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React Custom Hook: useCookie

Level of difficultyMedium
Reading time4 min
Views3.1K

One of the key advantages of this custom hook is the ability to update the cookie value. The updateCookie function, returned by useCookie, enables you to modify the value of the cookie. By invoking this function with a new value and optional options, such as expiration or path, you can instantly update the cookie.

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React Custom Hook: useClickOutside

Level of difficultyMedium
Reading time2 min
Views3K

The potential applications for useClickOutside are endless. It is particularly useful when implementing modal windows, dropdown menus, or any element that should be closed when a user interacts with anything outside of it. By incorporating useClickOutside, you can enhance the user experience by providing intuitive and efficient interactions.

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React Custom Hook: useArray

Level of difficultyMedium
Reading time2 min
Views6.3K

In this article series, we embark on a journey through the realm of custom React hooks, discovering their immense potential for elevating your development projects. Our focus today is on the "useArray" hook, one of the many carefully crafted hooks available in the collection of React custom hooks.

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Supercharge Your React Projects with Custom Hooks

Level of difficultyMedium
Reading time42 min
Views8.6K

In this article, we dive into the world of custom React hooks and explore the incredible potential they hold for supercharging your work projects. With over 20 carefully crafted hooks at your disposal, I personally utilize these hooks in my own work projects, and now I'm excited to share them with you. From enhancing functionality to streamlining workflows, these custom hooks are designed to empower developers and deliver user-friendly experiences. Join us on this journey as we unleash the power of these 20+ hooks and unlock new levels of productivity and innovation in your React projects.

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Riddles of the fast Fourier transform

Reading time10 min
Views1.5K

• The method of phase-magnitude interpolation (PMI)

• Accurate measure of frequency, magnitude and phase of signal harmonics

• Detection of resonances

The Fast Fourier Transform (FFT) algorithm is an important tool for analyzing and processing signals of various nature.

It allows to reconstruct magnitude and phase spectrum of a signal into the frequency domain by magnitude sample into the time domain, while the method is computationally optimized with modest memory consumption.

Although there is not losing of any information about the signal during the conversion process (calculations are reversible up to rounding), the algorithm has some peculiarities, which hinder high-precision analysis and fine processing of results further.

The article presents an effective way to overcome such "inconvenient" features of the algorithm.

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