Detection Theory: Applications and Digital Signal Processing

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I am looking for a good reference on DSP. I am a little bit more than beginner and have some experience in DPS. I think I would have to start with rather easier books where a concept of DSP is explained based on practical examples, intuitively.

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Eventually I'd take more advanced books to have solid understanding of DSP, including statistical signal analysis such as power spectra, cross-spectra, coherence, autocorrelation, and cross-correlation and ultimately I'd be interested in signal, sound, noise, or speech detection. These books are usually quite expensive which is fine but I would not like to buy something I'd be disappointed with.

If you could recommend or say whether the books I listed are worth the price, I'd be grateful: I am still waiting for it but have had a chance to read through first two chapters via Kindle App. I must say I am already happy and don't regret this purchase.

Detection Theory: Applications and Digital Signal Processing

I'd recommend this book for all starters. If you're looking for depth about statistical signal processing, I recommend the series of three by Steven M. If you want some more advanced statistical signal processing books, then the ones by Harry L. To the excellent recommendations so far, I would like to add two books I have found useful in understanding digital signal processing.

The book is very well written and makes extensive use of block diagrams that help immensely in visualising signal operations. A bit old but still useful. This is a very good introductory book but also contains code examples in various architectures and from a wide variety of applications including the communications, audio and biomedical domains. By clicking "Post Your Answer", you acknowledge that you have read our updated terms of service , privacy policy and cookie policy , and that your continued use of the website is subject to these policies.