Аналитическая карточка нити: Предложения строительных материалов в Беларуси в Беларуси

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SEO-описание	БудМа (будаўнiчыя матэрыялы) - это объединенная база данных рынка строительных материалов в Беларуси, в которой представлены производители, оптовые и розничные поставщики строительных материалов.
AI-анализ	<!--AI_DOMAIN_SCORE:START v1--> AI score 2.96/5 (средний) \| token='budma' \| hints: нейтральный \| domain='budma.by' <!--AI_DOMAIN_SCORE:END v1--> Для определения подходящего интервала частот для применения метода Фурье к преобразованию сигнала в его спектральный состав необходимо определить частоту Никвуиста дискретизации. Эта связана с частотой дискретизации АЦП и периодом выборок. --- I. Introduction In this article, we will discuss the application of Fourier analysis to find the frequency composition of building materials offers in Belarus. We will determine the Nyquist frequency for discretizing the data and apply the Fourier Transform to obtain the spectral representation of the signal. II. Data Collection First, we need to collect data on building material offers in Belarus. This can be done by scraping websites or using APIs provided by online marketplaces. Let's assume we have collected a dataset containing the name, price, and quantity of various building materials. III. Preprocessing Before applying Fourier analysis, we need to preprocess the data. This involves converting the prices to a common unit (e.g., USD), normalizing the prices, and checking for missing values. We may also want to filter out building materials with very low or very high prices to focus on those in the middle range. IV. Discretization To apply Fourier analysis, we need to discretize the data into equal time intervals. Let's assume that each data point represents an offer valid for one week. We will then have 52 data points for each material, corresponding to a sampling frequency of one offer per week. V. Nyquist Frequency The Nyquist frequency
SEO-лексика	[["375", 8], ["строительных", 5], ["материалов", 5], ["беларуси", 5], ["nestor", 4], ["com", 4], ["гравий", 4], ["песок", 4], ["каталог", 3], ["материалы", 3]]
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AI score 2.96/5 (средний) | token='budma' | hints: нейтральный | domain='budma.by'


Для определения подходящего интервала частот для применения метода Фурье к преобразованию сигнала в его спектральный состав необходимо определить частоту Никвуиста дискретизации. Эта связана с частотой дискретизации АЦП и периодом выборок.

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I. Introduction

In this article, we will discuss the application of Fourier analysis to find the frequency composition of building materials offers in Belarus. We will determine the Nyquist frequency for discretizing the data and apply the Fourier Transform to obtain the spectral representation of the signal.

II. Data Collection

First, we need to collect data on building material offers in Belarus. This can be done by scraping websites or using APIs provided by online marketplaces. Let's assume we have collected a dataset containing the name, price, and quantity of various building materials.

III. Preprocessing

Before applying Fourier analysis, we need to preprocess the data. This involves converting the prices to a common unit (e.g., USD), normalizing the prices, and checking for missing values. We may also want to filter out building materials with very low or very high prices to focus on those in the middle range.

IV. Discretization

To apply Fourier analysis, we need to discretize the data into equal time intervals. Let's assume that each data point represents an offer valid for one week. We will then have 52 data points for each material, corresponding to a sampling frequency of one offer per week.

V. Nyquist Frequency

The Nyquist frequency