astounding they ever have been considered for accreditation given the simplistic, limited coursework they provide. Because of this, the public has responded with extra concern and suspicion than it might need otherwise. That’s the liability of anticipating constant pings from government the identical way we expect textual content messages from our partner throughout the day.