Microphone
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Type: 3 × Omni-directional Analog Microphones
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Pickup Range: 1.5 m
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Sensitivity: –38 dBFS/Pa
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Frequency Response: 20 Hz – 8 kHz
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Signal-to-Noise Ratio (SNR): > 65 dB
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Noise Reduction Technologies:
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Environmental Noise Cancellation (ENC)
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Adaptive Noise Suppression (ANS)
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Automatic Gain Control (AGC)
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Speaker
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Driver Size & Power: φ40 mm, 4Ω 3W
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Sensitivity: 87 dB ± 3 dB
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Frequency Range: 100 Hz – 20 kHz
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Mode Bandwidth: 100 Hz – 20 kHz (Music / Call modes)
Connectivity
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Compatible Devices: PC and Mobile Devices
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Bluetooth Version: 5.4
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Supported Profiles: HSP V1.2, HFP V1.7, A2DP V1.2
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Operating Range: Up to 10 m
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Pairable Devices: Up to 8
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Simultaneous Connections: 2 devices
Battery
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Talk Time: Approx. 16 hours
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Music Playback: Approx. 9.4 hours
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Standby Time: Approx. 25 hours
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Charging Time: Approx. 2 hours
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Battery Capacity: 2000 mAh
Physical Specifications
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Dimensions: 110 × 110 × 35 mm
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Cable Length: 1.2 m
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Package Dimensions: 145 × 134 × 38 mm
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Carton Dimensions: 332 × 215 × 310 mm (20 units per carton)
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Net / Gross Weight: 5.9 kg / 6.4 kg
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Unit Weight: 197 g
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Operating Temperature: –10°C to 60°C
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Storage Temperature: –20°C to 80°C
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Operating Humidity: 10% – 95% RH
Package Contents
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Conference Speaker ×1 (Model: CS20)
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USB Cable ×1
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Carrying Pouch ×1
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Quick Start Guide ×1
Research
Fourier Transform isn’t Able to Represent the Abrupt Changes Efficiently
So 1D data have slow oscillation but the images have more abrupt changes. These abrupt changing parts are always the interesting for that data as well as the images. They always show more relevant information for the images and the data.
Now, we have great tool for the analysis of the signals and that is the Fourier transform. But, it doesn’t able to represent the abrupt changes efficiently. That’s the demerit of the Fourier transform. The reason for this is that the Fourier transform is made up from the summation of the weighted sin and cosine signals. So, for abrupt changes that transform is less efficient.
https://intelligentonlinetools.com/blog/2018/12/19/wavelet-denoising-with-daubechies-wavelet/The uncertainty principle, also known as Heisenberg's indeterminacy principle, is a fundamental concept in quantum mechanics. It states that there is a limit to the precision with which certain pairs of physical properties, such as position and momentum, can be simultaneously known. In other words, the more accurately one property is measured, the less accurately the other property can be known.
