Frequency Analysis Pillows
Description: Filter out the background noise to reveal the legend. Plotted on a custom-designed application using Fourier Transform epicycles, this vibrant blue-to-magenta gradient Bigfoot represents finding a clear signal in a noisy system. A perfect design for acoustical engineers, data analysts, and signal processing professionals.
Description: A monochrome diagram displaying multiple Phon curves with labeled decibel sound pressure levels (dB SPL) on the y-axis and frequency in Hertz (Hz) on the x-axis. The graph features a barred frequency response with various curved lines representing different phon levels, such as 120, 960, 180, 900, and several instances of 'Phon'.
Description: In 1822, Joseph Fourier showed that some functions could be written as an infinite sum of harmonics. This method called fourier series allowed us to construct very complex signal by only using the summation of sine and cosine signal. Furthermore by taking some statistic method, the scientist figure out that this complex signal can be transformed into frequency domain, so the analyzing or utilization of signal was becoming more advance. Nowadays application of fourier transform can be found everywhere. Your smartphone, your face recognition, radio, stock exchange, heart monitor, etc. And finally it is time to found its application in your daily outfit. Grab it fast.
